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In an incomplete market we study the optimal consumption-portfolio decision of an investor with recursive preferences of Epstein-Zin type. Applying a classical dynamic programming approach, we formulate the associated Hamilton-Jacobi-Bellman equation and provide a suitable verification theorem....
Persistent link: https://www.econbiz.de/10013133474
If a given risky prospect is compared with multiple choice alternatives, then a joint test for optimality is more appropriate than a series of pairwise Stochastic Dominance tests. We develop and implement a bootstrap empirical likelihood ratio test for this hypothesis. The test statistic and...
Persistent link: https://www.econbiz.de/10012936941
This supplementary Technical Appendix contains formal proofs of the propositions which are stated in Anyfantaki, S., S. Arvanitis, S., Th. Post, Th. and N. Topaloglou, 2019, 'Stochastic Bounds for Portfolio Analysis', available at SSRN:"https://ssrn.com/abstract=3181869 "...
Persistent link: https://www.econbiz.de/10012848528
A framework is developed for portfolio optimization with higher-order Stochastic Dominance constraints. A finite system of restrictions on the lower partial moments can be used for evaluating the efficiency of a given benchmark and for constructing enhanced portfolios which dominate the...
Persistent link: https://www.econbiz.de/10012871881
In this paper, we provide a closed-form solution to an optimal portfolio execution problem with stochastic price impact and stochastic net demand pressure. Specifically, each trade of an investor has temporary and permanent price impacts, both of which are driven by a continuous-time Markov...
Persistent link: https://www.econbiz.de/10012859347
Intro -- Contents -- Preface -- Contributors -- Introduction -- Risk Management and Portfolio Optimization -- Importance Sampling and StratiEcation for Value-at-Risk -- ConEdence Intervals and Hypothesis Testing for the -- Sharpe and Treynor Performance Measures: -- A Bootstrap Approach --...
Persistent link: https://www.econbiz.de/10012680326
Quantity and price risks determine key uncertainties market participants face in electricity markets with increased volatility, for instance due to high shares of renewables. In the time from day-ahead until real-time, there lies a large variation in best available information, such as between...
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