Bank Earnings Management and Tail Risk during the Financial Crisis

We show that a pattern of earnings management in bank financial statements has little bearing on downside risk during quiet periods, but seems to have a big impact during a financial crisis. Banks demonstrating more aggressive earnings management prior to 2007 exhibit substantially higher stock market risk once the financial crisis begins as measured by the incidence of large weekly stock price “crashes” as well as by the pattern of full‐year returns. Stock price crashes also predict future deterioration in operating performance. Bank regulators may therefore interpret them as early warning signs of impending problems.     

Volatility risk and the value premium: Evidence from the French stock market

This paper documents that systematic volatility risk is an important factor that drives the value premium observed in the French stock market. Using returns on at-the-money straddles written on the CAC 40 index as a proxy for systematic volatility risk, I document significant differences between volatility factor loadings of value and growth stocks. Furthermore, when markets are classified into expected booms and recessions, volatility factor loadings are also time-varying. When expected market risk premium is above its average, i.e. during expected recessions, value stocks are seen riskier than their growth counterparts. This implies in bad times, investors shift their preferences away from value firms. Instead they use growth stocks as hedges against deteriorations in their wealth during those times. The findings are in line with the predictions of rational asset pricing theory and support a “flight-to-quality” explanation.     

Stock market volatility around national elections

This paper investigates a sample of 27 OECD countries to test whether national elections induce higher stock market volatility. It is found that the country-specific component of index return variance can easily double during the week around an election, which shows that investors are surprised by the election outcome. Several factors, such as a narrow margin of victory, lack of compulsory voting laws, change in the political orientation of the government, or the failure to form a government with parliamentary majority significantly contribute to the magnitude of the election shock. Furthermore, some evidence is found that markets with short trading history exhibit stronger reaction. Our findings have important implications for the optimal strategies of institutional and individual investors who have direct or indirect exposure to volatility risk.     

Systemic Risk,Financial Crisis,and Credit Risk Insurance

Differing from conventional insurance firms whose underwriting business does not contribute to systemic risk, credit risk insurance companies providing credit protections for debt obligations are exposed to systemic risk. We show that credit risk insurers (CRIs) underperformed conventional insurance companies during the 2007–2009 financial crisis, and such underperformance is attributed to the greater systemic risk of CRIs. We also find that the credit spreads of insured bonds increase significantly after their insurers are downgraded or put in the negative watch list. We control for alternative factors affecting bond credit spreads and the result is robust.     

Greenspan's Retrospective of Financial Crisis and Stochastic Optimal Control

Alan Greenspan argues that the crisis was unpredictable and inevitable, given the ‘excessive’ leverage of the financial intermediaries. I focus upon the housing sector, which has been at the origin of the financial crisis because the value of the financial derivatives ultimately depended upon the ability of the mortgagors to repay their debts. The uncertainty concerns the capital gains – housing price appreciation – and the rate of interest. I explain why the application of stochastic optimal control (SOC) is an effective approach to determine the optimal degree of leverage, the optimum and excessive risk and the probability of a debt crisis. I show that the theoretically derived early warning signal of a crisis is the excess debt ratio, equal to the difference between the actual and optimal ratio. The excess debt of households starting from 2004‐05 indicated that a housing crisis was most likely.     

The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis

We analyze the roles of bank ownership, management, and compensation structures in bank failures during the recent financial crisis. Our results suggest that failures are strongly influenced by ownership structure: high shareholdings of lower‐level management and non‐chief executive officer (non‐CEO) higher‐level management increase failure risk significantly. In contrast, shareholdings of banks’ CEOs do not have a direct impact on bank failure. These findings suggest that high stakes in the bank induce non‐CEO managers to take high risks due to moral hazard incentives, which may result in bank failure. We identify tail risk in noninterest income as a primary risk‐taking channel of lower‐level managers.     

