INNOVATIVE METHODS TO MEASURE THE MARKET RISK OF THE FOREX MARKET
dc.contributor.author | TODOROV, Teodor | |
dc.date.accessioned | 2019-01-13T18:13:56Z | |
dc.date.accessioned | 2019-01-13T18:13:56Z | |
dc.date.available | 2019-01-13T18:13:56Z | |
dc.date.available | 2019-01-13T18:13:56Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0323-9004 | |
dc.identifier.uri | http://hdl.handle.net/10610/4032 | |
dc.description.abstract | The 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.publisher | Tsenov Publishing House | EN_en |
dc.relation.ispartofseries | 4;4 | |
dc.subject | market risk | us_US |
dc.subject | FOREX | us_US |
dc.subject | simulation model | us_US |
dc.subject | VaR models | us_US |
dc.title | INNOVATIVE METHODS TO MEASURE THE MARKET RISK OF THE FOREX MARKET | us_US |
dc.type | Article | us_US |