Does the Stock Market Compensate Banks for Diversifying into the Insurance Business?

This paper explores a wide range of corporate restructurings, all available deals from wire services, in the banking and insurance sectors that led to bancassurance ventures. An event study methodology is employed to calculate excess returns on and around the deals’ announcement date. Using both univariate and multivariate analysis the paper finds bank driven mergers, deal's size and regional categorization all triggering positive and significant market reactions. Unlike the univariate framework, multivariate analysis shows that geographic focus and language are not significant factors. The results also indicate that markets are indifferent with respect to bank withdrawals from the bank‐insurance operations. Finally, Canadian, U.S. and European bank‐insurance deals produce positive results, while Australasian bidders offer statistically insignificant equity returns.     

国企集团整体上市与国企监管的挑战和对策研究

国企集团的整体上市是深化国企改革的重大举措,也给国企监管带来了巨大的机遇和挑战。针对国企集团整体上市所带来的国企监管的新变化、新任务,应从全面把握变化、客观分析原因入手,采取各种有效的应对措施,加强和完善对国有企业的监督和管理。     

How does issuing contingent convertible bonds improve bank's solvency? A Value-at-Risk and Expected Shortfall approach

This paper examines how issuing an innovative financial instrument called contingent convertible bond (CoCo) may enhance bank's solvency in comparison to issuing a conventional bond. CoCos convert automatically into common equity or have a principal write-down when bank's regulatory capital fails to meet a predetermined level. They have been invented and put into legislation with an objective to absorb losses thus preventing institutions from bankruptcy. From the standpoint of an issuer CoCos bring about two counter effects regarding his solvency: on one hand they recapitalize a bank approaching insolvency on the other hand CoCos pay much higher coupon comparing to conventional bonds. In our model a bank has two funding alternatives: either to issue CoCos or conventional bonds. We measure issuer's default risk using the concept of Value-at-Risk (VaR) and Expected Shortfall (ES). We conclude that CoCos have the potential to strengthen the resilience of the issuer on the condition that the probability of conversion triggering is higher than the VaR's significance level. Our findings can be helpful to the policymakers and banks to better understand the impact of CoCos on issuer's solvency.     

我国商业银行体系脆弱性形成因素及应对策略

美国次贷危机引发的全球金融危机迅速蔓延,并对世界经济体系和金融体系造成严重损害。我国商业银行体系脆弱性现况明显,本文从我国国有银行的现况进行分析,然后对其原因进行分析。介绍了因子分析的思想及方法,然后运用因子分析模型进行了数据分析。最后提出防范国有商业银行脆弱性的对策和建议。     

Bank competition,concentration and financial stability in the Turkish banking industry

This paper analyzes the impact of competition and concentration on bank stability in the Turkish banking industry over the period 2002–2012. The Boone indicator and the efficiency-adjusted Lerner index are used as proxies for competition, while the non-performing loans (NPL) ratio and Z-scores are used as proxies for bank stability. The main results indicate that competition is negatively related to the NPL ratio but positively related to the Z-score. The results further indicate that greater concentration has a positive impact on the NPL and a negative impact on the Z-score. We also use a quadratic term of the competition measures to capture a possible non-linear relationship between competition and stability. The results show that the coefficient of the quadratic term is negative for the NPL model and positive for the Z-score model. Overall, our findings provide support for the competition-fragility view.     

Reputation,risk-taking,and macroprudential policy

This paper examines the role of macroprudential capital requirements in preventing inefficient credit booms in a model with reputational externalities. In our model, unprofitable banks have strong incentives to invest in risky assets when macroeconomic fundamentals are good in order to avoid the stigma of being assessed as low ability by the market. We show that across-the-system countercyclical capital requirements that deter such gambling are constrained optimal when fundamentals are neither extremely weak nor extremely strong.     

Flight to liquidity and the Great Recession

This paper argues that counter-cyclical liquidity hoarding by financial intermediaries may strongly amplify business cycles. It develops a dynamic stochastic general equilibrium model in which banks operate subject to agency problems and funding liquidity risk in their intermediation activity. Importantly, the amount of liquidity reserves held in the financial sector is determined endogenously: Balance sheet constraints force banks to trade off insurance against funding outflows with loan scale. A financial crisis, simulated as an abrupt decline in the collateral value of bank assets, triggers a flight to liquidity, which strongly amplifies the initial shock and induces credit crunch dynamics sharing key features with the Great Recession. The paper thus develops a new balance sheet channel of shock transmission that works through the composition of banks’ asset portfolios.     

Institutional failure or market failure?

We investigate the effect of the power of creditors, property rights protection, and institutional quality, on bank profits using a panel of 498 banks from 46 countries. Results show that better institutions and stronger property rights protection reduce bank profits, while stronger power of creditors drives up bank profits significantly. Results imply that better institutions and enhanced property rights protection lead to greater flow of credit allowing firms and investors to undertake more profitable ventures. By extension, stronger creditor rights erect steeper barriers to external finance for firms and investors. National indicators of economic freedoms may be more important to lowering the spread than strict creditor rights. Seemingly, credit markets fail when economic institutions fail or when governments intervene into these markets in ways that impede the safety and soundness of financial transactions and private contracting.     

Predicting bank insolvencies using machine learning techniques

Proactively monitoring and assessing the economic health of financial institutions has always been the cornerstone of supervisory authorities. In this work, we employ a series of modeling techniques to predict bank insolvencies on a sample of US-based financial institutions. Our empirical results indicate that the method of Random Forests (RF) has a superior out-of-sample and out-of-time predictive performance, with Neural Networks also performing almost equally well as RF in out-of-time samples. These conclusions are drawn not only by comparison with broadly used bank failure models, such as Logistic, but also by comparison with other advanced machine learning techniques. Furthermore, our results illustrate that in the CAMELS evaluation framework, metrics related to earnings and capital constitute the factors with higher marginal contribution to the prediction of bank failures. Finally, we assess the generalization of our model by providing a case study to a sample of major European banks.     

Bank capital and lending: Evidence of nonlinearity from Indonesia

This paper studies the transmission of bank capital shocks to loan supply in Indonesia. Using bank data for the period 2001:Q1 to 2018:Q4, we estimate dynamic panel data models of bank lending. We find nonlinear effects of capital on loan growth. Specifically, the response of weakly capitalized banks to changes in their capital positions is larger than that of strongly capitalized banks. This non-linearity implies that not only the level of capital but also its distribution across banks in the system affects the transmission of shocks to aggregate lending. Likewise, the effects of bank recapitalization on loan growth depend on banks’ starting capital positions and the size and distribution of capital injections.