Reasons for demanding such course and its effect

Reasons for demanding such course and its effect in the first 10 year time frame Since my infancy, I was profoundly influenced by my father, who was engaged in the area of business.   During the years, I also noted that my passion for the business field arose from other reasons, apart the influence exercised by my father.   Such other reasons mainly comprise the vastness of the topic, which does not consist of a simple equation learned from a textbook. It requires good knowledge on the firm’s strengths and weaknesses, through which one can apply sound judgments and decisions in a highly dynamic and changing market environment.   There is also the issue of managing personnel properly in order to enhance efficiency and effectiveness.   Such fascination in such profession always inclined me to read relevant articles on managerial performance and accomplishments.   For instance, a particular manager that astounded me and boosted my interest was the Wal Mart founder Sam Walton, who out of a mere $6,000 investment was able to create one of the largest corporations in the world.   I also frequently noticed that several entrepreneurs like for example Nike, commenced from an MBA program. In this respect, once achieving the MBA Degree, I intend to gain some experience in management and start my own business.   I know this is a highly ambitious aim, but as Sam Walton frequently stated, one should nurture and follow a dream in a way that it enables him to grow personally in character and mind. Reasons behind succeeding in the course and career pursued My interest in higher education, especially in commerce subjects evolved over time.   Ironically in my younger days, I was not a committed student.   I occasionally turned up home workers and followed readings from textbooks, as instructed by the lecturer.   However, when I commenced working I realized the need of technical competence in business studies.   For instance, one of my great embarrassments was the inability to comprehend the financial statements of the organization I was employed in.   In addition, I noted that my colleagues technical information was far much greater than mine. Through this culture shock, I realized the need of such knowledge.   I started reading relevant textbooks and articles to increase such important know-how.   I also realize that once I am dedicated to an objective, I strive and work very hard for it.   Indeed I did such reading at night after a full day of work.   I believe that such positive feature will assist me to meet deadlines and work under pressure both during the course and at work. I am also a smart doer, who possesses good analytical skills.   Whenever a problem arises, I meticulously examine the situation at hand and consider the possible options carefully before rushing into any drastic conclusions.   If there is no easy way out to such issue, as it happens sometimes, I am frequently inclined to the best option, even though it is the hard way around.   In business administration, taking sound decisions is a critical need.   Also the ability to prioritize the ultimate objective over any hardships that will be encountered is important to reach goal congruence and avoid deviations and conflicts. Methods of communicating and interacting with team members Apart from being a fine doer, it is important that a person is a good listener.   A manager that neglects and/or pays little attention to employee requests is not a good manager.   When one is working in a team, as it frequently happens in business organizations, one should appreciate the fact that the corporate objective is achieved with the help of all the team and not management only.   Sometimes, good ideas come from staff within the team. Therefore a manager should respect the team members ideas at all levels and consider carefully suggestions proposed.   When a good recommendation is given, it should be discussed and examined and if it is a good idea, one should clearly say so even though it comes from a worker.   Indeed, a good idea of communication is the adoption of 360-degree feedbacks. Listening is one of the important characteristics that a good leader should have.   Traditionally, it was thought that a good leader is a born leader.   However nowadays, it is believed that leadership skills can be learned as denoted by Orlitzky M. and Benjamin J. on pages 128 to 138 of their textbook, published in 2003.   Yet, a person that is born with good leadership skills posses an advantage over those who lack and need to learn.   I always exercised positive influence on my friends and induced them to certain actions. For instance, my peers commonly sought my advice on certain matters.   This is thus another important characteristic that can aid in communicating properly with team members.   One last point that I wish to make is that even thought I inherently possess good leadership abilities, this does not necessarily mean that I should not learn to further enhance such skills. References: Ivy League Admissions.   MBA Essay Writing Tips and Strategies (on line).   Available from:   http://www.ivyleagueadmission.com/buswritingtutorial.html (Accessed 18th March 2007). Orlitzky M.; Benjamin J. (2003).   The effects of sea composition on small-group performance in a business school case competition, Academy of Management Learning, Vol. 2, No. 2

gay rights essays

gay rights essays Two men want to adopt a child in Texas. They have been together for five years and a child would be the one detail that would complete their lives. They filled out the application and it was perfect it was the perfect home for a child; except there was one small problem that caused their application to be rejected; the fact that they were gay. These people can never have the life that they desire because of their sexual orientation. Scenes like this are happening all over the country and they are going against every thing America stands for. Every one should have the basic privileges of marriage, children, working at a certain place and much more despite their sexuality. There are reasons for and against to deny homosexuals the rights that heterosexuals have . There is no need to take away peoples dreams and freedoms just because they are different. Homosexuals should have the same legal rights and privileges as heterosexuals in the community and elsewhere. Together with much controversy the state of Vermont has taken a step in the direction of honoring homosexuality. In April of 2000 the House passed a Bill of Civil Unions. (Vermont governor) This bill grants gay and lesbians the benefits of marriage. The governor promised to sign the bill, and the first civil unions may take place July 1st, 2000.(Vermonts gay marriage bill). Consequently some people are outraged by this decision. Dr. Laura Schessionger has been urging her listeners to demonstrate by calls and mail to Vermont that they are outraged by this new bill (Stop Dr. Laura). She is one of the many opposed to being gay. She calls she calls homosexuality Deviant and Dysfunctional, she also calls homosexuals biological mistakes (Stop Dr. Laura) Even if homosexuality is dysfunctional does that mean we have a right to outlaw that lifestyle because the majority opposes it? I think it is courageous and powerful stateme...

