The Effect of Bank Loan Portfolio Composition on the Market Reaction to and Anticipation of Loan Loss Provisions

1995 ◽  
Vol 33 (1) ◽  
pp. 77 ◽  
Author(s):  
Chi-Chun Liu ◽  
Stephen G. Ryan
Keyword(s):  
Market Reaction ◽  
Bank Loan ◽  
Loan Loss ◽  
Loan Portfolio ◽  
Loan Loss Provisions ◽  
Portfolio Composition

scholarly journals Provisioning, Bank Behavior and Financial Crisis: Evidence from GCC Banks

2015 ◽  
Vol 11 (3) ◽  
Author(s):  
Saibal Ghosh
Keyword(s):  
Bank Loan ◽  
Capital Regulation ◽  
Islamic Banks ◽  
Bank Capital ◽  
Loan Loss ◽  
Minimum Capital ◽  
Loan Loss Provisions ◽  
Bank Capital Regulation ◽  
Bank Behavior ◽  
Using Data

AbstractThe debate on bank capital regulation has in recent years devoted specific attention to the role that bank loan loss provisions play as a part of the overall minimum capital regulatory framework. Using data for 1996–2011, we find evidence in favor of both capital management and signaling behavior by GCC banks. Islamic banks appear to engage less in such behavior as compared to their non-Islamic counterparts.

Using Loan Loss Indicators by Loan Type to Sharpen the Evaluation of Banks' Loan Loss Accruals

2021 ◽  
Author(s):  
Gauri Bhat ◽  
Joshua Lee ◽  
Stephen G. Ryan
Keyword(s):  
Regulatory Capital ◽  
Loan Loss ◽  
Loan Portfolio ◽  
Net Charge ◽  
Economic Implications ◽  
Portfolio Composition ◽  
Loan Portfolios ◽  
Commercial Loans ◽  
Machine Readable ◽  
Loan Losses

Prior research acknowledges that the determinants, timeliness, and economic implications of banks' provisions for loan losses (PLL) vary across loan types. However, the lack of machine-readable data on PLL by loan type has precluded researchers from incorporating loan type into the evaluation of PLL beyond either controlling for or partitioning the sample on crude proxies for loan portfolio composition. We calculate PLL by loan type as the change in the allowance for loan losses by loan type, which we hand collect from Form 10-K filings, plus net charge-offs by loan type, which we obtain from regulatory filings. Using these data, we show that prior findings that banks exercise discretion over PLL to smooth earnings and increase regulatory capital are driven by commercial loans, a thin slice of banks' loan portfolios, and that commonly used measures of PLL timeliness vary substantially across loan types.

scholarly journals Bank loan loss provisions, investor protection and the macroeconomy

2018 ◽  
Vol 13 (1) ◽  
pp. 45-65 ◽  
Author(s):  
Peterson K. Ozili
Keyword(s):  
Investor Protection ◽  
Positive Function ◽  
Bank Lending ◽  
Bank Loan ◽  
Loan Loss ◽  
African Region ◽  
African Countries ◽  
Content Type ◽  
Loan Loss Provisions ◽  
Economic Boom

Purpose The purpose of this paper is to investigate the non-discretionary determinants of bank loan loss provisions in Africa after controlling for macroeconomic fluctuation, financial development and investor protection. Design/methodology/approach The author uses static and dynamic regression estimation to test for the determinants of bank loan loss provisions. Findings The author finds that non-performing loans (NPL), loan-to-asset ratio and loan growth are significant non-discretionary drivers of bank provisions in the African region. The author observes that bank provision is a positive function of NPL up to a threshold beyond which bank provisions will no longer increase as NPL increases. Also, bank loan-to-asset ratio is a significant driver of bank provisions when African banks have higher loan-to-asset ratios. The author finds that larger banks in financially developed African countries have fewer loan loss provisions while increase in bank lending leads to fewer bank provisions in countries with strong investor protection. Finally, higher bank lending is associated with higher bank provisions during economic boom. Originality/value This study is the first to assess the determinants of non-discretionary bank provisions in Africa as part of micro-prudential surveillance of banks in the African region.

scholarly journals Bank loan loss provisioning during election years: cross-country evidence

2019 ◽  
Vol 16 (4) ◽  
pp. 413-431
Author(s):  
Peterson K. Ozili
Keyword(s):  
Banking Sector ◽  
Developed Countries ◽  
Income Smoothing ◽  
Bank Loan ◽  
Loan Loss ◽  
Political Factors ◽  
Content Type ◽  
Loan Loss Provisions ◽  
Provisioning Behavior ◽  
The Eu

Purpose The purpose of this paper is to examine bank loan loss provisioning behavior during election years – focusing on the effect of elections on banking sector loan loss provisioning. Design/methodology/approach Regression analysis was used to analyze the behavior of bank loan loss provisioning in developed countries during election years. Findings The findings reveal that the banking sectors in developed countries have higher loan loss provisions (LLPs) in election years. Also, income smoothing is present in election years which supports the income smoothing hypothesis. Also, banking sectors with high capital levels have higher LLPs. Although, there were no significant differences in bank loan loss provisioning during election years across the four bloc, the EU banking sectors and the banking sectors of BIS member countries generally have higher LLPs while the non-EU banking sectors and the banking sectors of the G7 member countries generally have fewer LLPs. Originality/value The literature has not explored the effect of political factors such as “election-year risk” on the managers’ discretion in banks. This is the first study that explores the effect of political change on managerial discretion in banks.

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