Several attempts have been made to reduce the impact of estimation errors on the optimalportfolio composition. On the one hand, improved estimators of the necessary momentshave been developed and on the other hand, heuristic methods have been generated to enhancethe portfolio performance, for...

Consider the problem of testing s hypotheses simultaneously. In this paper, we derivemethods which control the generalized familywise error rate given by the probability ofk or more false rejections, abbreviated k-FWER. We derive both single-step and stepdownprocedures that control the k-FWER in...

We provide a representation for the nonmyopic optimal portfolio of an agentconsuming only at the terminal horizon when the single state variable follows ageneral diusion process and the market consists of one risky asset and a risk-freeasset. The key term of our representation is a new object...

Can one define and test the hypothesis of (un)bounded rationality instochastic choice tasks without endorsing Bayesianism? Similar to the state specificity of assets, we rely on state-specific goal formation. In a given choice task, the list of state-specific goal levels is optimal if one cannot...

We experimentally explore individual and interactive decision making ina sequential search task and test whether generally accepted principles ofbounded rationality (aspiration formation, satisficing, and aspiration adjustment)adequately explain the observed search behavior. Subjects can, at...

In this paper a set of ten different single-equation models of household energy demand is being analyzed. These simple models are being derived by the imposition of linear parameter restrictions on a fairly general autoregressive distributed lag (ADL) model in log-linear form. Household energy...

This paper analyzes the higher-order properties of nested pseudo-likelihood (NPL) estimators and their practical implementation for parametric discrete Markov decision models in which the probability distribution is defined as a fixed point. We propose a new NPL estimator that can achieve...

This paper presents a general statistical framework for estimation, testing, and comparison of asset pricing models using the unconstrained distance measure of Hansen and Jagannathan (1997). The limiting results cover both linear and nonlinear models that could be correctly specified or...

We provide an in-depth analysis of the theoretical and statistical properties of the Hansen-Jagannathan (HJ) distance that incorporates a no-arbitrage constraint. We show that for stochastic discount factors (SDF) that are spanned by the returns on the test assets, testing the equality of HJ...