Capitalization Rules for the Names of Games

Capitalization Rules for the Names of Games Capitalization Rules for the Names of Games Capitalization Rules for the Names of Games By Mark Nichol How do you style the first letter of words for games and similar entertainment? The default setting is lowercase, though of course there are exceptions. Names of card games are lowercased except for words normally capitalized, thus poker, but â€Å"Texas hold ’em.† Names for other games of chance, whether more or less â€Å"legitimate† ones like Russian roulette and bingo, those that straddle both worlds (like craps, which has two forms: casino, or table craps, and street craps), and confidence games like three-card monte, follow the same rules. Names of variations, and other terminology, aren’t capitalized, either. Those of strategy games such as chess and checkers are lowercased, too (but note â€Å"Chinese checkers†), as are names of tile games such as dominoes. Traditional children’s games like tag and hopscotch, and those with more complex names, such as capture the flag, hide-and-seek, and king of the castle, need no special emphasis, either. Brand names of trademarked games like Monopoly, Scrabble, and Chutes and Ladders are capitalized, but note that it is not necessarily to use registration symbols with them. (You will, of course, note the r in a circle adjacent to the brand name on the game itself and in printed and online literature published by the company, as well as in written materials of any company affiliated or in partnership with the trademark holder, but no other publication is required to include such symbols.) Names of electronic games follow the same rule. You may also see these names italicized or enclosed in quotation marks; the justification for these styles is that such games have a narrative and are therefore equivalent to films. However, names of kinds of software are capitalized but not italicized. Names for games like pool and its variants, foosball, air hockey, and other tabletop entertainments should not be capitalized. Names of competitive sports such as baseball, basketball, and football are lowercase, but note that Major League Baseball is not merely a description of the highest level of professional baseball in the United States but also the official designation and is thus capitalized. Names of large competitive events are capitalized: Examples include, in the United States, the World Series and the Super Bowl, and internationally, the Olympic Games (informally called the Olympics) and the Pan American Games. (But note that â€Å"Highland games† is a description and not the name of a specific event.) Want to improve your English in five minutes a day? Get a subscription and start receiving our writing tips and exercises daily! Keep learning! Browse the Style category, check our popular posts, or choose a related post below:Comma After i.e. and e.g.Comma Before ButHow to Write a Proposal

Death and Afterlife Essay Example | Topics and Well Written Essays - 750 words

Death and Afterlife - Essay Example In the Epic of Gilgamesh called Enkidu's Dream written around 2000 BC, the bleak concept of death being an express outcome of sins committed in life, there is a very apt reference to kings' "crowns put away forever" and the ones who stood at any worldly position on Earth "stood now like servants". This depicts how the Mesopotamian had an acute belief that the afterlife was merely suffering and distress to say the least and the dead were both pitied and feared. Furthermore, the references to "vampire foot", "lion's foot" and "eagle's talon" all illustrate the fears that the people of this time had and how they associates all that they feared with the dismal possibility of death and what they figured would happen afterwards. Contrary to this dreary outlook to life after death of the Mesopotamian people, the Greeks were more optimistic about the afterlife. Although they believed that the people who did wrong on Earth will be punished severely by the gods in the afterlife, they also believed that the good doers will have an eternally peaceful life; modern researchers believe that the concept of heaven and hell originated from this era. The Myth of ER which is the concluding part of Plato's dialogue called The Republic, talks of a man called ER who dies in battle but remains un-decomposed even after ten days when his body was recovered. Waking up two days later on his unreal pyre, he tells his people about his passage to the afterlife (probably one of the first recounts of out of body experiences) in which he sees that moral people were rewarded and the immoral were castigated in their afterlives. Many believe that this was the point where the belief that the soul was mere energy and never dies came about and the intervention of a divine being brought about conviction in following religions. Punishment and rewards in the afterlife were considered a direct consequence of one's conduct in life. The Egyptians were another matter altogether. While both the Greeks and Mesopotamians agreed on the fact that there was a life after death which may either be absolutely bleak or have either a reward or a punishment awaiting them, the Egyptians treated their dead as if they were not dead after all. Elaborate preparations went into the ensuring that a person's ka (soul) and ba (personality) were united and the being would once more surface to travel to the heavens - intact and whole. The body was embalmed for preservation and provisions like writing paper, wigs, clothing and even tools were made available that the dead may need in the afterlife. The pyramid texts inscribed inside the pyramids of some pharaohs of the fifth and the sixth dynasties are primarily associated with the transition of the dead pharaoh to its heavenly abode. "He is not of the earth, he is of the sky. . . ." depicts this transition in terms of the passage a dead being takes after the incorporation of the ka and the ba. Journey to the next world is imminent and the work continued as if alive! While both the Mesopotamians and the Greek eloquently believed that death is the end and the after life depicts what we have done in actual life, the Egyptians believed in the re-usage of energy (soul) for the continuation of the same work being done at the time of death. Oddly enough,

Compound helicopter Literature review Example | Topics and Well Written Essays - 3000 words

Compound helicopter - Literature review Example The Nelson Speed Limit holds true for helicopters even today. 3 Although helicopters have achieved what is considered the â€Å"Holy Grails of powered flight,†4 because of their ability to fly vertically, their limited capacity in speed and maneuverability have led aircraft builders to explore ways to augment performance metrics. One of the solutions offered by research is the compounding of the basic design of conventional helicopters with additional components to help achieve better speed and efficiency. Background: Compound Helicopters A compound helicopter is a conventional helicopter that has undergone modification with the addition of several components for the purpose of augmenting and enhancing basic performance metrics such as lift-to-drag ratio, propulsive efficiency and maneuverability.5 The most overt additions in a compound helicopter are fixed wings.6 Compound helicopters are often called hybrids because they are a combination of conventional helicopters, which a re powered by rotors, and fixed wing aircrafts like planes, although some compound helicopters do not have wings. Compound helicopters have the important capability of conventional helicopters - VTOL (vertical take-off and landing).7 What additional features precisely make a helicopter compound has not been unanimously agreed however. John Watkinson, for example, described a compound helicopter as one in which the production of forward thrust in cruise is not up to the rotor but by some other device while Ray Prouty depicted them as having wings and a propulsion device, which could be a jet engine, ducted fan, or propellers for the purpose of alleviating the rotors from lifting or propelling tasks.8 Leishman simply defined it as one in which additional parts are appended for the purpose of enhancing and augmenting basic performance metrics.9 Figure 1 shows a diagram of a compound helicopter with a four-blade main rotor atop its body as is commonly found in conventional helicopters. However, fixed wings or flaperons can also be observed attached to its fuselage. Fixed wings function to off-load most, if not all, of the rotor’s duty to lift the helicopter at high speed. The presence of a ducted propeller at the rear can also be observed, which likewise serves the function of taking away from the main rotor the task of driving the helicopter forward. Some compound helicopters may or may not have either fixed wings or a propulsion mechanism other than the main rotor, but all additional appendages in a compound helicopter serve the purpose of driving it at speed not available to conventional helicopters.10 Fig 2 Diagram of a Compound Helicopter11 2.0 History of Compound Helicopters The first known compound helicopter was developed in Germany in the 1930s by Anton Flettner, but two other models were also developed in that part of the world. The Fl 184 had two airscrews, fitted with propellers at each end facing at opposite directions, and attached to either s ide of the helicopter fuselage. The airscrews functioned to counter the torque effect of the three-blade rotor and helped the aircraft propel forward. The Wn

