On the Riskiness of Universal Banking: Evidence from Banks in the Investment Banking Business Pre- and Post-GLBA

We explore whether an economically significant differential exists in market-based risk measures between universal banks and traditional banks. Using a three-asset portfolio regression model, we find that between 1990 and 2007—a period of gradual deregulation culminating in passage of the Gramm–Leach–Bliley Act (GLBA) of 1999—an increased participation in investment banking was associated with higher total and unsystematic risks and no significant change in systematic risk. Small risk-reduction benefits emerged in the post-GLBA era, but such benefits were likely the result of the particular sample period rather than a fundamental change in bank structure following the GLBA. Our results cannot justify the GLBA on risk-reduction grounds, though the Act may be defensible for other reasons.     

How does the stock market react to the announcement of green policies?

We investigate the impact of 19 announcements of environmental regulation on the equities listed on the Australian Stock Exchange over the period 2005–2011. Using a well-established event study methodology, we assess whether these announcements are value constructive or destructive for equity investors. Additionally, we estimate the change in systematic risk following the announcements. Our results show that the Australian market was particularly sensitive to the carbon pollution reduction scheme (CPRS) announcement. A cumulative abnormal return of −31% was recorded in the alternative energy sector after Australia submitted its target range to the Copenhagen Accord. We observe that a move towards a greener nation has a mixed effect on abnormal returns with apparent sector-by-sector differences. Green policies appear to affect the long-term systematic risk of industries, leading to the diamond risk phenomenon.     

EXPLORING THE LINK BETWEEN INFORMATION QUALITY AND SYSTEMATIC RISK

We examine the effect of information quality around earnings announcements and insider trading events on equity systematic risk. Our results indicate that observed systematic risk significantly increases after these events. Consistent with the insights provided by our framework, the change in systematic risk is increasing in the ratio of event‐related to pre‐event information quality. Our results have implications for all empirical work attempting to model security returns around firm and macroeconomic announcements.     

An Examination of the Equity Market Response to The Gramm-Leach-Bliley Act Across Commercial Banking, Investment Banking, and Insurance Firms

Abstract:  This paper examines the wealth effects of the events surrounding the passage of the Gramm-Leach-Bliley Act of 1999 and changes in systematic risk from the pre-Act period to the post-Act period for commercial banks, investment banks, and insurance firms. The results suggest that investment banks and insurance firms are better positioned to exploit the benefits of product-line diversification opportunities allowed by the legislation compared to commercial banks that experience no significant market reaction. Further evidence indicates a significant risk shift and overall reduction in riskiness for the financial sectors under consideration around the event period.     

What drives corporate default risk premia? Evidence from the CDS market

This article studies the economic factors behind corporate default risk premia in Europe during the period 2006–2010. We employ information embedded in Credit Default Swap (CDS) contracts to quantify expected excess returns from the underlying bonds in market-wide default circumstances. We disentangle the compensation to investors for unexpected changes in the creditworthiness of the bond issuer from their remuneration for the risk that the bond's price will drop in the event of default. Our results show that the risk premia associated with systematic factors influencing default arrivals represent approximately 40% of total CDS spread (on median). These premia also exhibit a strong source of commonality; a single principal component explains approximately 88% of their joint variability. This factor significantly covaries with aggregate illiquidity and sovereign risk variables. Empirical evidence suggests a public-to-private risk transfer between sovereign credit spread and corporate risk premia. Finally, the compensation in the event of default is approximately 14 basis points of the total CDS spread, and a significant amount of jump-at-default risk may not be diversifiable.     

External Conditions,the Evolution of Financial Risks,and the Informational Content of Stock Prices: The Case of Chile

ABSTRACT

In this article, we find that the dynamics of local financial risks in the Chilean stock market are associated with the evolution of external economic conditions, with a strong reduction in both idiosyncratic and systematic risks during periods of stable conditions. Despite this, we fail to find any significant change in the traditional measures of stock price synchronicity developed in the R² literature in our sample. We argue that these measures neglect the relationship between stock prices and fundamentals and find that the strength of the association between prices and fundamentals changes during our sample period, being much stronger during times of stable external conditions and diminished stock price volatility.     

The Impact of Terrorist Attacks on International Stock Markets

We examine the effects of terrorist attacks on stock markets, using a dataset that covers all significant events and that directly relate to the major economies of the world. Our event study suggests that terrorist attacks produce mildly negative price effects. We compare these price reactions to those from an alternative type of unanticipated disaster, earthquakes, and find that price declines following terror attacks are more pronounced. However, in both cases prices rebound within the first week of the aftermath. We also compare price responses internationally and for separate industries, and find that reactions are strongest for local markets and for industries that are directly affected by the attack. Our results suggest that financial markets react strongly to terror events but then recover swiftly and soon return to business as usual. The September 11th attacks turn out to be the only event that caused long‐term effects on financial markets, especially in terms of industries' systematic risk.     

