Resilience: Lessons from banks that have braved the economic crisis—And from those that have not

Resilience – a firm's ability to adapt, endure, quickly bounce back, and then thrive despite a catastrophic event – addresses diverse managerial constructs including performance (Carmeli & Markman, 2011). Our exploratory study expands this line of research by making two contributions: first, we develop and test a new revelatory measure for resilience – VOLARE – combining financial performance measures with volatility data. Then, applying this new measure to the financial industry, from 2002 to 2011, we identify highly resilient international financial services firms (IFSFs; e.g., banks) and compare them with less resilient IFSFs. Second, we assess three factors – bank size, home-market solidity, and product and market complexity – that the literature has traditionally shown to be highly predictive of banks’ performance. Consistent with our expectations, the results corroborate that VOLARE is complementary to, but distinct from, traditional financial measures of firm performance. We explain these deviations from traditional studies and suggest further research topics.     

The effect of banking market structure on the lending channel: Evidence from emerging markets

This paper analyses the extent to which the level of bank competition influences monetary policy transmission. Using a large panel dataset of 978 banks from 55 countries, and employing the Lerner index model as a measure of market structure, our results show that an increase in banking sector competition weakens the effectiveness of monetary policy on bank lending. The findings are robust to a broad array of sensitivity checks including control of alternative measurements of the Lerner index, different samples and different methodological specifications. By extension, these results have important policy implications for regulators in assessing the effectiveness of monetary policy transmission mechanisms.     

The effectiveness of the ECB’s unconventional monetary policy: Comparative evidence from crisis and non-crisis Euro-area countries

During the European financial crisis, the European Central Bank implemented a series of unconventional monetary policy measures. We argue that these programs lowered the bond yield spreads of Euro-area countries. This hypothesis is tested using pooled OLS estimations and two different datasets: monetary policy event dummies and the purchase volumes of the Securities Markets Programme (SMP). Overall, we find significantly negative effects on bond yield spreads for both datasets, leading us to accept the hypothesis. While the OMT reduces the spreads of both crisis and non-crisis countries, LTROs and the lowering of the deposit rate to 0 percent are mainly effective in non-crisis countries. The SMP lowers the spreads of crisis countries, but it has the opposite effect on non-crisis countries. This converse effect is explained by the risk that increasingly accumulates on the ECB’s balance sheet through the SMP and that way constitutes a fiscal risk for non-crisis countries. The results are confirmed by pooled OLS estimations that measure the effect of unconventional monetary policy on central government debt.     

Unconventional Monetary Policy in the Eurozone: A Lack of Forward Guidance?

From July to December 2011, the three-month EURIBOR-OIS and EURIBOR-Repo spreads quadrupled and reached 100 basis points due to a stabilization of the EURIBOR and a decrease in the overnight index swap (OIS) and Repo. Using a specific monetary policy announcements and financial indicators database, we find that the European Central Bank’s (ECB’s) unconventional measures did not systematically have a calming effect: Asset buyout announcements decreased market strains, whereas interest rates and liquidity provision announcements did not. Moreover, liquidity provision seems to have a stressing effect. Our findings are consistent with the theoretical underpinnings according to which forward guidance crucially determines the effectiveness of unconventional monetary policies.     

Local banking and local economic growth in Italy: some panel evidence

This article provides new evidence on the contribution of local banking to local economic growth (i.e. at county level – the Italian ‘province’) in Italy. A comprehensive data set is used, which includes control variables for social capital and human capital as well as indicators of the quality of local infrastructures and the production structure of the local economy. A linear within-estimator technique with fixed effects is applied to a modified version of the so-called Barro regression in order to address the well-known econometric issues of reverse causality and estimation bias resulting from unobserved district-specific influences.     

Do stock markets discipline US Bank Holding Companies: Just monitoring,or also influencing?