Most multinational corporations (MNCs) need not enter foreign markets Essay

Most multinational corporations (MNCs) need not enter foreign markets to face the challenge of dealing with multiculturalism. Explain your answer - Essay Example For the purpose of analysis, the notion of cross-culturalism is explored with Hofstede’s dimensions with discussion of the cases of Wal-Mart and Google to reach to the conclusion that expansion in foreign markets is almost never in the long run interest of multinationals. Research bears witness to the fact that differences in cultures across countries account for differences in management and leadership styles of MNCs today (Gerstner & Day, 1994). In today’s globalized world, it is imperative for MNCs to appreciate and adapt to diversity in cultures and mould their management styles accordingly in terms of cognitive information processing and emotional, behavioral and motivational mechanisms (Earley, 2006). Considering the fact that many developed (western) nations are setting up businesses (as MNCs) in the less-developed (Asian/ Eastern) societies, it is increasingly important for managers to appreciate and understand the differences that exist between the eastern and western societies. Research by Hofstede (1980, 1991, and 2001) identifies key dimensions that account for variation between the Eastern and Western cultures, including masculinity, power distance beliefs, uncertainty avoidance and long term orientation. On one end of the continu um are the Eastern societies that rank high in terms of high power distance beliefs, collectivism, long term orientation and conformity. On the other end lie the Western societies that are more work-oriented, have low power-distance beliefs and are inherently individualistic in nature. Furthermore, increased influence of multinational corporations has given rise to the need for interaction amongst employees and managers of different cultures (Adler, 1983). This has given birth to the concept of cross-culturalism which attempts to examine the attitudes, behavior and relationships across managers (and people in general) of

Study on the Prediction of Corporate Bankruptcy

Study on the Prediction of Corporate Bankruptcy CHAPTER 1: A number of researches have been carried on the prediction of bankruptcy; formal studies linked with failure of business were conducted in 1930s. A study conducted by Simth and Winakor (1935) said that ratios of the failing firms were significantly changed from the continuing firms. In addition to that another study was related to the financial ratio of large size corporation that suffered in meeting fixed liability (Hickman 1958). Recent studies took potential ratios given in annual financial statements like profitability, solvency, and liquidity ratios considered as the most predictive indicator and these ratios were matched with failed and well worth firms for analysis. A group of financial and economic ratios were examined in the prediction of bankruptcy through multiple discriminant statistical technique, highest contributor ratios were profitability, operational profit/ total assets and very low contributor ratio was working capital/Assets (Altman, 1968). According to Pastena and Ruland (1968), the bankruptcy was defined in the literature review in various ways. Among those one was in a condition of negative worth where the market value of assets was less than the total value of liabilities. And the other was that the firm was not in a condition to pay back its liabilities as it became due. This term could also be used in a legal condition under which the firms continued to operate under court protection. 1.2 Problem Statement In the corporate finance, the prediction of corporate bankruptcy was considered to be one of the most important issues. The main objective behind the study of the prediction of corporate bankruptcy was that this was the most important issue for the present firms to either file for the bankruptcy or not. The rationale of the study was to examine whether the financial ratios given in detail by Altman (1968) presented the detail regarding the factors of the firm which were helpful in the prediction of corporate bankruptcy in Pakistan. The capacity of study was to investigate the distinctive financial ratios which impacted the firms decisions to file for the bankruptcy or not and on the basis of firms financial ratios, the research study found the different significant ratios which were useful in determining the prediction of any of the organization. 1.3 Hypotheses The main problem of the different firms was to identify those financial factors or the most important ratios which could lead to the filing of bankruptcy or those factors which were useful in determining the prediction of the corporate firms. A central query in front of firms which wanted to file for bankruptcy was why the firms filed for bankruptcy or what financial factors helped out in taking decision to file for bankruptcy. Various financial factors or ratios impacted the decision regarding the filing for bankruptcy. These financial characteristics or the most important ratios were current ratio, debt ratio, net profit margin, assets to long term debt ratio, and growth rate. Many authors as Altman (1968) discussed these characteristics in research. The hypothesized relationship of these listed financial factors with bankruptcy was provided below: H1: There is a difference between the Current ratio of bankrupted companies and non bankrupted companies. H2: There is a difference between the Debt ratio of bankrupted companies and non bankrupted companies. H3: There is a difference between the Net Profit Margin ratio of bankrupted companies and non bankrupted companies. H4: There is a difference between the Assets to long term debt ratio of bankrupted companies and non bankrupted companies. H5: There is a difference between the Growth rate of bankrupted companies and non bankrupted companies. 1.4 Outline of the Study The research structured as follows. Chapter one based on the introduction of the thesis, which consists of the some introduction of the prediction of bankruptcy by different authors, the statement of problem, scope and objectives, hypothesis etc. Chapter two consists of literature review given by different authors, theories on prediction of bankruptcy and financial factors affecting the choice of decision to file for bankruptcy or not. Chapter three described methodology which is composed of justification of the selection of the variables utilized in analysis sample, the data, technique and hypothesis, also estimate model utilized in analysis. In chapter four, analyses of the results were there which were taken after the data processing. Chapter five contained the final results, conclusions and recommendations. References are included in chapter number six. CHAPTER 2: LITERATURE REVIEW A number of researches have been carried on the prediction of bankruptcy; formal studies linked with failure of business were conducted in 1930s. A study conducted by Simth and winakor (1935) said that ratios of the failing firms were significantly change from the continuing firms. In addition to that an other study was related to the financial ratio of large size corporation that suffered in meeting fixed liability (Hickman 1958). Recent studies took potential ratios given in annual financial statements like profitability, solvency, and liquidity ratios considered as the most predictive indicator and these ratios were matched with failed and well worth firms for analysis. A group of financial and economic ratios were examined in the prediction of bankruptcy through multiple discriminant statistical technique, highest contributor ratios were profitability, operational profit/ total assets and very low contributor ratio was working capital/Assets (Altman, 1968). A study conducted by Sandin and Porporato (2007) on corporate bankruptcy prediction model applied to emerging economies. The aim of this study was to find the predictability of bankruptcy by using the financial ratios given in the financial statements and these financial statements were taken from the Buenos Aires Stock Exchange. To test the hypothesis twenty two bankrupt and non bankrupt companies were examined by using the multiple discriminant analysis technique, resulted that financial ratios were very useful in predicting the bankruptcy. Actually this study was about the prediction model and classification of the distressed and failed companies in the Argentina. William Beaver (1996) conducted a study that Financial Ratios As Predictor of Failure, wherein ratios were tested for a specific purpose. The purpose was to forecast the failure. Since ratios were mostly examined for the prediction of failure. The aim of the study was to analyze the status quo that was depended on the financial statements made under the reporting standard and this study was conducted as a bench mark for further studies in bankruptcy area. Sample of