In this paper, I develop a model in which risk-averse investors possess private information regarding both a stock's expected payoff and its risk. These investors trade in the stock and a derivative whose payoff is driven by the stock's risk. In equilibrium, the derivative is used to speculate...

In this paper, we revisit the myths regarding the superior performance of market timing strategies based on moving average and time-series momentum rules. These active timing strategies are very appealing to investors because of their extraordinary simplicity and because they promise substantial...

Data obtained from monthly Gallup/UBS surveys from 1998-2007 and from a special supplement to the Michigan Surveys of Consumer Attitudes, run in 22 monthly surveys between 2000-2005, are used to analyze stock market beliefs and portfolio choices of household investors. We show that the key...

We develop a structural econometric model to elicit household-specific expectations about future financial asset returns and risk attitudes by using data on observed portfolio holdings and self-assessed willingness to bear financial risk. Our framework assumes that household portfolios are...

Many models of investor behavior predict that investors prefer assets that they believe to have positively skewed return distributions. We provide a direct test of this prediction in a representative sample of the Dutch population. Using individual-level data on return expectations for a broad...

Present market instabilities have prompted great interest on the characteristics of specific portfolios such as minimum variance and equally- weighted risk contribution portfolios as these portfolios do not rely on the estimate of expected returns. Indeed, in turmoil periods traditional market...

Financial volatility risk is addressed through a multiple round evolutionary quantum game equilibrium leading to Multifractal Self-Organized Criticality (MSOC) in the financial returns and in the risk dynamics. The model is simulated and the results are compared with financial volatility data

We propose a new methodology for predicting international stock returns and evaluating international asset pricing models. Our Bayesian framework performs probabilistic selection of predictors and factors that can shift at multiple unknown structural break dates. The approach generates...