Predicting financial failure using criteria based on the cash flow statement

Number of pages: 86 File Format: word File Code: 29794
Year: 2016 University Degree: Master's degree Category: Librarianship
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    Masters in Accounting (M.A)

    Abstract

    The explosive growth of the world's financial markets has created competition between investment institutions and in order to achieve better investment results, investment agencies must make predictions about their decisions, including the most important issue in financial management. The industry and financial performance of the company is aimed at discovering the strengths and weaknesses of past activities and using them to make decisions about future activities. Therefore, all stakeholders are always very careful about the methods of predicting the company's financial bankruptcy. One of these methods is the use of bankruptcy prediction models.

    In this research, the bankruptcy prediction of companies admitted to the Tehran Stock Exchange during the years 1389 to 1391 was investigated for three years using the cash flow statement.

    Bankruptcy prediction models are one of the techniques and tools for predicting the state of companies that estimate the probability of bankruptcy by combining a group of financial ratios.

    In this research, we try to use the accounting information in the financial statements and the information in the cash flow statement to predict the probability of bankruptcy of companies in financial crisis using financial variables and the variables and ratios that can determine the bankruptcy status of companies. 1. Introduction: Financial statements are the main product of financial reporting and the main means of transferring accounting information to people outside the organization. The cash flow statement is designed to reflect the impact of operational activities, investment, and financing on the cash account during a financial period. From the point of view of financial statement analysis, the cash flow statement is very important to complete the analysis of ratios.

    The old and traditional methods of evaluating customers are mostly subjective and rely on the perspective of the person responsible for paying the loan, which indicates the judgmental nature of the credit system. In order to achieve the model of bankruptcy prediction and credit risk management, we need a little information. The motivation of the researcher is to accurately identify the effective factors to make this prediction so that credit decisions can be made more accurately and fairly using the customers' credit and report the most reliable and least risky among the applicants for the facilities, so that ultimately it will reduce the outstanding claims of the banks, which is currently one of the problems of the banking system and the mental concerns of most officials.

    Prediction Bankruptcy has become one of the most important research topics after Beaver Waltman applied the methodology of financial ratios in bankruptcy prediction, because the global economy has been experiencing severe challenges during the past decades, and now the global economy is in a severe crisis. The majority of companies, big and small, are facing bankruptcy filing problems, therefore, bankruptcy predictions have received a lot of attention from researchers and professionals with the aim of creating timely signals for Better investment and government decisions have attracted many different useful methods, which we call bankruptcy prediction models, have been developed by researchers in order to solve the problems created during the evaluation process.

    Research related to bankruptcy prediction has taken a serious form since 1960 AD, so that today we see the existence of many and varied bottlenecks for bankruptcy prediction. Their profitability is before the credit institutions respond to the company's loan request, they must predict the possibility of bankruptcy of the company in question, therefore correct and timely prediction of bankruptcy has an important impact on the operation and continuity of credit institutions.

    Investors and creditors have a great desire to predict the financial bankruptcy of companies because in the event of bankruptcy they will bear the highest costs, therefore predicting the financial bankruptcy of companies is a very important issue in making a wrong decision and can have important consequences such as bottlenecks and financial crises. In general, it can be said that it is very important for all users of financial statements to be aware of this prediction. Time influences the decisions of decision makers. From the managerial point of view, financial bankruptcy forecasting tools make it possible to take timely strategic measures and avoid bankruptcy. When predicting bankruptcy, it is important for investors and creditors to be able to identify companies in crisis and those companies that go bankrupt and those that do not go bankrupt. Let's talk about the bankruptcy forecasting models that have the ability to predict the probability of bankruptcy of companies in financial crisis using financial variables. In most cases, several reasons together lead to the phenomenon of bankruptcy. But according to Dan and Brad Street's research, the main reasons for bankruptcy are financial and economic problems. In some cases, the reasons for bankruptcy are determined by examining financial statements and records. Accountants who have experience in analyzing the financial situation of declining companies can easily identify and determine the reasons for bankruptcy. But sometimes, some issues support proper account circulation in a business unit in a relatively short period of time and hide bankruptcy from the eyes of accountants. External factors include:

    External causes of bankruptcy

    Features of the economic system

    Competition

    Changes in business and improvements and transitions in public demand

    Business fluctuations

    Financing

    Newton (1998) considers the internal factors of bankruptcy of business units as factors that can be Some business units prevented them. Most of these factors are caused by wrong decisions and the responsibility of them should be considered directly by the business unit itself. According to him, these factors include:

    Inefficient management

    Treachery and fraud

    The results of this research are expected to be obtained by relying on the basic financial statements. Economic decisions should be the way forward. 1-2 Statement of the problem Forecasting is a key element in economic decisions and investors, creditors, management and other persons rely on forecasts and expectations for their economic conclusions. In order to predict the issue, in this case, it is possible to propose a model that informs the shareholders and other claimants about the financial crisis in the company. By predicting the collapse of companies, the necessary planning can be done to prevent their bankruptcy. Therefore, this study has identified the best important variables in financial forecasting by comprehensively examining the ratios and financial indicators and using separate models to provide a model to predict the financial crisis in companies admitted to the Tehran Stock Exchange.

    By predicting the financial crisis of companies, the necessary planning can be done to prevent their bankruptcy, so finding methods to predict the financial crisis that happens before bankruptcy has been very important, and accounting information plays a significant role in this field. There are ways to predict bankruptcy.

