FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS?
In this paper we use model-free estimates of daily exchange rate volatilities employing high-frequency intraday data, known as Realized Volatility, which is then forecasted with ARMA-models and used to produce one-day-ahead Value-at-Risk predictions. The forecasting accuracy of the method is contras...
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Uppsala universitet, Statistiska institutionen
2011
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ndltd-UPSALLA1-oai-DiVA.org-uu-1465712013-01-08T13:29:13ZFORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS?engFallman, DavidWirf, JensUppsala universitet, Statistiska institutionenUppsala universitet, Statistiska institutionen2011Realized volatilityvolatility forecastingexchange rateshigh-frequency datavalue-at-riskStatisticsStatistikIn this paper we use model-free estimates of daily exchange rate volatilities employing high-frequency intraday data, known as Realized Volatility, which is then forecasted with ARMA-models and used to produce one-day-ahead Value-at-Risk predictions. The forecasting accuracy of the method is contrasted against the more widely used ARCH-models based on daily squared returns. Our results indicate that the ARCH-models tend to underestimate the Value-at-Risk in foreign exchange markets compared to models using Realized Volatility Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-146571application/pdfinfo:eu-repo/semantics/openAccess |
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language |
English |
format |
Others
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sources |
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Realized volatility volatility forecasting exchange rates high-frequency data value-at-risk Statistics Statistik |
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Realized volatility volatility forecasting exchange rates high-frequency data value-at-risk Statistics Statistik Fallman, David Wirf, Jens FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
description |
In this paper we use model-free estimates of daily exchange rate volatilities employing high-frequency intraday data, known as Realized Volatility, which is then forecasted with ARMA-models and used to produce one-day-ahead Value-at-Risk predictions. The forecasting accuracy of the method is contrasted against the more widely used ARCH-models based on daily squared returns. Our results indicate that the ARCH-models tend to underestimate the Value-at-Risk in foreign exchange markets compared to models using Realized Volatility |
author |
Fallman, David Wirf, Jens |
author_facet |
Fallman, David Wirf, Jens |
author_sort |
Fallman, David |
title |
FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
title_short |
FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
title_full |
FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
title_fullStr |
FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
title_full_unstemmed |
FORECASTING FOREIGN EXCHANGE VOLATILITY FOR VALUE AT RISK : CAN REALIZED VOLATILITY OUTPERFORM GARCH PREDICTIONS? |
title_sort |
forecasting foreign exchange volatility for value at risk : can realized volatility outperform garch predictions? |
publisher |
Uppsala universitet, Statistiska institutionen |
publishDate |
2011 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-146571 |
work_keys_str_mv |
AT fallmandavid forecastingforeignexchangevolatilityforvalueatriskcanrealizedvolatilityoutperformgarchpredictions AT wirfjens forecastingforeignexchangevolatilityforvalueatriskcanrealizedvolatilityoutperformgarchpredictions |
_version_ |
1716521945571262464 |