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an investor who starts with a logarithmic utility and applies a quadratic penalty function. The investor builds a … dynamical estimate of the market price of risk and updates her stochastic utility in accordance with the so-perceived elapsed …
Persistent link: https://www.econbiz.de/10013072977
The optimal growth of a wealth process toward a goal is studied under ambiguous markets with first- and second-order moment uncertainties relating to stock returns. Optimal strategies and value functions are solved explicitly. A verification theorem is proved to show that the results solve the...
Persistent link: https://www.econbiz.de/10012825179
We develop a new approach to identify model misspecifications based on Minimum Discrepancy (MD) projections that correct asset pricing models with the use of nonlinear functions of basis assets returns. These nonlinear corrections make our method more effective than the Hansen and Jagannathan...
Persistent link: https://www.econbiz.de/10013128539
This paper introduces a new modelling framework for energy spot prices based on Lévy semistationary processes. Lévy … models can be embedded into our novel modelling framework …
Persistent link: https://www.econbiz.de/10013144201
Ambit processes are general stochastic processes based on stochastic integrals with respect to Lévy bases. Due to their flexible structure, they have great potential for providing realistic models for various applications such as in turbulence and finance. This papers studies the connection...
Persistent link: https://www.econbiz.de/10013144202
We develop a new approach to evaluate asset pricing models (APMs) based on Minimum Discrepancy (MD) projections that generalize the Hansen-Jagannathan (HJ, 1997) distance to account for an arbitrary number of moments of asset returns. The Minimum Discrepancy projections correct APMs to become...
Persistent link: https://www.econbiz.de/10013147434
We compare Bayesian and sample theory model specification criteria. For the Bayesian criteria we use the deviance information criterion and the cumulative density of the mean squared errors of forecast. For the sample theory criterion we use the conditional Kolmogorov test. We use Markov chain...
Persistent link: https://www.econbiz.de/10013078996
We review and construct consistent in-sample specification and out-of-sample model selection tests on conditional distributions and predictive densities associated with continuous multifactor (possibly with jumps) and (non)linear discrete models of the short term interest rate. The results of...
Persistent link: https://www.econbiz.de/10009130742
We compare Bayesian and sample theory model specification criteria. For the Bayesian criteria we use the deviance information criterion and the cumulative density of the mean squared errors of forecast. For the sample theory criterion we use the conditional Kolmogorov test. We use Markov chain...
Persistent link: https://www.econbiz.de/10009151894
This paper discusses the econometric methodology of general-to-specific modeling, in which the modeler simplifies an … of reduction, summarizes the approach of general-to-specific modeling, and discusses the econometrics of model selection …, noting that general-to-specific modeling is the practical embodiment of reduction. This paper then summarizes fifty …
Persistent link: https://www.econbiz.de/10014062671