Information inequalities in a general sequential model for stochastic processes are presented by applying the approach to estimation through estimating functions. Using this approach, Bayesian versions of the information inequalities are also obtained. In particular, exponential-family processes...

Information inequalities in a general sequential model for stochastic processes are presented by applying the approach to estimation through estimating functions. Using this approach, Bayesian versions of the information inequalities are also obtained. In particular, exponential-family processes...

An investor with the ability to assess the prospective return and risk structure of the global capital markets can construct portfolios that, over time, will not only outperform actively or passively managed domestic asset portfolios but will also outperform passively managed global portfolios....

Individual risk preferences can be identified by using decision models with tuned parameters that maximally fit a set of risky choices made by a decision maker. A goal of this model fitting procedure is to isolate parameters that correspond to stable risk preferences. These preferences can be...

We consider the properties of the maximum likelihood, Bayes and minimum distance estimates of the finite-dimensional parameter constructed by the observations of the process of diffusion type with the small coefficient of diffusion in the situation when the trend coefficients corresponding to...

Forecasting the mean returns vector and the covariance matrix is a key feature in implementing portfolio theory. The performance of the Bayes-Stein method for forecasting these parameters for use in the Markowitz model (with and without short sales) was compared with that of seven other...

This paper develops a new method for estimating the structural parameters of dynamic programming problems in which choices are discrete. The method reduces the computational burden of estimating such models. We show the valuation functions characterizing the expected future utility function...