We propose a novel measure of investment plans, namely, expected investment growth (EIG) and find stocks with high EIG outperform stocks with low EIG by 17% per annum. This premium can be generated in a neoclassical model with the investment plan friction, in which a firm's expected returns...

We examine the effects of estimation risk and Bayesian learning on equilibrium asset prices when there is uncertainty about both the first and second moments of consumption and dividend growth rates. For the 1891-2007 period, our model generates a sizable average annual equity premium,...

We apply Bayesian Model Averaging and a frequentistic model space analysis to assess the pricing-determinants of credit default swaps (CDS). Our study focuses on the complete model space of plausible models covering most of the variables and specifications used elsewhere in the literature,...

We propose an easy to implement yield curve extrapolation method to determine long-term interest rates suitable for regulatory valuation. We empirically evaluate this approach for the German nominal bond market, by estimating the model on bonds with maturities up to 20 years and assessing the...

High (low) quality stocks generate anomalously high (low) returns above and beyond expected returns based on betas, market sizes, valuations, and momentum. We provide a comprehensive overview of commonly used quality definitions and test their predictive power for stock returns. We show that...

The use of futures exchange contracts instead of forwards completes the maturity spectrum of the correlation between the spot yield and the premium. We find that the forward premium puzzle (FFP) depends significantly on the maturity horizon of the futures contract and the choice of sampling...

This study provides a solution of the equity premium puzzle. Questioning the validity of the Arrow-Pratt measure of relative risk aversion for detecting the risk behavior of investors under all conditions, a new tool, that is, the sufficiency factor of the model was developed to analyze the risk...