Do rating agencies’ decisions impact stock risks? Evidence from European markets

This article analyses the effect of rating agencies’ decisions on stock risks for European issuers concerning five kinds of events. Our approach is an extension of dummy variable regression event study methodology, using a GARCH(1,1) estimation to capture simultaneously the impact on both systematic and specific stock risks. This new methodology allows us to obtain both global results by categories of rating decisions and individual results, event by event. We document, globally, a positive impact of upgrading on systematic risk, a negative impact of rating confirmation on specific risk, and no significant impact in all other cases. Regarding event-by-event results, the proportion of rating actions exhibiting a significant effect on risk is almost always observed between 20% and 30%. The weak evidence of a global effect on systematic risk may be due to the lack of informational content of the rating decisions on the stocks’ risk, or the existence of rebalancing effects between systematic and idiosyncratic risks. Furthermore, it should be noticed that the decline in volatility in case of a rating affirmed is an insight of the certification role played by the agencies.     

Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach

We use Markov Chain Monte Carlo (MCMC) methods for the parameter estimation and the testing of conditional asset pricing models. In contrast to traditional approaches, it is truly conditional because the assumption that time variation in betas is driven by a set of conditioning variables is not necessary. Moreover, the approach has exact finite sample properties and accounts for errors‐in‐variables. Using S&P 500 panel data, we analyse the empirical performance of the CAPM and the Fama and French (1993) three‐factor model. We find that time‐variation of betas in the CAPM and the time variation of the coefficients for the size factor (SMB) and the distress factor (HML) in the three‐factor model improve the empirical performance. Therefore, our findings are consistent with time variation of firm‐specific exposure to market risk, systematic credit risk and systematic size effects. However, a Bayesian model comparison trading off goodness of fit and model complexity indicates that the conditional CAPM performs best, followed by the conditional three‐factor model, the unconditional CAPM, and the unconditional three‐factor model.     

Risk and Return Around Bond Rating Changes: New Evidence From the Spanish Stock Market

Abstract:  This study analyzes the effect of corporate bond rating changes on stock prices in the Spanish stock market. We explore their effects on excess of returns and systematic risk. Rating changes by Moody's, Standard and Poor's and FitchIBCA are analyzed. On an efficient market, these changes will only have some effect if they contain some new information or if they are associated to a redistribution of wealth between shareholders and bondholders. We use an extension of the event study dummy approach. Our results support the redistribution of wealth hypothesis in the abnormal returns behavior. We also find that changes in both directions cause a rebalancing effect in the total risk of the firm, with significant reductions on their systematic component.     

ECB policy and Eurozone fragility: Was De Grauwe right?

Paul De Grauwe's Eurozone fragility hypothesis states that sovereign debt markets in a monetary union without a lender-of-last-resort are vulnerable to self-fulfilling dynamics fuelled by pessimistic investor sentiment that can trigger default. We test this contention by applying an eclectic methodology to a two-year window around Mario Draghi's “whatever-it-takes” pledge that can be understood as the implicit announcement of the Outright Monetary Transactions (OMT) program. A principal components analysis reveals that the perceived commonality in default risk among peripheral and core Eurozone sovereigns increased after the announcement. An event study reveals significant pre-announcement news transmission from Spain to Italy, France, Belgium and Austria that clearly dissipates post-announcement. Country-specific regressions of CDS spreads on systematic risk factors reveal frequent days of large adverse shocks affecting simultaneously those five Eurozone countries, but only during the pre-announcement period. Altogether these findings support the fragility hypothesis and endorse the OMT program.     

Commercial bank mutual fund activities: Implications for bank risk and profitability

This paper examines the risk structure of bank holding companies and the effect of mutual fund activities on bank risk and profitability over the period 1987–1994. Findings from structural change tests indicate a significant decline in bank risk occurred near the mid-point of the study. Results from a confirmatory factor analytic model employed to examine the impact of mutual fund activities on banks suggest that mutual fund activities moderated bank industry systematic risk during the sample period. Mutual fund activities also increased the profitability of banks. These results suggest that mutual funds represent a productive avenue of expansion for bank holding companies.     

An Empirical Investigation of Firm Longevity: A Model of the Ex Ante Predictors of Financial Distress

Empirical models of a potential failure process that incorporate distress states between the extremes of corporate health and bankruptcy are uncommon. We depict financial distress as a series of financial events that reflect varied stages of corporate adversity. Our intent is to provide information regarding the influence of certain risk dimensions and firm-specific attributes on distressed firm survival over time. Within a theorized distress framework, we utilize the techniques of survival analysis to longitudinally track firms, grouped a priori according to an initial decline in operating cash flows. We find that the event of default has a significant positive association with business failure. Further, we document that the significant accounting covariates tend to change conditional on a firm having progressed through the diverse stages of distress. These findings accentuate the heterogeneous nature of financial distress and potential business failure.     