This paper presents evidence that bank managers adjust key strategic variables following a risk and/or valuation signal from the stock market. Banks receive a risk signal when they exhibit substantially higher (semi-)volatility compared to the best performing bank(s) with similar characteristics, and a valuation signal when they are undervalued relative to the average bank with similar characteristics. We document, using a partial adjustment model, that bank managers adjust the long-term target value of key strategic variables and the speed of adjustment towards those targets following a risk and/or negative valuation signal. We interpret this as evidence of stock market influencing. We show that our results are unlikely to be driven by indirect influencing by regulators, subordinated debtholders, retail or wholesale depositors. Finally, we show that the likelihood that banks receive a risk and/or valuation signal increases with opaqueness, managerial discretion and specialization.     

The economic consequences of the TARP: The effectiveness of bank recapitalization policies in the U.S.

This study empirically analyzes the impact of the United States’ bank recapitalization program, the centerpiece of the United States’ $700 billion Troubled Asset Relief Program (TARP), on bank portfolios. Through superior empirical analysis and correct model specification, our findings overturn much of the existing literature on the effectiveness of capital injections into the banking sector in Japan and the United States. We show that the TARP program did not achieve the stated policy objective of stimulating bank lending. On the contrary, we find evidence that recipient banks grew assets significantly slower, particularly heavily risk-weighted assets such as loans. These findings are robust to various empirical specifications, including two-stage least squares estimation using instrumental variables, difference-in-difference techniques and generalized method of moments. These techniques control for pre-existing trends in loan growth while addressing potential endogeneity bias.     

Measuring systemic risk with regime switching in tails

This paper motivates the importance of modeling nonlinearities in measuring systemic risk. I capitalize this motivation by generalizing the CoVaR approach proposed by Adrian and Brunnermeier (2016) to allow it switching between a high and a normal risk regime filtered from data.. Considering the U.S. large bank holding companies (BHCs), this paper shows that modeling regime changes in tails is capable of capturing both amplification and mean-reversion effects of an adverse shock to a bank's balance sheet on the banking system. Using the Kolmogorov–Smirnov test statistics with and without bootstrapping, I perform the significance test to identify systemically important financial institutions (SIFIs), and the stochastic dominance test to rank the identified SIFIs. The stochastic dominance test raises the concern that the CoVaR measure underestimates systemic risk contributions for SIFIs but overestimates for non-SIFIs. Finally, applying the BHCs' characteristics and housing market price to forecast the regime-switching systemic risk out-of-sample, I obtain from 4- and 8-quarter-ahead horizons a desirable countercyclical, forward-looking measure of systemic risk.     

基于SWOT分析的商业银行金融科技发展战略研究

金融科技（Fintech）以新兴技术为核心,对金融产品进行改造及创新,拓宽金融可 获得性,提高金融效率,有力地促进传统金融业的转型升级,已成为商业银行的战略重点和发 展方向。同时,商业银行发展金融科技也面临一系列劣势和困境,如缺乏高效组织架构、信息 科技系统难兼容等。本文在对相关文献回顾和评述的基础上,首先分析了商业银行发展金融科 技的背景;其次,重点运用SWOT分析法剖析商业银行发展金融科技的优势、劣势、机会和威 胁;最后,提出商业银行发展金融科技的对策建议：由内部研发、成立子公司,逐步过渡到外 部战略合作。     

Regulatory Capital Arbitrage and the Potential Competitive Impact of Basel II in the Market for Residential Mortgages

U.S. banking regulators have proposed a bifurcated system of capital regulation where the largest, internationally active banking organizations would be subject to significantly more risk sensitive regulatory capital requirements than are currently in place, while most others would remain subject to the current rules. The proposed new capital regime has the potential to affect the competitive landscape among banking institutions, particularly in the area of residential mortgage lending. We analyze the potential competitive effects of the proposed, bifurcated regulatory capital system on competition in the residential mortgage market from the perspective of the theory of regulatory capital arbitrage. We then apply the theory and available evidence to perform some benchmark calculations that suggest a significant, potential shift of market share and income to the largest banking institutions in the mortgage market.