Suppose a fund manager uses predictors in changing port-folio allocations over time. How does predictability translate into portfolio decisions? To answer this question we derive a new model within the Bayesian framework, where managers are assumed to modulate the systematic risk in part by...

We develop a discrete-time stochastic volatility option pricing model, which exploits the information contained in high-frequency data. The Realized Volatility (RV) is used as a proxy of the unobservable log-returns volatility. We model its dynamics by a simple but effective (pseudo) long memory...

We develop an econometric methodology to infer the path of risk premia from large unbalanced panel of individual stock returns. We estimate the time-varying risk premia implied by conditional linear asset pricing models where the conditioning includes instruments common to all assets and asset...

We investigate the evidence for structural breaks in the parameters of autoregressive models of U.S. post-war macroeconomic time series. There is substantial model uncertainty associated with such models, including uncertainty related to lag selection, the number of structural changes, and the...

We document the predictive ability and economic significance of global economic policy uncertainty for U.S. equity returns. After orthogonalizing global economic policy uncertainty (global EPU) with respect to the U.S. EPU, we find that it has significant predictive power for aggregate stock...

I examine which economic uncertainty measures matter for the cross-section of corporate bond returns using 40 corporate bond portfolios for a long period from 1973 to 2020. Out of a comprehensive list of 24 economic uncertainty measures, I find that tax policy uncertainty is the most significant...

This paper proposes estimating β in the capital asset pricing model (CAPM) using a functional data analysis approach. After explicitly deriving parameter estimates and a prediction function for a functional CAPM, this paper compares the predictive power of the functional CAPM against two...

Understanding the nature of credit risk has important implications for financial stability. Since authorities notably, central banks focus on risks that have systemic implications, it is crucial to develop ways to measure these risks. The difficulty lies in finding reliable measures of aggregate...

From 1973 to 2014, the common stock of U.S. banks with loan growth in the top quartile of banks over a three-year period significantly underperforms the common stock of banks with loan growth in the bottom quartile over the next three years. The benchmark-adjusted cumulative difference in...

This paper argues that first passage time models are likely to better than affine hazard rate models in modelling stressed credit markets and confirms their superior performance in explaining the behavior of Credit Default Swap rates for the major US banking groups over the period of the...