STOCK MARKET PERCEPTION OF INDUSTRIAL FIRM BANKRUPTCY

The objectives of this study are to determine (1) when the stock market first perceives the impending bankruptcy of a potentially bankrupt firm and (2) what firm-specific factors explain the interval between the perception time and the eventual date of bankruptcy (i.e., market lead time). A computational methodology based on the Hillmer-Yu technique is used to determine the month in which a structural change in the mean and variance of monthly stock return occurs for a potentially bankrupt firm. This parametric change month or the “market perception time” is computed for a sample of 47 industrial firms. The range of market lead times cautions against the common assumption of a uniform event period in event studies. The lead time interval (for both the mean and variance of monthly market return) of poteintially bankrupt firms is found to be positively related to the firm's earnings per share at the time of stock market perception of eventual bankruptcy. Neither the firm's asset size nor systematic risk appear to be significant indicators of lead time interval. Also, change in investment at market perception time is positively related to percentage change in the market lead times. This suggests that innovations in the investment variable are a source of new information to the security market in assesing the probability of future bankruptcy of a firm.     

Trading on inside information: Evidence from the share-structure reform in China

We examine stock trading activities in days before Chinese listed firms made public announcement to start share-structure reform. There is significant evidence that, relative to a benchmark period, institutional investors bought more event firms’ shares in the last two trading days prior to announcement. Randomization tests show significant differences in institutional trading activities between event firms and matched control firms, which suggests that some institutions had inside information. Moreover, large trades account for a significant proportion of daily stock price changes in the last 2 days. The evidence is consistent with the prediction by Holden and Subrahmanyam (1992) that, when multiple informed investors acquire the same piece of information, they will trade aggressively. We also find that over the reform period, the median share value change of event firms is 6% higher than that of control firms. Our findings have important implications for enforcement of insider trading regulations in China.     

Buy rough,sell smooth

Recent work has documented roughness in the time series of stock market volatility and investigated its implications for option pricing. We study a strategy for trading stocks based on measures of their implied and realized roughness. A strategy that goes long the roughest-volatility stocks and short the smoothest-volatility stocks earns statistically significant excess annual returns of 6% or more, depending on the time period and strategy details. The profitability of the strategy is not explained by standard factors. We compare alternative measures of roughness in volatility and find that the profitability of the strategy is greater when we sort stocks based on implied rather than realized roughness. We interpret the profitability of the strategy as compensation for near-term idiosyncratic event risk.     

Changes in the risk structure of stock returns: Consumer Confidence and the dotcom bubble

Changes in the risk structure of stock returns may sometimes be very revealing. We examine economic variables that help explain principal components in UK stock returns, 01/1985 to 12/2001. The loading pattern on explanatory variables for the first component in a ‘bubble’ period is distinctive and consistent with a bubble/crash market. The second component shows a loading pattern on a Consumer Confidence variable in a pre-bubble period only. We observe apparently systematic changes in the structure of risk, and conjecture that Consumer Confidence captures a change in market sentiment that could be a signal for the evolution of stock prices.     

The Pollution Premium

This paper studies the asset pricing implications of industrial pollution. A long-short portfolio constructed from firms with high versus low toxic emission intensity within an industry generates an average annual return of 4.42%, which remains significant after controlling for risk factors. This pollution premium cannot be explained by existing systematic risks, investor preferences, market sentiment, political connections, or corporate governance. We propose and model a new systematic risk related to environmental policy uncertainty. We use the growth in environmental litigation penalties to measure regime change risk and find that it helps price the cross section of emission portfolios' returns.     

Initial Technical Violations of Debt Covenants and Changes in Firm Risk

The purpose of this paper is to investigate whether initial technical debt covenant violations are associated with significant increases in the equity risk of violating firms. Our results indicate that first-time violations are associated with significant increases in both systematic and unsystematic risk. The increase in systematic risk is attributable primarily to rising levels of financial leverage as opposed to changes in the underlying asset beta. We also find that the change in unsystematic risk experienced by first-time debt covenant violators is a significant predictor of future exchange delisting, even after controlling for other factors typically associated with increasing financial distress.     

Change in market assessments of deposit-institution riskiness

Using the Goldfeld and Quandt switching regression method, this article investigates variability over 1975–1985 in the risk components of bank and saving and loan stock. We develop evidence that the market-beta, interest-sensitivity, and residual risk of deposit-institution stock vary significantly during this period. Reassessing previous event studies in light of these findings suggests that event-study methods tend to overreach their data. The Ohio State University University of Maryland