Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises

The major success of fuzzy logic in the field of remote control opened the door to its application in many other fields, including finance. However, there has not been an updated and comprehensive literature review on the uses of fuzzy logic in the financial field. For that reason, this study attempts to critically examine fuzzy logic as an effective, useful method to be applied to financial research and, particularly, to the management of banking crises. The data sources were Web of Science and Scopus, followed by an assessment of the records according to pre-established criteria and an arrangement of the information in two main axes: financial markets and corporate finance. A major finding of this analysis is that fuzzy logic has not yet been used to address banking crises or as an alternative to ensure the resolvability of banks while minimizing the impact on the real economy. Therefore, we consider this article relevant for supervisory and regulatory bodies, as well as for banks and academic researchers, since it opens the door to several new research axes on banking crisis analyses using artificial intelligence techniques

Banking Passivity And Regulatory Failure In Emerging Markets: Theory And Evidence From The Czech Republic.

We present a model of bank passivity and regulatory failure. Banks with low equity positions have more incentives to be passive in liquidating bad loans. We show that they tend to hide distress from regulatory authorities and are ready to offer a higher rate of interest in order to attract deposits compared to banks that are not in distress. Therefore, higher deposit rates may act as an early warning signal of bank failure. We provide empirical evidence that the balance sheet information collected by the Czech National Bank is not a better predictor of bank failure than higher deposit rates. This confirms the importance of asymmetric information between banks and the regulator and suggests the usefulness of looking at deposit rate differentials as early signals of distress in emerging market economies where banks' equity positions are often low.http://deepblue.lib.umich.edu/bitstream/2027.42/39808/3/wp424.pd

Women on boards and greenhouse gas emission disclosures

We apply institutional and board capital theory to examine whether women on boards are associated with disclosure and quality of <i>corporate greenhouse gas</i> (GHG) emissions related reporting. We examine the research problem in Australia in a period when no requirements existed for listed companies to appoint female directors or to report GHG emissions. This environment allows us to examine the association between women on boards and GHG emissions related disclosure in annual and sustainability reports in a voluntary setting. We find that companies with multiple female directors make GHG emissions related disclosures that are of higher quality

Credit risk management in banks: Hard information, soft Information and manipulation

The role of information’s processing in bank intermediation is a crucial input. The bank has access to different types of information in order to manage risk through capital allocation for Value at Risk coverage. Hard information, contained in balance sheet data and produced with credit scoring, is quantitative and verifiable. Soft information, produced within a bank relationship, is qualitative and non verifiable, therefore manipulable, but produces more precise estimation of the debtor’s quality. In this article, we investigate the impact of the information’s type on credit risk management in a principalagent framework with moral hazard with hidden information. The results show that access to soft information allows the banker to decrease the capital allocation for VaR coverage. We also show the existence of an incentive of the credit officer to manipulate the signal based on soft information that he produces. Therefore, we propose to implement an adequate incentive salary package which unables this manipulation. The comparison of the results from the two frameworks (information hard versus combination of hard and soft information) using simulations confirms that soft information gives an advantage to the banker but requires particular organizational modifications within the bank, as it allows to reduce capital allocation for VaR coverage.Hard information; Soft information; risk management; Value at Risk; moral hazard; hidden information; manipulation

Financial crises and bank failures: a review of prediction methods

In this article we analyze financial and economic circumstances associated with the U.S. subprime mortgage crisis and the global financial turmoil that has led to severe crises in many countries. We suggest that the level of cross-border holdings of long-term securities between the United States and the rest of the world may indicate a direct link between the turmoil in the securitized market originated in the United States and that in other countries. We provide a summary of empirical results obtained in several Economics and Operations Research papers that attempt to explain, predict, or suggest remedies for financial crises or banking defaults; we also extensively outline the methodologies used in them. The intent of this article is to promote future empirical research for preventing financial crises.Subprime mortgage ; Financial crises

Banking Passivity and Regulatory Failure in Emerging Markets: Theory and Evidence from the Czech republic

We present a model of bank passivity and regulatory failure. Banks with low equity positions have more incentives to be passive in liquidating bad loans. We show that they tend to hide distress from regulatory authorities and are ready to offer a higher rate of interest in order to attract deposits compared to banks that are not in distress. Therefore, higher deposit rates may act as an early warning signal of bank failure. We provide empirical evidence that the balance sheet information collected by the Czech National Bank is not a better predictor of bank failure than higher deposit rates. This confirms the importance of asymmetric information between banks and the regulator and suggests the usefulness of looking at deposit rate differentials as early signals of distress in emerging market economies where banks' equity positions are often low.bank failures, bank supervision, Czech banking crisis, default risk, transitional economies

Statistical modelling to predict corporate default for Brazilian companies in the context of Basel II using a new set of financial ratios

This paper deals with statistical modelling to predict failure of Brazilian companies in the light of the Basel II definition of default using a new set of explanatory variables. A rearrangement in the official format of the Balance Sheet is put forward. From this rearrangement a framework of complementary non-conventional ratios is proposed. Initially, a model using 22 traditional ratios is constructed. Problems associated with multicollinearity were found in this model. Adding a group of 6 non-conventional ratios alongside traditional ratios improves the model substantially. The main findings in this study are: (a) logistic regression performs well in the context of Basel II, yielding a sound model applicable in the decision making process; (b) the complementary list of financial ratios plays a critical role in the model proposed; (c) the variables selected in the model show that when current assets and current liabilities are split into two sub-groups - financial and operational - they are more effective in explaining default than the traditional ratios associated with liquidity; and (d) those variables also indicate that high interest rates in Brazil adversely affect the performance of those companies which have a higher dependency on borrowing