Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)

In this study, volatility of the TRL/USD, TRL/EUR and TRL/GBP series in the Turkish exchange rate market are modeled by employing moving average, AR, ARMA models and ARCH process and the performances of the models are compared according to their out-of-sample forecasts. The forecasting performance o...

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Main Authors: Uğur SOYTAŞ, Özlem Serpil ÜNAL
Format: Article
Language:deu
Published: Celal Bayar University 2010-01-01
Series:Yönetim ve Ekonomi
Subjects:
Online Access:http://www2.bayar.edu.tr/yonetimekonomi/dergi/pdf/C17S12010/121_146.pdf
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author Uğur SOYTAŞ
Özlem Serpil ÜNAL
author_facet Uğur SOYTAŞ
Özlem Serpil ÜNAL
author_sort Uğur SOYTAŞ
collection DOAJ
description In this study, volatility of the TRL/USD, TRL/EUR and TRL/GBP series in the Turkish exchange rate market are modeled by employing moving average, AR, ARMA models and ARCH process and the performances of the models are compared according to their out-of-sample forecasts. The forecasting performance of the Value-at-Risk measurement based on different volatility forecasting models are investigated by adopting the Basle Committee back testing criteria. The effect of the latest global financial crisis on the risk measurement techniques is investigated. The results showed that, according to RMSE criteria GARCH family models and according to MAE criteria AR models are superior to other models in estimating the exchange rate volatility. It is observed that the financial crisis does not too much effect on the order of the volatility forecasting models; however, the performances of the models converge to the worst performing model during the financial crisis period. When the Value-at-Risk performances of the underlying models are compared EWMA and GARCH family models are found to be more accurate than other models. It is seen that the performances of the models are worsen with the financial crisis.
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spelling doaj.art-9e6eeaca3cc94d518a180d9acea1705c2023-02-15T16:08:09ZdeuCelal Bayar UniversityYönetim ve Ekonomi1302-00642010-01-01171121145Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)Uğur SOYTAŞÖzlem Serpil ÜNALIn this study, volatility of the TRL/USD, TRL/EUR and TRL/GBP series in the Turkish exchange rate market are modeled by employing moving average, AR, ARMA models and ARCH process and the performances of the models are compared according to their out-of-sample forecasts. The forecasting performance of the Value-at-Risk measurement based on different volatility forecasting models are investigated by adopting the Basle Committee back testing criteria. The effect of the latest global financial crisis on the risk measurement techniques is investigated. The results showed that, according to RMSE criteria GARCH family models and according to MAE criteria AR models are superior to other models in estimating the exchange rate volatility. It is observed that the financial crisis does not too much effect on the order of the volatility forecasting models; however, the performances of the models converge to the worst performing model during the financial crisis period. When the Value-at-Risk performances of the underlying models are compared EWMA and GARCH family models are found to be more accurate than other models. It is seen that the performances of the models are worsen with the financial crisis.http://www2.bayar.edu.tr/yonetimekonomi/dergi/pdf/C17S12010/121_146.pdfDöviz Kuru Oynaklık ÖngörüsüTürkiye Döviz PiyasalarıGARCH/EGARCH/GJR-GARCH ModelleriValue-at-RiskExchange Rate Volatility ForecastingTurkish Foreign Exchange MarketGARCH/EGARCH/GJR-GARCH ModelsValue-at-Risk
spellingShingle Uğur SOYTAŞ
Özlem Serpil ÜNAL
Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
Yönetim ve Ekonomi
Döviz Kuru Oynaklık Öngörüsü
Türkiye Döviz Piyasaları
GARCH/EGARCH/GJR-GARCH Modelleri
Value-at-Risk
Exchange Rate Volatility Forecasting
Turkish Foreign Exchange Market
GARCH/EGARCH/GJR-GARCH Models
Value-at-Risk
title Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
title_full Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
title_fullStr Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
title_full_unstemmed Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
title_short Türkiye Döviz Piyasalarında Oynaklığın Öngörülmesi ve Risk Yönetimi Kapsamında Değerlendirilmesi(Forecasting the Volatility in Turkish Exchange Markets and an Evaluation from a Risk Management Perspective)
title_sort turkiye doviz piyasalarinda oynakligin ongorulmesi ve risk yonetimi kapsaminda degerlendirilmesi forecasting the volatility in turkish exchange markets and an evaluation from a risk management perspective
topic Döviz Kuru Oynaklık Öngörüsü
Türkiye Döviz Piyasaları
GARCH/EGARCH/GJR-GARCH Modelleri
Value-at-Risk
Exchange Rate Volatility Forecasting
Turkish Foreign Exchange Market
GARCH/EGARCH/GJR-GARCH Models
Value-at-Risk
url http://www2.bayar.edu.tr/yonetimekonomi/dergi/pdf/C17S12010/121_146.pdf
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