  • Contents & References of Predicting financial failure using criteria based on the cash flow statement

    List:

    Table of Contents

    Page Title

    Abstract

    Chapter One: Generalities

    1-1 Introduction

    1-2 Statement of the Problem

    1-3 Importance and Necessity of Research

    1-4 Research Objectives:

    1-5 Research Question

    1-6 research hypotheses

    1-7 statistical population and research sample

    1-8 research scope

    1-9 research method

    1-10 users of research results

    1-11- Definitions, concepts and vocabulary of research:

    Chapter Two: Research Literature

    2-1: Introduction

    2-2 Definitions of bankruptcy

    2-3 Stages of bankruptcy

    2-4 Reasons for bankruptcy

    2-5 Theories related to bankruptcy:

    2-6 Current methods of bankruptcy prediction

    2-7 Bankruptcy costs

    2-8 Bankruptcy prediction techniques

    2-9 Theoretical framework

    2-10 Research Background

    2-10-1 External Background

    2-10-2 Internal Background

    2-11-Chapter Summary

    Chapter Three: Research Method

    3-1 Introduction

    3-2 Research Method

    3-2-1 Type of Research

    3-3 Question Research

    3-4 Research Hypotheses

    3-5 Society and Statistical Sample

    3-6 Data Collection Method

    3-7 Research Variables

    3-8 Hypothesis Testing Method

    3-9 Summary and Conclusion

    Chapter Four: Data Analysis

    4-1 Introduction

    4-2 Presenting the model based on logistic regression

    Chapter five: discussion and conclusion

    5-1 Introduction

    5-2 Review of research results

    5-3 Review of research hypotheses

    5-4 Research proposals based on the findings of this research

    5-5 Chapter summary

    List of references

    Source:

    List of references

    Persian sources:

    1-Solimani Amiri Gholamreza- Examining predictors of bankruptcy in Iran's environmental conditions (2001) Doctoral thesis of Tehran University - Faculty of Management

    2- Faghani Narm Mehdi- The relationship between financial ratios and predicting bankruptcy of companies admitted to the stock exchange Tehran (1380) Master's Thesis - Allameh Tabatabai University, Tehran

    3- Soleimani Amiri Gholamreza - Financial Ratios and Forecasting Financial Crisis of Companies in Tehran Stock Exchange (1382) - Faculty of Management, 5th Year - No. 15 - Pages 121-136

    4- Mohammadzadeh Amir-Nofarsti Maryam - Examining the application of Talman and Versh Springgate models in predicting bankruptcy Companies admitted to the Tehran Stock Exchange -(1388)-Number 83

    5-Pourheidari Omid-Kopai Haji Mehdi-Prediction of the financial crisis of companies using a model based on linear discriminant function (1389) Number 1-page 33-46

    6-Khosh Taynet Mohsen-Mohammed Taghi Qasuri-Comparison between combined financial ratios based on cash flow statement and accruals with Financial ratios based solely on accruals in predicting bankruptcy of companies - (2014) - Journal of Accounting Studies - Number 9-page 43-61

    English sources

    7) Altman, E. I., (1968). "Corporate bankruptcy, potential stockholder returns and share valuation," Journal of Finance, 887-900.

    8) Altman E. I., Haldeman, and P. Narayanan (1977); "ZETA analysis: a new model to identify bankruptcy risk of corporations," Journal of Banking and Finance, June.

    9) Altman, E. I., (1982). "Accounting implications of failure prediction models," Journal of Accounting, Auditing and Finance, 6 (1), 4–19.

    10) Altman, E., I. (1983). "Spivack, Predicting bankruptcy: the value line relative financial strength system vs. the zeta bankruptcy classification approach," Financial Analysts Journal 60–67.

    11) Altman, E. I., (1993), "Corporate Financial Distress and Bankruptcy," John Wiley and Sons, New York

    12) Altman, E. I, and P. Arman, (2000), "Defaults and Returns in the High Yield Bond Market,” Journal of Applied Finance, Spring-Summer, pp 98-112.

    13) Aziz, A., and G. H. Lawson. (1988), "Bankruptcy Prediction An Investigation of Cash Flow Based Models," Journal of Management Studies, Vol.25, No.5, PP. 419-435

    14) Aziz, A. and G. H. Lawson. (1989), "Cash Flow(1989), "Cash Flow Reporting And Financial Distress Model: Testing of Hypotheses," Financial Management, Vol.18, No.1, PP. 55-63.

    15) Beaver, W. H., and Kennelly, J. W. (1968) "Predictive Ability as a Criterion for the Evaluation of Accounting Data", The Accounting Review, p.675.

    16) Blum, M. (1974). Falling Company Discrimination Analysis. Journal of Accounting Research. Spring, pp.176-179.

    17) Casey, C. and N. Bartczk. (1985). "Using Operating Cash Flow data to predict Financial Distress; Some Extension," Journal of Accounting Research. Vol23 No.1, pp 383-401.

    18) Fisher R. A. (1936); "The use of multiple measurements in taxonomic problems", Annals of Eugenics, 7.

    19) Gahlon, J. M., and R.L. Vigeland. (1988). "Early warning of Bankruptcy Using Cash Flow Analysis," The Journal of Commercial Bank Lending, pp. 4-15.

    20) Gilbert, L. R., Menon, K. and K. B., Schewartz. (1990), "Predicting Bankruptcy for Firms in Financial Distress," Journal of Business and Accounting, Vol. 17, No. 1, pp. 161-171.

    21) Ohlsan, J. A. (1980), "Financial Ratios and Probabilistic Prediction of Bankruptcy," Journal of Accounting Research, Vol. 18, No.1, pp.109-131.

    22) Taffler, R.J., (1984). Empirical model for the monitoring of UK corporation. Journal of Banking and Finance. Vol.8, pp.199-2270

    23) Viscione, J.A. (1985). Assessing Financial Distress. The Journal of Commercial Bank Lending. pp. 39-55.

Predicting financial failure using criteria based on the cash flow statement