I use classification-based machine-learning methods to decompose 32 anomaly payoffsinto risk exposures and mispricing. The component driven by risk earns statistically insignificantreturns, despite its efficacy in explaining the time-series variation in anomaly payoffs.The mispricing component...

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...

Sudden and rapid changes in the economy leads to an increase in volatility. The fact that high volatility in financial markets brings along an increase in risk made it necessary to model it. Modeling volatility, which is accepted as a measure of risk, will benefit investors in their attitudes...

Whereas conventional wisdom argues that markets shut down during crises, with sellers struggling to find buyers, we find that markets continue to operate during financial turmoil, even in narrow and volatile emerging economies. Simple event studies indicate that both trading volume and trading...

Whereas conventional wisdom argues that markets shut down during crises, with sellers struggling to find buyers, we find that markets continue to operate during financial turmoil, even in narrow and volatile emerging economies. Simple event studies indicate that both trading volume and trading...

In the past decades financial markets rapidly gained on complexity due to an increased demand for risk diversification and hedging. A number of sophisticated instruments was developed that capture various aspects of price movements, correlations of assets, macro-economic developments, and other...

This paper derives a multiple-factor asset pricing model with asset price bubbles in an arbitrage-free, competitive, and frictionless market. As such it generalizes existing asset pricing models, all of which implicitly assume asset price bubbles do not exist. This generalization leads to two...

We incorporate trading fees in a long-horizon dynamic general-equilibrium model in which traders optimally and endogenously decide when and how much to trade. A full characterization of equilibrium is provided, which allows us to study the dynamics of equilibrium trades, equilibrium asset prices...

We explore how disclosure requirements that regulate the release of new information may affect the dynamics of financial markets. Our analysis is based on three agent-based financial market models that are able to produce realistic financial market dynamics. We discover that the average...