Bankruptcy Prediction
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Bankruptcy Prediction
Bankruptcy prediction is the art of predicting bankruptcy and various measures of financial distress of public firms. It is a vast area of finance and accounting research. The importance of the area is due in part to the relevance for creditors and investors in evaluating the likelihood that a firm may go bankrupt. The quantity of research is also a function of the availability of data: for public firms which went bankrupt or did not, numerous accounting ratios that might indicate danger can be calculated, and numerous other potential explanatory variables are also available. Consequently, the area is well-suited for testing of increasingly sophisticated, data-intensive forecasting approaches. History The history of bankruptcy prediction includes application of numerous statistical tools which gradually became available, and involves deepening appreciation of various pitfalls in early analyses. Research is still published that suffers pitfalls that have been understood for many ...
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Bankruptcy
Bankruptcy is a legal process through which people or other entities who cannot repay debts to creditors may seek relief from some or all of their debts. In most jurisdictions, bankruptcy is imposed by a court order, often initiated by the debtor. Bankrupt is not the only legal status that an insolvent person may have, meaning the term ''bankruptcy'' is not a synonym for insolvency. Etymology The word ''bankruptcy'' is derived from Italian language, Italian , literally meaning . The term is often described as having originated in Renaissance Italy, where there allegedly existed the tradition of smashing a banker's bench if he defaulted on payment. However, the existence of such a ritual is doubted. History In Ancient Greece, bankruptcy did not exist. If a man owed and he could not pay, he and his wife, children or servants were forced into "debt slavery" until the creditor recouped losses through their Manual labour, physical labour. Many city-states in ancient Greece lim ...
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Rule-based System
In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain. Two different kinds of rule-based systems emerged within the field of artificial intelligence in the 1970s: * Production systems, which use ''if-then rules'' to derive ''actions'' from ''conditions''. * Logic programming systems, which use ''conclusion if conditions rules'' to derive ''conclusions'' from ''conditions''. The differences and relationships between these two kinds of rule-based system has been a major source of misunderstanding and confusion. Both kinds of rule-based systems use either forward or backward chaining, in contrast with imperative programs, which execute commands listed sequentially. However, logic programming systems have a logical interpretation, whereas production systems do not. Production system rules A classic example of a production rule-b ...
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Bankruptcy
Bankruptcy is a legal process through which people or other entities who cannot repay debts to creditors may seek relief from some or all of their debts. In most jurisdictions, bankruptcy is imposed by a court order, often initiated by the debtor. Bankrupt is not the only legal status that an insolvent person may have, meaning the term ''bankruptcy'' is not a synonym for insolvency. Etymology The word ''bankruptcy'' is derived from Italian language, Italian , literally meaning . The term is often described as having originated in Renaissance Italy, where there allegedly existed the tradition of smashing a banker's bench if he defaulted on payment. However, the existence of such a ritual is doubted. History In Ancient Greece, bankruptcy did not exist. If a man owed and he could not pay, he and his wife, children or servants were forced into "debt slavery" until the creditor recouped losses through their Manual labour, physical labour. Many city-states in ancient Greece lim ...
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British Accounting Review
The ''British Accounting Review'' is an academic journal of the British Accounting and Finance Association that was established in 1969. Serving its purpose to educate and connect users, the ''British Accounting Review'' helps uphold the mission of the British Accounting and Finance Association. Even though the journal was founded in the UK, the academic journal accepts UK and non-UK sourced research, reflecting the multinational users of the academic journal. Besides the British Accounting and Finance Association, creditable accounting agencies, like the American Accounting Association, use the ''British Accounting Review''. The journal is freely accessible and can include anything relating to the widespread areas of accounting or finance, such as financial & management accounting, auditing, finance and financial management, taxation, AIS, Fintech, green finance, public sector accounting, sustainability reporting, and accounting history. Some of the most cited articles from the ac ...
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Journal Of Finance
''The Journal of Finance'' is a peer-reviewed academic journal published by Wiley-Blackwell on behalf of the American Finance Association. It was established in 1946. The editor-in-chief is Antoinette Schoar. According to the ''Journal Citation Reports'', the journal has a 2021 impact factor of 7.870, ranking it 6th out of 111 journals in the category "Business, Finance" and 16th out of 381 journals in the category "Economics". Editors The editorial board consists of the editor, co-editors, and associate editors. The current editor is Antoinette Schoar (MIT). The following persons are or have been editor-in-chief of the journal: Awards Each year the associate editors vote for the best papers published in the journal. The Smith Breeden Prize is awarded for the best finance papers and the Brattle Prize for the best corporate finance Corporate finance is an area of finance that deals with the sources of funding, and the capital structure of businesses, the actions that managers ...