data was selected on the basis of industry, firm size and period, Walworth companies should have taken from the same industry where from failed companies taken along with same firm size based on firm value and equal time duration then reliable result can be obtained said by Beaver (1996). This study pointed out and directed to the asset size and relationship among ratios, assets size and failure, study implicated that larger firms were more solvent than smaller firms, even if ratios were same. To examine the hypothesis, a paired analysis was used. According to Pastena and Ruland (1968), the bankruptcy was defined in the literature review in various ways. Among those one was in a condition of negative worth where the market value of assets was less than the total value of liabilities. And the other was that the firm was not in a condition to pay back its liabilities as it became due. This term could also be used in a legal condition under which the firms continued to operate under court protection. Merger and Bankruptcy Based on the literature review in the different research studies, it was found that the shareholders of the distressed firms were getting more benefit from mergers than from the bankruptcy. Thus, the investors kept the positive number of the firms stocks up as a consequence of the merger. Contrastingly, the stakeholders received nothing in case of the bankruptcy. Shrieves and Stevens (1979) managed to explain all of the possible reasons for preferring merger over bankruptcy and those principles included: (1) to avoid the bankruptcy legal and administrative costs, (2) possible loss of tax carry forwards of the loss firm incurred on liquidation, (3) the value of the going-concern in the merger was more than liquidation value if the firm bankruptcy progressed towards the liquidation, and (4) the bankruptcy created the bad effects on the revenues including sales and income due to the customer fears of inability contracts, give replacement parts, etc. Bulow and Shoven (1978) noticed based on the research that the investors have always been avoiding the bankruptcy and this tendency always benefitted the creditors as a whole and that theoretically, the bankruptcy occurred because of the disagreement between the concerned parties. This was treated in a literature that the merger was the best possible alternate of the bankruptcy with the assumption in the mind that it was more easy for the distressed firms to find a merger partner at some price as long as the net asset value was positive and this was also under the assumption of a well-functioning market for information. When the situation was aggravated toward a condition of less or negative net asset value, the possibility of merger was reduced. Hong (1983) made an empirical as well as theoretical model which distinguished among three different categories of financially upset firms and it was organized in three ways such as: firms which filed bankruptcy but reorganized successfully, firms which filed for bankruptcy but were liquidated ultimately, and also the firms which continued operations with out even filing for bankruptcy. Author further made a hypothesis that the intangible assets, the value of the firm as in a going concern and the value of the same firm in liquidation was different, were the main describing factor which affected the eventual outcome. The firms which had greater intangible assets were possibly having a sustainable economic growth and that growth allowed a firm to survive rather than be liquidated. LoPucki (1983) made an explanatory study of about 41 firms which filed the bankruptcy court of the Western District of Missouri. In this study, the à ¢Ã¢â€š ¬Ã…“successesà ¢Ã¢â€š ¬? were defined as the firms which have verified its various reorganization strategies that kept it on to survive for about three years after the date of petitioning the bankruptcy. Failures according to the author were those firms which had stopped operating functions before February 1983. LoPucki (1983) further could not try to make a method with discriminatory power, but in fact simply scrutinized the associations between the results of reorganization process and numerous individual variables. These individual variables included size, age, and type of the businesses, the survival of creditors opposition to the reorganization strategy, and physical geographic location. The relationships which were found during the research were: significantly higher success rate was associated with the manufacturing fi rms; more successful firms were only the larger firms; success was not significantly associated with the age of the firms; the target opposition of the creditors was mainly at the more successful firms; and lastly, the physical geographical location was not a significant describing variable. In short, only a finite amount of research was conducted on the topic of differentiating between failures and successes in bankruptcy, and outcomes have been open to doubts or inconclusive. The one published study conducted by the LoPucki (1983), scrutinized the first order correlations and could not struggle to build the model of classification. The other published research study conducted by Hong (1983), scrutinized the comparative importance of numerous individual variables and had not analyzed the classification authentication of the multivariate model. As it was already discussed in detail, this present study scrutinized the classification authentication of the multivariate model by using data from both analysis sample and a holdout sample 113 firms. Bordman, Bartley, and Ratliff (1981) noticed that firms went bankrupt only when its capital resources were not enough to pay back the obligations of the business. Thus it became the more important challenge for the new comers in the industry to maintain and establish such valuable resources and capabilities which could ultimately leaded to the production of positive cash flows before starting asset resources were exhausted (Levinthal, 1991). According to DAveni (1989), and Hambrick and DAveni (1988), both researches have noticed that most of the attention has been paid to the early failures and dramatic research has also been conducted in the literature. A macro view of the bankruptcy was given as a known strategy and an empirical examination of factors associated to successful reorganization (Moultan, and Thomas, 1993) and however, the structures of corporate governance were not incorporated in the analysis. An extensive data was available relating the intensity to which the officers and directors of the firm which was bankrupt were more possibly resigning or were being replaced (DAveni, 1990; Fizel Louie, 1990; Gilson, 1989). Several researchers used the multiple discriminant analysis MDA technique to develop a linear model to predict those firms which failed could be differentiated from the non-failed firms in UK (Taffler, 1977). This model resulted in an overall classification authentication for the year before the failure as comparative to three or two prior years of failure. The major contribution made by Taffler was the establishment of a Z-score model which was used for the prediction of company failures in the UK and furthermore, the author claimed of 100 percent predictive authentication in the model. In addition, in the consequent studies, Taffler (1982, 1983) discussed the pairing technique which was used in the prediction of corporate failure studies proved no more successful technique than any selection by the other tool or technique. Multiple Discriminant Analysis MDA models were dependable to certain intensity in the prediction of corporate failure. CHAPTER 3: RESEARCH METHODS 3.1 Method of Data Collection Data was selected from Karachi Stock Exchange KSE 100 Index as given by State Bank of Pakistan in publication Balance Sheet Analysis of Joint Stock Companies Listed on the KSE (2004-2009). The period of study covers six years, 2004-09. The opted sample size of 44 firms was taken from KSE 100 Index and all of the firms listed on KSE 100 Index were selected for the samples which were going to bankruptcy in the past and some were also the present functioning firms which were currently working; so, only 44 firms included in the sample period of 2004-09. The objective behind the inclusion of these selected firms in the sample was that the inclusion of bankrupt and non-bankrupt firms in the analysis made it easier to distinguish the critical financial ratios of these both firms in order to predict for corporate bankruptcy. The data availability was the major issue faced in this research study. The secondary data sources were adopted for the collection of the data during this research study. Both of the empirical and theoretical aspects regarding the prediction of corporate bankruptcy were analyzed in this research study. For the purpose of the collection of the secondary data, external data sources were used, such as the data was collected from State Bank of Pakistan, general business publications, newspapers and journal articles, annual reports, internet and books. The data required for this study was completely dependent on the published data sources, such as the published sources listed above. 