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Despite their strong positive average returns across numerous asset classes, momentum strategies can experience infrequent and persistent strings of negative returns. These momentum crashes are partly forecastable. They occur in “panic” states – following market declines and when market volatility is high – and are contemporaneous with market rebounds. We show that the low ex-ante expected returns in panic states are consistent with a conditionally high premium attached to the option-like payoffs of past losers. An implementable dynamic momentum strategy based on forecasts of momentum's mean and variance approximately doubles the alpha and Sharpe Ratio of a static momentum strategy, and is not explained by other factors. These results are robust across multiple time periods, international equity markets, and other asset classes.
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We investigate the causes and consequences of financial regulation by studying the political economy of U.S. state usury laws in the 19th century. We find evidence that usury laws were binding and enforced and that lending activity was affected by rate ceilings. Exploiting the heterogeneity across states and time in regulation, enforcement, and market conditions, we find that regulation tightens when it is less costly and when it coexists with other economic and political restrictions that exclude certain groups. Furthermore, the same determinants of financial regulation that favor one group (and restrict others) are associated with higher (lower) future economic growth rates. The evidence suggests regulation is the outcome of private interests using the coercive power of the state to extract rents from other groups, highlighting the endogeneity of financial development and growth.
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We find consistent evidence of negative autocorrelation in decision-making that is unrelated to the merits of the cases considered in three separate high-stakes field settings: refugee asylum court decisions, loan application reviews, and major league baseball umpire pitch calls. The evidence is most consistent with the law of small numbers and the gambler's fallacy - people underestimating the likelihood of sequential streaks occurring by chance - leading to negatively autocorrelated decisions that result in errors. The negative autocorrelation is stronger among more moderate and less experienced decision-makers, following longer streaks of decisions in one direction, when the current and previous cases share similar characteristics or occur close in time, and when decision-makers face weaker incentives for accuracy. Other explanations for negatively autocorrelated decisions such as quotas, learning, or preferences to treat all parties fairly, are less consistent with the evidence, though we cannot completely rule out sequential contrast effects as an alternative explanation.
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