This paper provides a comprehensive economic evaluation of the short-horizon predictive ability of liquidity on monthly stock returns, using dynamic asset allocation strategies. We assess the economic value of the out-of-sample power of empirical models based on different liquidity measures and...

Existing studies on interest rate forecasting either treat yields as being stationary around a fixed mean or as a random walk process. In this study we consider forecasting the term structure of interest rates with the assumption that the yield curve is driven by factors that are stationary...

We extend the class of dynamic factor yield curve models for the inclusion of macro-economic factors. We benefit from recent developments in the dynamic factor literature for extracting the common factors from a large panel of macroeconomic series and for estimating the parameters in the model....

We consider the dynamic factor model and show how smoothness restrictions can be imposed on factor loadings by using cubic spline functions. We develop statistical procedures based on Wald, Lagrange multiplier and likelihood ratio tests for this purpose. The methodology is illustrated by...

We develop a new empirical approach to term structure analysis that allows testing for time-varying risk premiums and arbitrage opportunities in models with both unobservable factors and factors identified as the innovations to observed macroeconomic variables. Factors may play double roles as...

In this paper we study what professional forecasters predict. We use spectral analysis and state space modeling to decompose economic time series into a trend, business-cycle, and irregular component. To examine which components are captured by professional forecasters, we regress their...

Literature studying comovement in commodity prices provides mixed evidence for whether commodity markets are segmented or driven by common factors. We provide a joint framework to study comovement across 24 of the most traded commodities over 20 years. The framework benefits from using the whole...

We investigate the added value of combining density forecasts focused on a specific region of support. We develop forecast combination schemes that assign weights to individual predictive densities based on the censored likelihood scoring rule and the continuous ranked probability scoring rule...

We study why a majority of trades happen during the pit hours, i.e. when the trading pit is open. We examine the case of 30-year U.S. Treasury futures. The pit hour activity clustering cannot be explained by the informativeness of pit trading or the liquidity. Instead, a feedback mechanism...

The implied volatility surface is the collection of volatilities implied by option contracts for different strike prices and time-to-maturity. We study factor models to capture the dynamics of this three-dimensional implied volatility surface. Three model types are considered to examine...