3.2 Sample Size A sample of 44 firms from KSE 100 Index was selected and in addition, out of these firms 22 firms were bankrupt and the remaining 22 were not bankrupt which was taken as the holdout sample for the prediction of the corporate bankruptcy. Only firms were used in the samples which were either became bankrupt due to the impact of the some of the financial factors or the ratios or the firms which were in operations during the research study was conducted and these firms were listed on the KSE 100 Index form 2004-2009. The impact of the different financial factors or ratios, which were listed in the previous chapters, on the prediction of corporate bankruptcy was analyzed on all of the firms selected as the sample. 3.3 Research Model Developed There are various financial factors or the ratios of the firms which affected the prediction of the corporate bankruptcy of the firms. This research study analyzed the impact of different factors or ratios already listed in the previous chapters on the prediction of corporate bankruptcy. The model developed was a binary logistic model and its specifications are provided below: Liquidity = a0 + a1Firm Size + a2DEBT + a3LTD + a4LSALES + a5OI/S + a6OI/TA+ a7IGP/TA+ a8Market to Book Ratio + ц where: Liquidity = the sum of cash and marketable securities divided by total assets Firm Size = natural log of the book value of total assets DEBT = the ratio of shorter period plus longer period debt to total assets LTD = the ratio of longer period debt to total assets LSALES = natural log of the annual sales OI/S = the ratio of operating income to sales OI/TA = the ratio of operating income to total sales IGP/TA = the inventory plus gross fixed assets to total assets ratio à Ã¢â‚¬Å¾ = the error term 3.4 Statistical Technique Binary Logistic Regression Analysis technique was used for this research study to examine the impact of the distinctive financial characteristics or the financial ratios of the firms on the prediction of corporate bankruptcy of the selected firms; Statistical Package for the Social Sciences (SPSS) was used for the examination of the secondary data. Binary Logistic Regression Analysis technique was used for the purpose of prediction of of corporate bankruptcy or the prediction of the firms decisions to file for bankruptcy. The selected technique was used to study the impact of the different independent variables (financial factors as listed in the previous chapters) on the dependent variable i.e., prediction of corporate bankruptcy. The binary logistic regression analysis was selected for this study. It showed the intensity of the impact on the prediction of corporate bankruptcy during year 2004-2009 on the basis of several independent variables. CHAPTER 4: RESULTS The sample of 44 firms from the Karachi Stock Exchange KSE 100 Index was taken; Binary Logistic Regression Analysis technique was used for this research study. Research examined the distinctive financial characteristics or financial ratios of firms which filed for the bankruptcy. The selected technique was used to study the impact of the different independent variables (financial factors as listed in the previous chapters) on the dependent variable i.e., the prediction of corporate bankruptcy. Statistical Package for the Social Sciences (SPSS) was used for the analysis and examination of data. 4.1 Findings and Interpretation of the results Initially, the binary logistic regression technique was applied on the data collected using SPSS. Now, it was a nice time to proceed with the analysis of the results because the data was collected and ready to be examined. The interpretation and analysis is presented in the next sections of this research study. Case Processing Summary Unweighted Casesa N Percent Selected Cases Included in Analysis 192 91.4 Missing Cases 18 8.6 Total 210 100.0 Unselected Cases 0 .0 Total 210 100.0 This table explains the total population in the data file that is the 210 observations or the cases for the analysis of the bankruptcy prediction. This table further elaborates that the there were also some of the cases missing in the data because of the issue of data availability and some of the cases were the figures of zero. Dependent Variable Encoding Original Value Internal Value Bankrupt 0 Non-Bankrupt 1 The above table shows that there are only two variables in the dependent variable of bankruptcy that are the being bankrupt or non-bankrupt. Model Summary Step -2 Log likelihood Cox Snell R Square Nagelkerke R Square 1 234.707a .144 .192 This table elaborates the predictability of the complete model of the logistic regression which meant that to what extent the model predict the variation in the predicted group of bankruptcy. According to Cox Snell, the total predictors jointly explained variation in the groups of bankruptcy was 14.4%. While according to Nagelkirki, the all independent variable explained the group prediction of about 19.2%. Hosmer and Lemeshow Test Step Chi-square df Sig. 1 32.715 8 .000 This table checks the overall model fit which means that the model is at its best in predicting the group variation from non-bankrupt to bankrupt. The hypothesis of the above table is that the test model is fit. The hypothesis is rejected because the sig value is less than .05 which concluded that the test model was not fit in this case of predicting the group variation. Classification Tablea Observed Predicted Banckruptcy Percentage Correct Bankrupt Non-Bankrupt Step 1 Banckruptcy Bankrupt 76 29 72.4 Non-Bankrupt 43 44 50.6 Overall Percentage 62.5 The classification table is the most important table in case of the logistic regression because this table explained the correct identification of the cases correctly identified. The percentage of correctly identified cases is 62.5% which is also commonly known as the hit ratio which means that to what extent the numbers of cases were correctly identified. Variables in the Equation B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Step 1a DA -1.219 .510 5.725 1 .017 .295 .109 .802 AtoLTD -.002 .001 1.583 1 .208 .998 .996 1.001 CR .938 .348 7.242 1 .007 2.554 1.290 5.056 NPM .037 .073 .262 1 .609 1.038 .899 1.198 SG .161 .232 .482 1 .488 1.175 .745 1.852 Constant .066 .579 .013 1 .910 1.068 This is the final most important table in the logistic regression because this is the only table which shows the role of different predictors in significantly explaining the role in the prediction of group variations. Those important significant variables were only two that were DA, and CR because the sig value of only these variables were less than .05. 4.2 Hypotheses Assessment Summary The hypothesis of the study was distinctive financial ratios have significant impact on the non firms decision to file for bankruptcy. These financial characteristics were current ratio (CR), debt ratio (DA), net profit margin (NPM), assets to long term debt ratio, and growth rate. In this study each of the financial characteristics or financial ratios of firms was tested and concluded the results. TABLE 4.4 : Hypotheses Assessment Summary S.NO. Hypotheses ÃŽÂ ²       SIG. RESULT H1 There is a difference between the Current ratio of bankrupted companies and non bankrupted companies. 0.938 0.007 Accepted H2 There is a difference between the Debt Ratio of bankrupted companies and non bankrupted companies. -1.219 0.017 Accepted H3 There is a difference between the Net Profit Margin Ratio of bankrupted companies and non bankrupted companies. 0.037 0.609 Rejected H4 There is a difference between the Assets to long term debt ratio of bankrupted companies and non bankrupted companies. -0.002 0.208 Rejected H5 There is a difference between the Growth rate of bankrupted companies and non bankrupted companies. 0.161 0.488 Rejected CHAPTER 5: DISCUSSIONS, CONCLUSION, IMPLICATIONS AND FUTURE RESEARCH 5.1 Conclusion It was concluded based on the results of this research study that current ratio and debt ratio were only the independent variables which were showing significance in Pakistani market and these variables were highly significant in playing the vital role explaining the variation in the dependent variable of the prediction of corporate bankruptcy and the remaining independent variables could not explain the variation in the prediction of corporate bankruptcy. These results were not matching with the study conducted by Altman (1968). These results were varying because in various countries, there was difference in environments and circumstances and firms usually made decision accordingly. 5.2 Discussions Current ratio played a significant role in defining the variation in the prediction of corporate bankruptcy and this was also the case with the research study conducted by Altman (1968) because in his study the firm size was also playing a significant role. The variation in the prediction of corporate bankruptcy was not explained by the net profit margin ratio while it was significant in the study done by Altman (1968). The assets to long term debt ratio, and growth rate were not significantly explaining the variation in the prediction of corporate bankruptcy and study analyzed by Altman (1968), concluded the different results with some addition. 