METRIZATION OF STOCHASTIC DOMINANCE RULES
We consider a new approach towards stochastic dominance rules which allows measuring the degree of domination or violation of a given stochastic order and represents a way of describing stochastic orders in general. Examples are provided for the n-th order stochastic dominance and stochastic orders...
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Veröffentlicht in: | International Journal of Theoretical and Applied Finance (IJTAF) 2012-03, Vol.15 (2), p.1250017-1-1250017-22 |
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container_title | International Journal of Theoretical and Applied Finance (IJTAF) |
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creator | STOYANOV, STOYAN V. RACHEV, SVETLOZAR T. FABOZZI, FRANK J. |
description | We consider a new approach towards stochastic dominance rules which allows measuring the degree of domination or violation of a given stochastic order and represents a way of describing stochastic orders in general. Examples are provided for the n-th order stochastic dominance and stochastic orders based on a popular risk measure. We demonstrate how the new approach can be used for construction of portfolios dominating a given benchmark prospect. |
doi_str_mv | 10.1142/S0219024912500173 |
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Examples are provided for the n-th order stochastic dominance and stochastic orders based on a popular risk measure. We demonstrate how the new approach can be used for construction of portfolios dominating a given benchmark prospect.</description><subject>almost stochastic orders</subject><subject>Applied economics</subject><subject>average value-at-risk</subject><subject>Benchmarking</subject><subject>Mathematical finance</subject><subject>Metrization</subject><subject>Portfolio selection</subject><subject>quasi-semimetrics</subject><subject>Risk theory</subject><subject>Stochastic dominance</subject><subject>Stochastic processes</subject><issn>0219-0249</issn><issn>1793-6322</issn><issn>1793-6322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNplUMtOg0AUnRhNbGo_wB1LXaDzYIbOkiC1JG1JCk2Mm8kAQxxDCzKttX_vEHwsuriP5DzuyQXgFsEHhDz8mEKMOMQeR5hCiHxyAUbI58RlBONLMOpht8evwcQYnUPEGaGYkRG4X0bZOn4NsjhZOcnMSbMknAdpFofOU7KMV8EqjJz1ZhGlN-CqkrVRk585BptZlIVzd5E8x2GwcAuPMeJKn_ASMe4VVUXLnEtIJSc-h4RzVlBIJCqYR5lNyWGlpgQpRkteln6eyzKnZAzuBt-2az4OyuzFVptC1bXcqeZgBLLpp77v-cRS0UAtusaYTlWi7fRWdidLEv1nxNlnrOZl0HSqVcWf4Gi0ft_L6kt8ChuR2nayhSHCdmhbsF_aHhysBBK_G8bibb-11nCwPjZdXZpCq91eV_r_yHmab4h3e50</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>STOYANOV, STOYAN V.</creator><creator>RACHEV, SVETLOZAR T.</creator><creator>FABOZZI, FRANK J.</creator><general>World Scientific Publishing Company</general><general>World Scientific Publishing Co. 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source | World Scientific Journals (Tsinghua Mirror); RePEc; World Scientific Journals |
subjects | almost stochastic orders Applied economics average value-at-risk Benchmarking Mathematical finance Metrization Portfolio selection quasi-semimetrics Risk theory Stochastic dominance Stochastic processes |
title | METRIZATION OF STOCHASTIC DOMINANCE RULES |
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