Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh

This paper examined the volatility models for exchange rate return, including Random Walk model, AR model, GARCH model and extensive GARCH model, with Normal and Student-t distribution assumption as well as nonparametric specification test of these models. We fit these models to Bangladesh foreign e...

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Main Authors: Laila Arjuman Ara, Mohammad Masudur Rahman
Format: Article
Language:English
Published: Emerald Publishing 2013-12-01
Series:Journal of International Logistics and Trade
Online Access:https://www.emerald.com/insight/content/doi/10.24006/jilt.2013.11.3.19/full/pdf
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author Laila Arjuman Ara
Mohammad Masudur Rahman
author_facet Laila Arjuman Ara
Mohammad Masudur Rahman
author_sort Laila Arjuman Ara
collection DOAJ
description This paper examined the volatility models for exchange rate return, including Random Walk model, AR model, GARCH model and extensive GARCH model, with Normal and Student-t distribution assumption as well as nonparametric specification test of these models. We fit these models to Bangladesh foreign exchange rate index from January 1999 to December 31, 2012. The return series of Bangladesh foreign exchange rate are leptokurtic, significant skewness, deviation from normality as well as the returns series are volatility clustering as well. We found that student t distribution into GARCH model improves the better performance to forecast the volatility for Bangladesh foreign exchange market. The traditional likelihood comparison showed that the importance of GARCH model in modeling of Bangladesh foreign market, but the modern nonparametric specification test found that RW, AR and the model with GARCH effect are still grossly mis-specified. All these imply that there is still a long way before we reach the adequate specification for Bangladesh exchange rate dynamics.
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spelling doaj.art-f4959baf407444ec955d1e5e3c3bc43c2023-11-17T10:48:17ZengEmerald PublishingJournal of International Logistics and Trade1738-21222508-75922013-12-01113193910.24006/jilt.2013.11.3.19Volatility Modeling of Emerging Foreign Exchange Market: A Case of BangladeshLaila Arjuman Ara0Mohammad Masudur Rahman11School of Business Studies Southeast University, Dhaka, Bangladesh2Bangladesh Foreign Trade Institute, TCB Building, 1 Karwan Bazar, Dhaka, BangladeshThis paper examined the volatility models for exchange rate return, including Random Walk model, AR model, GARCH model and extensive GARCH model, with Normal and Student-t distribution assumption as well as nonparametric specification test of these models. We fit these models to Bangladesh foreign exchange rate index from January 1999 to December 31, 2012. The return series of Bangladesh foreign exchange rate are leptokurtic, significant skewness, deviation from normality as well as the returns series are volatility clustering as well. We found that student t distribution into GARCH model improves the better performance to forecast the volatility for Bangladesh foreign exchange market. The traditional likelihood comparison showed that the importance of GARCH model in modeling of Bangladesh foreign market, but the modern nonparametric specification test found that RW, AR and the model with GARCH effect are still grossly mis-specified. All these imply that there is still a long way before we reach the adequate specification for Bangladesh exchange rate dynamics.https://www.emerald.com/insight/content/doi/10.24006/jilt.2013.11.3.19/full/pdf
spellingShingle Laila Arjuman Ara
Mohammad Masudur Rahman
Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
Journal of International Logistics and Trade
title Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
title_full Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
title_fullStr Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
title_full_unstemmed Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
title_short Volatility Modeling of Emerging Foreign Exchange Market: A Case of Bangladesh
title_sort volatility modeling of emerging foreign exchange market a case of bangladesh
url https://www.emerald.com/insight/content/doi/10.24006/jilt.2013.11.3.19/full/pdf
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AT mohammadmasudurrahman volatilitymodelingofemergingforeignexchangemarketacaseofbangladesh