5.3 Implications and Recommendations This research was limited to the various firms listed on Karachi Stock Exchange of Pakistan only. The data taken from 44 firms which were took through various sectors of the KSE 100 Index for the year 2004-09 which were previously bankrupt and which were currently operating. It suggested that such type of study should be carried out in other countries of Asia as well, as to have comprehensive idea about the choices of the firms decision to file for bankruptcy. Moreover, it also suggested that other factors except ones examined in this study should be researched as to have perfect idea about the selection of the prediction of corporate bankruptcy. Besides that, this study can also be replicated in other developing countries. 5.4 Future Research This study helped various investors, management and other research conductors in analyzing and observing the behavior of firms regarding their decisions to file for the bankruptcy. Research students who want to work further on the prediction of bankruptcy can be benefited by this research study. Further more, the firms will become advantageous from this study because the study clarifies the distinctive financial characteristics or the financial ratios of different firms which significantly explain the variations in the prediction of corporate bankruptcy. Study on the Prediction of Corporate Bankruptcy Study on the Prediction of Corporate Bankruptcy CHAPTER 1: A number of researches have been carried on the prediction of bankruptcy; formal studies linked with failure of business were conducted in 1930s. A study conducted by Simth and Winakor (1935) said that ratios of the failing firms were significantly changed from the continuing firms. In addition to that another study was related to the financial ratio of large size corporation that suffered in meeting fixed liability (Hickman 1958). Recent studies took potential ratios given in annual financial statements like profitability, solvency, and liquidity ratios considered as the most predictive indicator and these ratios were matched with failed and well worth firms for analysis. A group of financial and economic ratios were examined in the prediction of bankruptcy through multiple discriminant statistical technique, highest contributor ratios were profitability, operational profit/ total assets and very low contributor ratio was working capital/Assets (Altman, 1968). According to Pastena and Ruland (1968), the bankruptcy was defined in the literature review in various ways. Among those one was in a condition of negative worth where the market value of assets was less than the total value of liabilities. And the other was that the firm was not in a condition to pay back its liabilities as it became due. This term could also be used in a legal condition under which the firms continued to operate under court protection. 1.2 Problem Statement In the corporate finance, the prediction of corporate bankruptcy was considered to be one of the most important issues. The main objective behind the study of the prediction of corporate bankruptcy was that this was the most important issue for the present firms to either file for the bankruptcy or not. The rationale of the study was to examine whether the financial ratios given in detail by Altman (1968) presented the detail regarding the factors of the firm which were helpful in the prediction of corporate bankruptcy in Pakistan. The capacity of study was to investigate the distinctive financial ratios which impacted the firms decisions to file for the bankruptcy or not and on the basis of firms financial ratios, the research study found the different significant ratios which were useful in determining the prediction of any of the organization. 1.3 Hypotheses The main problem of the different firms was to identify those financial factors or the most important ratios which could lead to the filing of bankruptcy or those factors which were useful in determining the prediction of the corporate firms. A central query in front of firms which wanted to file for bankruptcy was why the firms filed for bankruptcy or what financial factors helped out in taking decision to file for bankruptcy. Various financial factors or ratios impacted the decision regarding the filing for bankruptcy. These financial characteristics or the most important ratios were current ratio, debt ratio, net profit margin, assets to long term debt ratio, and growth rate. Many authors as Altman (1968) discussed these characteristics in research. The hypothesized relationship of these listed financial factors with bankruptcy was provided below: H1: There is a difference between the Current ratio of bankrupted companies and non bankrupted companies. H2: There is a difference between the Debt ratio of bankrupted companies and non bankrupted companies. H3: There is a difference between the Net Profit Margin ratio of bankrupted companies and non bankrupted companies. H4: There is a difference between the Assets to long term debt ratio of bankrupted companies and non bankrupted companies. H5: There is a difference between the Growth rate of bankrupted companies and non bankrupted companies. 1.4 Outline of the Study The research structured as follows. Chapter one based on the introduction of the thesis, which consists of the some introduction of the prediction of bankruptcy by different authors, the statement of problem, scope and objectives, hypothesis etc. Chapter two consists of literature review given by different authors, theories on prediction of bankruptcy and financial factors affecting the choice of decision to file for bankruptcy or not. Chapter three described methodology which is composed of justification of the selection of the variables utilized in analysis sample, the data, technique and hypothesis, also estimate model utilized in analysis. In chapter four, analyses of the results were there which were taken after the data processing. Chapter five contained the final results, conclusions and recommendations. References are included in chapter number six. CHAPTER 2: LITERATURE REVIEW A number of researches have been carried on the prediction of bankruptcy; formal studies linked with failure of business were conducted in 1930s. A study conducted by Simth and winakor (1935) said that ratios of the failing firms were significantly change from the continuing firms. In addition to that an other study was related to the financial ratio of large size corporation that suffered in meeting fixed liability (Hickman 1958). Recent studies took potential ratios given in annual financial statements like profitability, solvency, and liquidity ratios considered as the most predictive indicator and these ratios were matched with failed and well worth firms for analysis. A group of financial and economic ratios were examined in the prediction of bankruptcy through multiple discriminant statistical technique, highest contributor ratios were profitability, operational profit/ total assets and very low contributor ratio was working capital/Assets (Altman, 1968). A study conducted by Sandin and Porporato (2007) on corporate bankruptcy prediction model applied to emerging economies. The aim of this study was to find the predictability of bankruptcy by using the financial ratios given in the financial statements and these financial statements were taken from the Buenos Aires Stock Exchange. To test the hypothesis twenty two bankrupt and non bankrupt companies were examined by using the multiple discriminant analysis technique, resulted that financial ratios were very useful in predicting the bankruptcy. Actually this study was about the prediction model and classification of the distressed and failed companies in the Argentina. William Beaver (1996) conducted a study that Financial Ratios As Predictor of Failure, wherein ratios were tested for a specific purpose. The purpose was to forecast the failure. Since ratios were mostly examined for the prediction of failure. The aim of the study was to analyze the status quo that was depended on the financial statements made under the reporting standard and this study was conducted as a bench mark for further studies in bankruptcy area. Sample of data was selected on the basis of industry, firm size and period, Walworth companies should have taken from the same industry where from failed companies taken along with same firm size based on firm value and equal time duration then reliable result can be obtained said by Beaver (1996). This study pointed out and directed to the asset size and relationship among ratios, assets size and failure, study implicated that larger firms were more solvent than smaller firms, even if ratios were same. To examine the hypothesis, a paired analysis was used. According to Pastena and Ruland (1968), the bankruptcy was defined in the literature review in various ways. Among those one was in a condition of negative worth where the market value of assets was less than the total value of liabilities. And the other was that the firm was not in a condition to pay back its liabilities as it became due. This term could also be used in a legal condition under which the firms continued to operate under court protection. Merger and Bankruptcy Based on the literature review in the different research studies, it was found that the shareholders of the distressed firms were getting more benefit from mergers than from the