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Journal Of Accounting Research
The ''Journal of Accounting Research'' (''JAR'') is a leading peer-reviewed academic journal associated with the University of Chicago. It was established in 1963 and is published by Wiley-Blackwell on behalf of the Chookaszian Accounting Research Center (Formerly the Institute of Professional Accounting) at the University of Chicago Booth School of Business. JAR publishes original research in all areas of accounting and topics including finance, economics, statistics, psychology, and sociology. Research typically uses analytical, empirical archival, experimental, or field study methods. Questions pertain to information and measurement used in organizations, markets, governments, regulation and standards; often arising in financial reporting, disclosure, internal accounting, auditing, taxation, corporate governance, capital markets, law, contracting, and with respect to the accounting profession. Its current senior editors are Philip G. Berger, Luzi Hail, Christian Leuz, Valeri Ni ...
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FitzPatrick 1932
FitzPatrick 1932 is an early paper in the field of bankruptcy prediction. In a series of three articles in the monthly ''The Certified Public Accountant'' in 1932, Paul J. FitzPatrick presented data for 20 matched pairs of firms and discussed accounting ratios as indicators of bankruptcy. It is historically significant as an early attempt in this field, and it is notable also for its publishing a data set, now in the public domain. Beaver (1968), an important paper in accounting research which employs statistical analysis to a similar matched sample, cites the paper. The dataset includes 13 accounting ratios calculated for 40 firms for each of three years. However some fields are missing for some firm-year observations. Sample selection Example data References FitzPatrick, Paul J., Ph.D. 1932. "A Comparison of the Ratios of Successful Industrial Enterprises With Those of Failed Companies". ''The Certified Public Accountant'' Beaver 1968. ''Journal of Accounting Researc ...
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Cross-validation (statistics)
Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how the results of a statistics, statistical analysis will Generalization error, generalize to an independent data set. Cross-validation includes Resampling (statistics), resampling and sample splitting methods that use different portions of the data to test and train a model on different iterations. It is often used in settings where the goal is prediction, and one wants to estimate how accuracy, accurately a predictive modelling, predictive model will perform in practice. It can also be used to assess the quality of a fitted model and the stability of its parameters. In a prediction problem, a model is usually given a dataset of ''known data'' on which training is run (''training dataset''), and a dataset of ''unknown data'' (or ''first seen'' data) against which the model is tested (called the validation set, validation dataset o ...
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Ant Colony Algorithm
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs. Artificial ants represent multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is often the predominant paradigm used. Combinations of artificial ants and local search algorithms have become a preferred method for numerous optimization tasks involving some sort of graph, e.g., vehicle routing and internet routing. As an example, ant colony optimization is a class of optimization algorithms modeled on the actions of an ant colony. Artificial 'ants' (e.g. simulation agents) locate optimal solutions by moving through a parameter space representing all possible solutions. Real ants lay down pheromones to direct each other to resources while exploring their environment. The simulated 'ants' similarly record their p ...
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Forward Selection
In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a forward, backward, or combined sequence of ''F''-tests or ''t''-tests. The frequent practice of fitting the final selected model followed by reporting estimates and confidence intervals without adjusting them to take the model building process into account has led to calls to stop using stepwise model building altogetherFlom, P. L. and Cassell, D. L. (2007) "Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use," NESUG 2007. or to at least make sure model uncertainty is correctly reflected by using prespecified, automatic criteria together with more complex standard error estimates that remain unbiased.C ...
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Logit Regression
In statistics, the logit ( ) function is the quantile function associated with the standard logistic distribution. It has many uses in data analysis and machine learning, especially in data transformations. Mathematically, the logit is the inverse of the standard logistic function \sigma(x) = 1/(1+e^), so the logit is defined as : \operatorname p = \sigma^(p) = \ln \frac \quad \text \quad p \in (0,1). Because of this, the logit is also called the log-odds since it is equal to the logarithm of the odds \frac where is a probability. Thus, the logit is a type of function that maps probability values from (0, 1) to real numbers in (-\infty, +\infty), akin to the probit function. Definition If is a probability, then is the corresponding odds; the of the probability is the logarithm of the odds, i.e.: : \operatorname(p)=\ln\left( \frac \right) =\ln(p)-\ln(1-p)=-\ln\left( \frac-1\right)=2\operatorname(2p-1). The base of the logarithm function used is of little importance in ...
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Financial Distress
Financial distress is a term in corporate finance used to indicate a condition when promises to creditors of a company are broken or honored with difficulty. If financial distress cannot be relieved, it can lead to bankruptcy. Financial distress is usually associated with some costs to the company; these are known as ''costs of financial distress''. Cost A common example of a cost of financial distress is bankruptcy costs. These direct costs include auditors' fees, legal fees, management fees and other payments. Cost of financial distress can occur even if bankruptcy is avoided ( indirect costs). Financial distress in companies requires management attention and might lead to reduced attention on the operations of the company. Another source of indirect costs of financial distress are higher costs of capital as usually bank A bank is a financial institution that accepts Deposit account, deposits from the public and creates a demand deposit while simultaneously ma ...
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