Showing 1 - 9 of 9
Firms often use non-linear incentive systems to motivate workers to achieve specified goals, such as paying bonuses to reach targets in sales, production, or cost reduction. Using administrative data from a major Chinese insurance firm that raised its sales targets and rewards for insurance...
Persistent link: https://www.econbiz.de/10012893583
Firms often use non-linear incentive systems to motivate workers to achieve specified goals, such as paying bonuses to reach targets in sales, production, or cost reduction. Using administrative data from a major Chinese insurance firm that raised its sales targets and rewards for insurance...
Persistent link: https://www.econbiz.de/10012479463
We fit U.S. stock market volatilities on macroeconomic and financial market indicators and some industry level financial ratios. Stock market volatility is non-Gaussian distributed. It can be approximated by an inverse Gaussian (IG) distribution or it can be transformed by Box-Cox transformation...
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We construct a measure of abnormal relative attention (ARA), reflecting unusual changes in attention paid to a stock by local relative to non-local investors, to measure local information advantages. An increase in this measure predicts higher returns in the short term. This predictive power is...
Persistent link: https://www.econbiz.de/10013005876
This paper documents a new high risk-low return puzzle. Specfically, we find that a forward-looking risk measure extracted from credit line undrawn spreads negatively predicts borrowers' future stock returns. This negative risk-return relation is separate from previously documented asset pricing...
Persistent link: https://www.econbiz.de/10012900671
This paper documents novel evidence that private debt contains value-relevant nonpublic information with significant economic value. We extract banks' private information from term loan spreads. Abnormal loan spreads significantly predict firms' future operating performance and uncertainty...
Persistent link: https://www.econbiz.de/10012839812