金融危机对证券市场波动溢出的影响研究

不同证券市场之间的波动存在时变、非对称、非线性相关的特性,尤其是在极端事件影响下,证券市场之间往往会表现出尾部相关的特性。以次贷危机为背景,利用时变Copula模型研究了证券市场间的波动溢出。结果发现无论是金融安全时期还是金融危机时期,均存在美国证券市场对中国证券市场的波动溢出,并且在金融危机期间这种波动溢出效应有增强的趋势。     

Stock return volatility,operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly

This study highlights the link between stock return volatility, operating performance, and stock returns. Prior studies suggest that there is a ‘low volatility’ anomaly, where firms with a low stock return volatility out-perform firms with a high stock return volatility. This paper confirms that low volatility stocks earn higher returns than high volatility stocks in emerging markets and developed markets outside of North America. We also show that low volatility stocks have higher operating returns and this might explain why low volatility stocks earn higher stock returns. These results provide a partial explanation for the ‘low volatility effect’ that is independent from the existence of market anomalies or per se inefficiencies that might otherwise drive a low volatility effect. We emphasize the importance of controlling for stock return volatility when analyzing operating performance and stock performance.     

Imperfect Information and Stock Market Volatility

The purpose of this paper is to (1) develop a model to show how imperfect information can create excess volatility in asset returns and (2) provide empirical evidence consistent with the model. In this framework, variations in information quality cause the market prices to fluctuate more than the corresponding economic fundamentals. Using high‐frequency data from 1988 to 2002, the empirical evidence supports the predictions of the model by showing that economic volatility, defined as squared deviations of the quarterly gross domestic product (GDP) growth rate from its long‐run trend, can explain about half of the variation in S&P 500‐stock index quarterly volatility.     

Bank Capital: Lessons from the Financial Crisis

Using a multicountry panel of banks, we study whether better capitalized banks experienced higher stock returns during the financial crisis. We differentiate among various types of capital ratios: the Basel risk‐adjusted ratio, the leverage ratio, the Tier 1 and Tier 2 ratios, and the tangible equity ratio. We find several results: (i) before the crisis, differences in capital did not have much impact on stock returns; (ii) during the crisis, a stronger capital position was associated with better stock market performance, most markedly for larger banks; (iii) the relationship between stock returns and capital is stronger when capital is measured by the leverage ratio rather than the risk‐adjusted capital ratio; (iv) higher quality forms of capital, such as Tier 1 capital and tangible common equity, were more relevant.     

Volatility components, leverage effects, and the return-volatility relations

This paper investigates the risk-return trade-off by taking into account the model specification problem. Market volatility is modeled to have two components, one due to the diffusion risk and the other due to the jump risk. The model implies Merton’s ICAPM in the absence of leverage effects, whereas the return-volatility relations are determined by interactions between risk premia and leverage effects in the presence of leverage effects. Empirically, I find a robust negative relationship between the expected excess return and the jump volatility and a robust negative relationship between the expected excess return and the unexpected diffusion volatility. The latter provides an indirect evidence of the positive relationship between the expected excess return and the diffusion volatility.     

Corporate Bond Returns and Volatility

Recent literature emphasizes the relation of stock volatility to corporate bond yields. We demonstrate that during 1996–2005 corporate bond excess return volatility is directly related to contemporaneous corporate bond excess returns. In fact, the decompositions of aggregate bond volatility have a higher contemporaneous correlation with bond yields in comparison to idiosyncratic stock risk. Additionally, bond volatility and idiosyncratic risk are significant predictors of corporate three‐month and six‐month ahead bond excess returns. We also find that corporate bond volatility contains both slow moving and time‐varying components.     

Stock market bubbles, inflation and investment risk

This paper proposes an autoregressive regime-switching model of stock price dynamics in which the process creates pricing bubbles in one regime while error-correction prevails in the other. In the bubble regime the stock price depends negatively on inflation. In the error-correction regime it depends on the price-dividend ratio. We find that the probability of regime-switch depends on exogenous inflation and lagged price. The model is consistent with Shleifer and Vishny's theoretical noise trader and arbitrageur model and Modigliani's inflation illusion phenomenon. The results emphasize the importance of inflation and the price-dividend ratio when assessing investment risk.     

Fund Management and Systemic Risk – Lessons from the Global Financial Crisis

Fund managers play an important role in increasing efficiency and stability in financial markets. But research also indicates that fund management in certain circumstances may contribute to the buildup of systemic risk and severity of financial crises. The global financial crisis provided a number of new experiences on the contribution of fund managers to systemic risk. In this article, we focus on these lessons from the crisis. We distinguish between three sources of systemic risk in the financial system that may arise from fund management: insufficient credit risk transfer to fund managers; runs on funds that cause sudden reductions in funding to banks and other financial entities; and contagion through business ties between fund managers and their sponsors. Our discussion relates to the current intense debate on the role the so‐called shadow banking system played in the global financial crisis. Several regulatory initiatives have been launched or suggested to reduce the systemic risk arising from non‐bank financial entities, and we briefly discuss the likely impact of these on the sources of systemic risk outlined in the article.     

