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Markov switching GARCH models of currency turmoil in Southeast Asia

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  • Brunetti, Celso
  • Scotti, Chiara
  • Mariano, Roberto S.
  • Tan, Augustine H.H.

Abstract

This paper analyzes exchange rate turmoil with a Markov switching GARCH model. We distinguish between two different regimes in both the conditional mean and the conditional variance: "ordinary" regime, characterized by low exchange rate changes and low volatility, and "turbulent" regime, characterized by high exchange rate devaluation and high volatility. We also allow the transition probabilities to vary over time as functions of economic and financial indicators. We find that real effective exchange rates, money supply relative to reserves, stock index returns, and bank stock index returns and volatility contain valuable information for identifying turbulent and ordinary periods.

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Bibliographic Info

Article provided by Elsevier in its journal Emerging Markets Review.

Volume (Year): 9 (2008)
Issue (Month): 2 (June)
Pages: 104-128

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Handle: RePEc:eee:ememar:v:9:y:2008:i:2:p:104-128

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Web page: http://www.elsevier.com/locate/inca/620356

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Citations

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Cited by:
  1. Wajih Khallouli & René Sandretto, 2012. "Testing for “contagion” of the subprime crisis on the Middle East and North African stock markets : A Markov Switching EGARCH approach," Post-Print halshs-00522683, HAL.
  2. Humala, Alberto & Rodríguez, Gabriel, 2009. "Foreign Exchange Intervention and Exchange Rate Volatility in Peru," Working Papers 2009-008, Banco Central de Reserva del Perú.
  3. Khaled Guesmi & Frédéric Teulon & Zied Ftiti, 2013. "Sudden Changes in Volatility in European Stock Markets," Working Papers 2013-032, Department of Research, Ipag Business School.
  4. Frömmel, Michael, 2006. "Volatility Regimes in Central and Eastern European Countries' Exchange Rates," Hannover Economic Papers (HEP) dp-333, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  5. Martín Solá & Zacharias Psaradakis & Fabio Spagnolo & Nicola Spagnolo, 2010. "Some Cautionary Results Concerning Markov-Switching Models with Time-Varying Transition Probabilities," Department of Economics Working Papers 2010-12, Universidad Torcuato Di Tella.
  6. Kim Liow & Zhiwei Chen & Jingran Liu, 2011. "Multiple Regimes and Volatility Transmission in Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 295-328, April.
  7. Giampiero M. Gallo & Edoardo Otranto, 2007. "Volatility transmission across markets: a Multichain Markov Switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 17(8), pages 659-670.
  8. Walid, Chkili & Chaker, Aloui & Masood, Omar & Fry, John, 2011. "Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach," Emerging Markets Review, Elsevier, vol. 12(3), pages 272-292, September.
  9. repec:ipg:wpaper:32 is not listed on IDEAS

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