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The Jump Behavior of Foreign Exchange Market: Analysis of Thai Baht

Author

Listed:
  • Jow-Ran Chang

    (Department of Quantitative Finance, National Tsing Hua University, No. 101, Sec. 2, Kuang-Fu Rd., Hsinchu, Taiwan)

  • Mao-Wei Hung

    (College of Management, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan)

  • Cheng-Few Lee

    (Rutgers Business School, Rutgers University, New Jersey, USA)

  • Hsin-Min Lu

    (Eller College of Management, Univeristy of Arizona, Tucson, USA)

Abstract

We use square root stochastic volatility with or without jump model to study the heteroskedasticity and jump behavior of the Thai Baht. Bayesian factor is used to evaluate the explanatory power of competing model. It turns out that the square root stochastic volatility model with independent jump in observation and state equations (SVIJ) has the best explanatory power to our sample. Using the estimation results of the SVIJ model, we are able to link the major events of the Asian financial crisis to the jump behavior of either volatility or observation.

Suggested Citation

  • Jow-Ran Chang & Mao-Wei Hung & Cheng-Few Lee & Hsin-Min Lu, 2007. "The Jump Behavior of Foreign Exchange Market: Analysis of Thai Baht," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 265-288.
    • Handle: RePEc:wsi:rpbfmp:v:10:y:2007:i:02:n:s0219091507001069
    DOI: 10.1142/S0219091507001069
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    References listed on IDEAS

    as
    1. Eraker, Bjorn, 2002. "Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices," Working Papers 02-23, Duke University, Department of Economics.
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    Citations

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    Cited by:

    1. Konstantinos Gkillas & Rangan Gupta & Mark E. Wohar, 2020. "Oil shocks and volatility jumps," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 247-272, January.
    2. Sharif Mozumder & Ghulam Sorwar & Kevin Dowd, 2013. "Option pricing under non-normality: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 40(2), pages 273-292, February.
    3. Cheng-Few Lee & Oleg Sokolinskiy, 2015. "R-2GAM stochastic volatility model: flexibility and calibration," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 463-483, October.
    4. Chih-Chen Hsu & An-Sing Chen & Shih-Kuei Lin & Ting-Fu Chen, 2017. "The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(3), pages 819-848, April.
    5. Ahmed Hachicha & Fatma Hachicha & Afif Masmoudi, 2012. "A comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 479-493, May.
    6. Cheng Few Lee, 2020. "Financial econometrics, mathematics, statistics, and financial technology: an overall view," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1529-1578, May.

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    More about this item

    Keywords

    Asian financial crisis; foreign exchange market; jump behavior; Markov chain Monte Carlo; stochastic volatility;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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