bankruptcy. Thus, the investors kept the positive number of the firms stocks up as a consequence of the merger. Contrastingly, the stakeholders received nothing in case of the bankruptcy. Shrieves and Stevens (1979) managed to explain all of the possible reasons for preferring merger over bankruptcy and those principles included: (1) to avoid the bankruptcy legal and administrative costs, (2) possible loss of tax carry forwards of the loss firm incurred on liquidation, (3) the value of the going-concern in the merger was more than liquidation value if the firm bankruptcy progressed towards the liquidation, and (4) the bankruptcy created the bad effects on the revenues including sales and income due to the customer fears of inability contracts, give replacement parts, etc. Bulow and Shoven (1978) noticed based on the research that the investors have always been avoiding the bankruptcy and this tendency always benefitted the creditors as a whole and that theoretically, the bankruptcy occurred because of the disagreement between the concerned parties. This was treated in a literature that the merger was the best possible alternate of the bankruptcy with the assumption in the mind that it was more easy for the distressed firms to find a merger partner at some price as long as the net asset value was positive and this was also under the assumption of a well-functioning market for information. When the situation was aggravated toward a condition of less or negative net asset value, the possibility of merger was reduced. Hong (1983) made an empirical as well as theoretical model which distinguished among three different categories of financially upset firms and it was organized in three ways such as: firms which filed bankruptcy but reorganized successfully, firms which filed for bankruptcy but were liquidated ultimately, and also the firms which continued operations with out even filing for bankruptcy. Author further made a hypothesis that the intangible assets, the value of the firm as in a going concern and the value of the same firm in liquidation was different, were the main describing factor which affected the eventual outcome. The firms which had greater intangible assets were possibly having a sustainable economic growth and that growth allowed a firm to survive rather than be liquidated. LoPucki (1983) made an explanatory study of about 41 firms which filed the bankruptcy court of the Western District of Missouri. In this study, the à ¢Ã¢â€š ¬Ã…“successesà ¢Ã¢â€š ¬? were defined as the firms which have verified its various reorganization strategies that kept it on to survive for about three years after the date of petitioning the bankruptcy. Failures according to the author were those firms which had stopped operating functions before February 1983. LoPucki (1983) further could not try to make a method with discriminatory power, but in fact simply scrutinized the associations between the results of reorganization process and numerous individual variables. These individual variables included size, age, and type of the businesses, the survival of creditors opposition to the reorganization strategy, and physical geographic location. The relationships which were found during the research were: significantly higher success rate was associated with the manufacturing fi rms; more successful firms were only the larger firms; success was not significantly associated with the age of the firms; the target opposition of the creditors was mainly at the more successful firms; and lastly, the physical geographical location was not a significant describing variable. In short, only a finite amount of research was conducted on the topic of differentiating between failures and successes in bankruptcy, and outcomes have been open to doubts or inconclusive. The one published study conducted by the LoPucki (1983), scrutinized the first order correlations and could not struggle to build the model of classification. The other published research study conducted by Hong (1983), scrutinized the comparative importance of numerous individual variables and had not analyzed the classification authentication of the multivariate model. As it was already discussed in detail, this present study scrutinized the classification authentication of the multivariate model by using data from both analysis sample and a holdout sample 113 firms. Bordman, Bartley, and Ratliff (1981) noticed that firms went bankrupt only when its capital resources were not enough to pay back the obligations of the business. Thus it became the more important challenge for the new comers in the industry to maintain and establish such valuable resources and capabilities which could ultimately leaded to the production of positive cash flows before starting asset resources were exhausted (Levinthal, 1991). According to DAveni (1989), and Hambrick and DAveni (1988), both researches have noticed that most of the attention has been paid to the early failures and dramatic research has also been conducted in the literature. A macro view of the bankruptcy was given as a known strategy and an empirical examination of factors associated to successful reorganization (Moultan, and Thomas, 1993) and however, the structures of corporate governance were not incorporated in the analysis. An extensive data was available relating the intensity to which the officers and directors of the firm which was bankrupt were more possibly resigning or were being replaced (DAveni, 1990; Fizel Louie, 1990; Gilson, 1989). Several researchers used the multiple discriminant analysis MDA technique to develop a linear model to predict those firms which failed could be differentiated from the non-failed firms in UK (Taffler, 1977). This model resulted in an overall classification authentication for the year before the failure as comparative to three or two prior years of failure. The major contribution made by Taffler was the establishment of a Z-score model which was used for the prediction of company failures in the UK and furthermore, the author claimed of 100 percent predictive authentication in the model. In addition, in the consequent studies, Taffler (1982, 1983) discussed the pairing technique which was used in the prediction of corporate failure studies proved no more successful technique than any selection by the other tool or technique. Multiple Discriminant Analysis MDA models were dependable to certain intensity in the prediction of corporate failure. CHAPTER 3: RESEARCH METHODS 3.1 Method of Data Collection Data was selected from Karachi Stock Exchange KSE 100 Index as given by State Bank of Pakistan in publication Balance Sheet Analysis of Joint Stock Companies Listed on the KSE (2004-2009). The period of study covers six years, 2004-09. The opted sample size of 44 firms was taken from KSE 100 Index and all of the firms listed on KSE 100 Index were selected for the samples which were going to bankruptcy in the past and some were also the present functioning firms which were currently working; so, only 44 firms included in the sample period of 2004-09. The objective behind the inclusion of these selected firms in the sample was that the inclusion of bankrupt and non-bankrupt firms in the analysis made it easier to distinguish the critical financial ratios of these both firms in order to predict for corporate bankruptcy. The data availability was the major issue faced in this research study. The secondary data sources were adopted for the collection of the data during this research study. Both of the empirical and theoretical aspects regarding the prediction of corporate bankruptcy were analyzed in this research study. For the purpose of the collection of the secondary data, external data sources were used, such as the data was collected from State Bank of Pakistan, general business publications, newspapers and journal articles, annual reports, internet and books. The data required for this study was completely dependent on the published data sources, such as the published sources listed above. 3.2 Sample Size A sample of 44 firms from KSE 100 Index was selected and in addition, out of these firms 22 firms were bankrupt and the remaining 22 were not bankrupt which was taken as the holdout sample for the prediction of the corporate bankruptcy. Only firms were used in the samples which were either became bankrupt due to the impact of the some of the financial factors or the ratios or the firms which were in operations during the research study was conducted and these firms were listed on the KSE 100 Index form 2004-2009. The impact of the different financial factors or ratios, which were listed in the previous chapters, on the prediction of corporate bankruptcy was analyzed on all of the firms selected as the sample. 