In discussions and critiques on the validity of the Efficient Market Hypothesis, there are two important research focuses: statistical analyses showing that the basic assumption of statistical independence in price series is violated and empirical findings that show that significant market...

High idiosyncratic volatility (IV) stocks follow predictable return pattern after exhibiting large ex ante returns: a period of underreaction and low returns is superseded by persistent high returns. This pattern is robust and economically significant: it may be interpreted as informationally...

Compared with the market, value, or size factors, momentum has offered investors the highest Sharpe ratio. However, momentum has also had the worst crashes, making the strategy unappealing to investors who dislike negative skewness and kurtosis. We find that the risk of momentum is highly...

I first show that taking moving averages of the term spread, the dividend yield, and the Shiller’s CAPE, significantly increases their ability to predict one month and 12-month forward equity market excess returns, and the state of the business cycle. Dividend yield, CAPE and term spread are...

This chapter presents an empirical application of Bayesian MCMC estimation to the three main asset pricing models in use in the financial econometrics literature, namely, the Capital Asset Pricing Model (CAPM), the Fama-French (1992) three-factor model, and the Carhart (1997) four-factor model...

Three concepts: stochastic discount factors, multi-beta pricing and mean-variance efficiency, are at the core of modern empirical asset pricing. This chapter reviews these paradigms and the relations among them, concentrating on conditional asset-pricing models where lagged variables serve as...

The goal of this paper is to assess, for the first time, the empirical impact of "Kaynes' beauty contest", or "higher order belief", on asset price volatility. The paper shows that heterogeneous expectations induce higher order beliefs and that heterogeneous expectation asset pricing models...

This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM). It is shown how the procedure can be generalized to deal with large dimensional systems by means of a two-step strategy. The finite...

We introduce a new class of momentum strategies, the risk-adjusted time series momentum (RAMOM) strategies, which are based on averages of past futures returns, normalized by their volatility. We test these strategies on a universe of 64 liquid futures contracts and show that RAMOM strategies...

We consider two forms of volatility weighting (own volatility and underlying asset volatility) applied to cross-sectional and time-series momentum strategies. We present some simple theoretical results for the Sharpe ratios of weighted strategies and show empirical results for momentum...