RT Report
T1 A Stochastic Dominance Approach to Financial Risk Management Strategies
A1 Chang, Chia-Lin
A1 Jiménez Martín, Juan Ángel
A1 Maasoumi, Esfandiar
A1 Pérez Amaral, Teodosio
AB The Basel III Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one of a range of alternative risk models to forecast Value-at-Risk (VaR). The risk estimates from these models are used to determine the daily capital charges (DCC) and associated capital costs of ADIs, depending in part on the number of previous violations, whereby realized losses exceed the estimated VaR. In this paper we define risk management in terms of choosing sensibly from a variety of risk models and discuss the optimal selection of financial risk models. A previous approach to model selection for predicting VaR proposed combining alternative risk models and ranking such models on the basis of average DCC. This method is based only on the first moment of the DCC distribution, supported by a restrictive evaluation function. In this paper, we consider uniform rankings of models over large classes of evaluation functions that may reflect different weights and concerns over different intervals of the distribution of losses and DCC. The uniform rankings are based on recently developed statistical tests of stochastic dominance (SD). The SD tests are illustrated using the prices and returns of VIX futures. The empirical findings show that the tests of SD can rank different pairs of models to a statistical degree of confidence, and that the alternative (recentered) SD tests are in general agreement.
SN 2341-2356
YR 2014
FD 2014
LK https://hdl.handle.net/20.500.14352/41564
UL https://hdl.handle.net/20.500.14352/41564
LA eng
NO The authors are most grateful to Michael McAleer for many comments and suggestions. For financial support, the first author wishes to thank the National Science Council, Taiwan, and the second and fourth authors acknowledge the Ministerio de Economía y Competitividad and Comunidad de Madrid, Spain.
NO National Science Council, Taiwan
NO Ministerio de Economía y Competitividad and Comunidad de Madrid, Spain.
DS Docta Complutense
RD 28 dic 2025