3.3 Research Model Developed There are various financial factors or the ratios of the firms which affected the prediction of the corporate bankruptcy of the firms. This research study analyzed the impact of different factors or ratios already listed in the previous chapters on the prediction of corporate bankruptcy. The model developed was a binary logistic model and its specifications are provided below: Liquidity = a0 + a1Firm Size + a2DEBT + a3LTD + a4LSALES + a5OI/S + a6OI/TA+ a7IGP/TA+ a8Market to Book Ratio + ц where: Liquidity = the sum of cash and marketable securities divided by total assets Firm Size = natural log of the book value of total assets DEBT = the ratio of shorter period plus longer period debt to total assets LTD = the ratio of longer period debt to total assets LSALES = natural log of the annual sales OI/S = the ratio of operating income to sales OI/TA = the ratio of operating income to total sales IGP/TA = the inventory plus gross fixed assets to total assets ratio à Ã¢â‚¬Å¾ = the error term 3.4 Statistical Technique Binary Logistic Regression Analysis technique was used for this research study to examine the impact of the distinctive financial characteristics or the financial ratios of the firms on the prediction of corporate bankruptcy of the selected firms; Statistical Package for the Social Sciences (SPSS) was used for the examination of the secondary data. Binary Logistic Regression Analysis technique was used for the purpose of prediction of of corporate bankruptcy or the prediction of the firms decisions to file for bankruptcy. The selected technique was used to study the impact of the different independent variables (financial factors as listed in the previous chapters) on the dependent variable i.e., prediction of corporate bankruptcy. The binary logistic regression analysis was selected for this study. It showed the intensity of the impact on the prediction of corporate bankruptcy during year 2004-2009 on the basis of several independent variables. CHAPTER 4: RESULTS The sample of 44 firms from the Karachi Stock Exchange KSE 100 Index was taken; Binary Logistic Regression Analysis technique was used for this research study. Research examined the distinctive financial characteristics or financial ratios of firms which filed for the bankruptcy. The selected technique was used to study the impact of the different independent variables (financial factors as listed in the previous chapters) on the dependent variable i.e., the prediction of corporate bankruptcy. Statistical Package for the Social Sciences (SPSS) was used for the analysis and examination of data. 4.1 Findings and Interpretation of the results Initially, the binary logistic regression technique was applied on the data collected using SPSS. Now, it was a nice time to proceed with the analysis of the results because the data was collected and ready to be examined. The interpretation and analysis is presented in the next sections of this research study. Case Processing Summary Unweighted Casesa N Percent Selected Cases Included in Analysis 192 91.4 Missing Cases 18 8.6 Total 210 100.0 Unselected Cases 0 .0 Total 210 100.0 This table explains the total population in the data file that is the 210 observations or the cases for the analysis of the bankruptcy prediction. This table further elaborates that the there were also some of the cases missing in the data because of the issue of data availability and some of the cases were the figures of zero. Dependent Variable Encoding Original Value Internal Value Bankrupt 0 Non-Bankrupt 1 The above table shows that there are only two variables in the dependent variable of bankruptcy that are the being bankrupt or non-bankrupt. Model Summary Step -2 Log likelihood Cox Snell R Square Nagelkerke R Square 1 234.707a .144 .192 This table elaborates the predictability of the complete model of the logistic regression which meant that to what extent the model predict the variation in the predicted group of bankruptcy. According to Cox Snell, the total predictors jointly explained variation in the groups of bankruptcy was 14.4%. While according to Nagelkirki, the all independent variable explained the group prediction of about 19.2%. Hosmer and Lemeshow Test Step Chi-square df Sig. 1 32.715 8 .000 This table checks the overall model fit which means that the model is at its best in predicting the group variation from non-bankrupt to bankrupt. The hypothesis of the above table is that the test model is fit. The hypothesis is rejected because the sig value is less than .05 which concluded that the test model was not fit in this case of predicting the group variation. Classification Tablea Observed Predicted Banckruptcy Percentage Correct Bankrupt Non-Bankrupt Step 1 Banckruptcy Bankrupt 76 29 72.4 Non-Bankrupt 43 44 50.6 Overall Percentage 62.5 The classification table is the most important table in case of the logistic regression because this table explained the correct identification of the cases correctly identified. The percentage of correctly identified cases is 62.5% which is also commonly known as the hit ratio which means that to what extent the numbers of cases were correctly identified. Variables in the Equation B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Step 1a DA -1.219 .510 5.725 1 .017 .295 .109 .802 AtoLTD -.002 .001 1.583 1 .208 .998 .996 1.001 CR .938 .348 7.242 1 .007 2.554 1.290 5.056 NPM .037 .073 .262 1 .609 1.038 .899 1.198 SG .161 .232 .482 1 .488 1.175 .745 1.852 Constant .066 .579 .013 1 .910 1.068 This is the final most important table in the logistic regression because this is the only table which shows the role of different predictors in significantly explaining the role in the prediction of group variations. Those important significant variables were only two that were DA, and CR because the sig value of only these variables were less than .05. 4.2 Hypotheses Assessment Summary The hypothesis of the study was distinctive financial ratios have significant impact on the non firms decision to file for bankruptcy. These financial characteristics were current ratio (CR), debt ratio (DA), net profit margin (NPM), assets to long term debt ratio, and growth rate. In this study each of the financial characteristics or financial ratios of firms was tested and concluded the results. TABLE 4.4 : Hypotheses Assessment Summary S.NO. Hypotheses ÃŽÂ ²       SIG. RESULT H1 There is a difference between the Current ratio of bankrupted companies and non bankrupted companies. 0.938 0.007 Accepted H2 There is a difference between the Debt Ratio of bankrupted companies and non bankrupted companies. -1.219 0.017 Accepted H3 There is a difference between the Net Profit Margin Ratio of bankrupted companies and non bankrupted companies. 0.037 0.609 Rejected H4 There is a difference between the Assets to long term debt ratio of bankrupted companies and non bankrupted companies. -0.002 0.208 Rejected H5 There is a difference between the Growth rate of bankrupted companies and non bankrupted companies. 0.161 0.488 Rejected CHAPTER 5: DISCUSSIONS, CONCLUSION, IMPLICATIONS AND FUTURE RESEARCH 5.1 Conclusion It was concluded based on the results of this research study that current ratio and debt ratio were only the independent variables which were showing significance in Pakistani market and these variables were highly significant in playing the vital role explaining the variation in the dependent variable of the prediction of corporate bankruptcy and the remaining independent variables could not explain the variation in the prediction of corporate bankruptcy. These results were not matching with the study conducted by Altman (1968). These results were varying because in various countries, there was difference in environments and circumstances and firms usually made decision accordingly. 5.2 Discussions Current ratio played a significant role in defining the variation in the prediction of corporate bankruptcy and this was also the case with the research study conducted by Altman (1968) because in his study the firm size was also playing a significant role. The variation in the prediction of corporate bankruptcy was not explained by the net profit margin ratio while it was significant in the study done by Altman (1968). The assets to long term debt ratio, and growth rate were not significantly explaining the variation in the prediction of corporate bankruptcy and study analyzed by Altman (1968), concluded the different results with some addition. 5.3 Implications and Recommendations This research was limited to the various firms listed on Karachi Stock Exchange of Pakistan only. The data taken from 44 firms which were took through various sectors of the KSE 100 Index for the year 2004-09 which were previously bankrupt and which were currently operating. It suggested that such type of study should be carried out in other countries of Asia as well, as to have comprehensive idea about the choices of the firms decision to file for bankruptcy. Moreover, it also suggested that other factors except ones examined in this study should be researched as to have perfect idea about the selection of the prediction of corporate bankruptcy. Besides that, this study can also be replicated in other developing countries. 5.4 Future Research This study helped various investors, management and other research conductors in analyzing and observing the behavior of firms regarding their decisions to file for the bankruptcy. Research students who want to work further on the prediction of bankruptcy can be benefited by this research study. Further more, the firms will become advantageous from this study because the study clarifies the distinctive financial characteristics or the financial ratios of different firms which significantly explain the variations in the prediction of corporate bankruptcy.