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dc.contributor.authorTODOROV, Teodor
dc.date.accessioned2019-01-13T18:13:56Z
dc.date.accessioned2019-01-13T18:13:56Z
dc.date.available2019-01-13T18:13:56Z
dc.date.available2019-01-13T18:13:56Z
dc.date.issued2018
dc.identifier.issn0323-9004
dc.identifier.urihttp://hdl.handle.net/10610/4032
dc.description.abstractThe impact of market risk on the performance of economic agents is significant. The focus of this study is on the various models and techniques to quantify the market risk of the FOREX market. The results from the empirical testing of Monte Carlo simulation models, VaR, CVaR, MVaR, VaR historical simulation, and Delta Normal VaR indicate the presence of market risk in the Foreign exchange market. Of these models, the simulation model is the best measure of market risk. Historical simulation and Delta Normal VaR, on the other hand, help diversify risk by building investment portfolios.us_US
dc.publisherTsenov Publishing HouseEN_en
dc.relation.ispartofseries4;4
dc.subjectmarket riskus_US
dc.subjectFOREXus_US
dc.subjectsimulation modelus_US
dc.subjectVaR modelsus_US
dc.titleINNOVATIVE METHODS TO MEASURE THE MARKET RISK OF THE FOREX MARKETus_US
dc.typeArticleus_US


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