Momentum is a pervasive asset-pricing anomaly that has been shown to exist in a number of markets and asset classes. Three possible explanations for momentum have emerged in the literature; risk, positive autocorrelation and negative cross-serial correlation. Lewellen (2002) adds to this...

We examine whether real-time return forecasts are valuable to an investor looking to allocate their portfolio across a wide selection of countries. We expand the Sum-of-Parts (SoP) method for forecasting stock returns to an international setup by adding FX returns as an additional component. We...

We extend proxies of the main asset allocation approaches back to 1926 using long-run return data for a variety of sub-asset classes and factors and test the long-term performance of U.S. and Global 60/40, Diversified Multi-Asset, Risk Parity, Endowment, Factor-Based and Dynamic Asset Allocation...

This paper is aimed at presenting application of bootstrap interval estimation methods to the assessment of financial investment’s effectiveness and risk. At first, we give an overview of various methods of bootstrap confidence interval estimation, i.e. bootstrap-t interval, percentile...

Any time series can be decomposed into cyclical components fluctuating at different frequencies. Accordingly, in this paper we propose a method to forecast the stock market's equity premium which exploits the frequency relationship between the equity premium and several predictor variables. We...

This paper uses the correlation of money flow among mutual funds to forecast the skewness of stock returns. We show that asset returns are highly negatively skewed when their mutual fund owners experience correlated liquidity shocks. In addition, stocks with high mutual fund ownership are more...

This paper shows how uncertainty about the type of return distribution (distribution uncertainty) can be incorporated in asset allocation decisions by using a novel, Bayesian semiparametric approach. To evaluate the economic importance of distribution uncertainty, the extent of changes in...

We re-examine US mutual fund performance persistence. We investigate persistence (i) using both “academic” factor models and “practitioner” index models, (ii) using decile-size recursive portfolios and also portfolios formed from smaller numbers of funds, (iii) using nonparametric...

Empirical research on the benefits of investing in inflation-linked bonds usually relies on a limited number of observations due to the relatively recent introduction of these assets. We estimate models for the break-even inflation rate and use these to create hypothetical inflation-linked bond...

Cross-predictability denotes the fact that some assets can predict other assets' returns. I propose a novel performance-based measure that disentangles the economic value of cross-predictability into two components: the predictive power of one asset's signal for other assets' returns...