Estimation of foreign exchange market risk exposure
The study looks at the unexpected volatility in the foreign exchange market to determine the market risk exposure of the Philippine peso to the US dollar focusing on expected shortfall (ES). Estimates between historical and extreme value approach are compared. Peak-over-threshold (PoT) and block max...
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2020
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oai:animorepository.dlsu.edu.ph:faculty_research-110912023-11-10T00:26:07Z Estimation of foreign exchange market risk exposure Bersola, Mary Cliedy Angelie I. Tiu, Tomas S. The study looks at the unexpected volatility in the foreign exchange market to determine the market risk exposure of the Philippine peso to the US dollar focusing on expected shortfall (ES). Estimates between historical and extreme value approach are compared. Peak-over-threshold (PoT) and block maxima (BM) techniques are employed to obtain the extreme observations with results showing that the former method is more reliable on risk estimation. Backtesting the model using the Traffic Light Approach, results show that the expected shortfall falls under the Green zone with no values exceeds the risk estimate throughout the year. This study is beneficial for traders in oversold position to manage their possible losses. 2020-07-28T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11265 Faculty Research Work Animo Repository Foreign exchange market Risk Finance and Financial Management |
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De La Salle University |
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De La Salle University Library |
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Asia |
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Philippines Philippines |
| content_provider |
De La Salle University Library |
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DLSU Institutional Repository |
| topic |
Foreign exchange market Risk Finance and Financial Management |
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Foreign exchange market Risk Finance and Financial Management Bersola, Mary Cliedy Angelie I. Tiu, Tomas S. Estimation of foreign exchange market risk exposure |
| description |
The study looks at the unexpected volatility in the foreign exchange market to determine the market risk exposure of the Philippine peso to the US dollar focusing on expected shortfall (ES). Estimates between historical and extreme value approach are compared. Peak-over-threshold (PoT) and block maxima (BM) techniques are employed to obtain the extreme observations with results showing that the former method is more reliable on risk estimation. Backtesting the model using the Traffic Light Approach, results show that the expected shortfall falls under the Green zone with no values exceeds the risk estimate throughout the year. This study is beneficial for traders in oversold position to manage their possible losses. |
| format |
text |
| author |
Bersola, Mary Cliedy Angelie I. Tiu, Tomas S. |
| author_facet |
Bersola, Mary Cliedy Angelie I. Tiu, Tomas S. |
| author_sort |
Bersola, Mary Cliedy Angelie I. |
| title |
Estimation of foreign exchange market risk exposure |
| title_short |
Estimation of foreign exchange market risk exposure |
| title_full |
Estimation of foreign exchange market risk exposure |
| title_fullStr |
Estimation of foreign exchange market risk exposure |
| title_full_unstemmed |
Estimation of foreign exchange market risk exposure |
| title_sort |
estimation of foreign exchange market risk exposure |
| publisher |
Animo Repository |
| publishDate |
2020 |
| url |
https://animorepository.dlsu.edu.ph/faculty_research/11265 |
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1795381022296113152 |