Stocks with high uncertainty about risk, as measured by the volatility of expected volatility (vol-of-vol), robustly underperform stocks with low uncertainty about risk by 8% per year. This vol-of-vol effect is distinct from (combinations of) at least 20 previously documented return predictors, survives many robustness checks, and holds in the United States and across European stock markets. We empirically explore the pricing mechanism behind the vol-of-vol effect. The evidence points toward preference-based explanations and away from alternative explanations. Collectively, our results show that uncertainty about risk is highly relevant for stock prices.
Inside debt compensation held by top officers of U.S. banks is negatively related to risk and risk taking. The evidence reveals a robust and strongly negative relation between endof-2006 inside debt and 2007-2009 bank-specific risk exposures in terms of lost stock market value, volatility, tail risk, and the probability of financial distress. Banks with managers having large inside debt holdings are also characterized by better-quality assets, more conservative balance sheet management, and a stronger tendency toward traditional banking activities. The results suggest that debt-based compensation limits bank risk and risk taking by encouraging more conservative decision making.
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AbstractThis paper shows that the conditionality of investment decisions in R&D has a critical impact on portfolio risk, and implies that traditional diversication strategies should be reevaluated when a portfolio is constructed. Real option theory argues that research projects have conditional or option-like risk and return properties, and are dierent from unconditional projects. Although the risk of a portfolio always depends on the correlation between projects, a portfolio of conditional R&D projects with real option characteristics has a fundamentally dierent risk than a portfolio of unconditional projects. When conditional R&D projects are negatively correlated, diversication only slightly reduces portfolio risk. When projects are positively correlated, however, diversication proves more eective than conventional tools predict.
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