-of-sample volatility of optimized portfolios from each model. A few factors capture the general covariance structure but adding more … yield similar results. Using a tracking error volatility criterion, larger differences appear, with particularly favorable …

unconditional moments of asset returns, imply a lower bound on the volatility of the intertemporal marginal rate of substitution. We … short time series of consumption data undermines the ability of tests that use the restrictions implied by the volatility …

We show that firms' idiosyncratic volatility obeys a strong factor structure and that shocks to the common factor in … idiosyncratic volatility (CIV) are priced. Stocks in the lowest CIV-beta quintile earn average returns 5.4% per year higher than … heterogeneous-agent model. In the model, CIV is a priced state variable because an increase in idiosyncratic firm volatility raises …

information-based model demonstrates that the correlation of beliefs implied by analyst forecasts leads to return correlations … broadly in line with the data, both in levels and across countries - the correlation between predicted and actual is 0.63. Our … findings have implications for market-wide volatility - the model-implied correlations alone can explain 44% of the cross …

macro factors are still important in fitting bond return volatility; whereas the "variance premium" is critical in … explaining stock return volatility. However, the factor model primarily fails in fitting covariances …

We perform an experimental study of complexity to assess its effect on trading behavior, price volatility, liquidity …. Complexity altered subjects' bidding strategies, decreased liquidity, increased price volatility, and decreased trade efficiency … complex treatment. Our analysis suggests that complexity may be a driver of volatility and liquidity in financial markets and …

about both market volatility and trading activity …