Mortgage Default during the U.S. Mortgage Crisis

Which theory can quantitatively explain the rise in mortgage defaults during the U.S. mortgage crisis? This paper finds that the double‐trigger hypothesis, which attributes mortgage default to the joint occurrence of negative equity and a life event such as unemployment, is consistent with the evidence. By contrast, a traditional frictionless default model strongly overpredicts the increase in default rates. This paper provides microfoundations for double‐trigger behavior in a model where unemployment causes liquidity problems for the borrower. This framework implies that mortgage crises may be mitigated at a lower cost by bailing out borrowers instead of lenders.     

金融机构信贷扩张、资产价格波动与金融危机——基于资产负债表分析模型

金融危机具有周期性特征,通常在金融危机爆发前后会发生显著的资产价格剧烈波动。由于银行中介信贷周期与宏观经济周期的同周期性,金融危机爆发前的信贷扩张与资产价格泡沫积累掩盖了金融机构的系统性风险问题;市场高涨往往伴随着金融自由化思潮、道德风险问题与实质性监管松弛。基于对金融中介机构资产负债表量化模型的构建与分析,应从资本充足率、金融资产计量属性、坏账拔备比率三个维度采取逆周期金融监管策略,以降低金融危机发生的概率。     

Hierarchical Determinants of Brazilian Stock Returns During the 2008 Financial Crisis

Abstract:

We analyze the influence of firm- and industry-level determinants on stock returns during the 2008 financial crisis, using a hierarchical linear model to analyze the returns of 135 Brazilian firms. The impact of these determinants on stock returns has not received sufficient attention in periods of severe market decline. The following determinants were significant: (1) industry-level determinants (unlevered beta, historical sales growth, and regulated tariff), and (2) firm-level determinants (size, illiquidity, and book-to-market ratio). We also identified an indirect influence of unlevered beta over book-to-market that reflects a behavior that we call the “misconfidence effect.”     

Volatility Spillovers and Contagion During the Asian Crisis: Evidence from Six Southeast Asian Stock Markets

Using a multivariate generalized autoregressive conditional heteroskedasticity (GARCH-M) model, we investigate volatility spillovers in six Southeast Asian stock markets around the time of the 1997 Asian crisis. We focus on interactions with the U.S. market as a world financial market, and with the Japanese market as a regional financial market. We also use bivariate GARCH-M models to examine the behavior of individual markets and their interactions with other markets in the region. All models lend support to the idea of the "Asian contagion," which started in Thailand and rapidly spread to other markets.     

Crisis and Creative Destruction: Cases of Korean and Japanese Stock Markets

In this essay, we investigate the contrasting performance of Korean and Japanese stock markets before and after the East Asian currency crisis. The Korean stock markets showed a sharper decline and a faster recovery than the Japanese stock markets. First, we theoretically explain these contrasting movements of stock markets by explicitly modeling and adding some new elements to the idea of IT revolution in Greenwood and Jovanovic (Amer. Econom. Rev. 89, 1999, 116–122). Then we empirically prove that the theoretical model in this paper has some quantitative support by considering the level of monthly stock market capitalization and the return on daily stock index in Korea and Japan.JEL Classification Code: F43     

Volatility linkages of the equity,bond and money markets: an implied volatility approach

This study proposes an alternative approach for examining volatility linkages between Standard & Poor's 500, Eurodollar futures and 30 year Treasury Bond futures markets using implied volatility from the three markets. Simple correlation analysis between implied volatilities in the three markets is used to assess market correlations. Spurious correlation effects are considered and controlled for. I find that correlations between implied volatilities in the equity, money and bond markets are positive, strong and robust. Furthermore, I replicate the approach of Fleming, Kirby and Ostdiek (1998) to check the substitutability of the implied volatility approach and find that the results are nearly identical; I conclude that my approach is simple, robust and preferable in practice. I also argue that the results from this paper provide supportive evidence on the information content of implied volatilities in the equity, bond and money markets.