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Jump risk of Presidential election: evidence from Taiwan stock and foreign exchange markets

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  • Jui-Cheng Hung
  • Shi-Jie Jiang
  • Chien-Liang Chiu

Abstract

This article employs jump-diffusion models, including the ARJI model and the GARCH-jump model, to examine jump intensity and volatility of Taiwan stock and foreign exchange markets during a Presidential election period. The empirical results indicate that, firstly, the ARJI model fits data better than the GARCH-jump model. Secondly, the Presidential election events enhance the jump intensity of both markets and the jump-induced variance is higher than diffusion-induced variance. It reveals the importance of the discrete jump process during a Presidential election period, and might provide some implications for option pricing or hedging strategy. Due to the intervention of the Central Bank in the foreign exchange market during a Presidential election period, the results indicate that jump intensity and volatility of jump size are more moderate.

Suggested Citation

  • Jui-Cheng Hung & Shi-Jie Jiang & Chien-Liang Chiu, 2007. "Jump risk of Presidential election: evidence from Taiwan stock and foreign exchange markets," Applied Economics, Taylor & Francis Journals, vol. 39(17), pages 2231-2240.
    • Handle: RePEc:taf:applec:v:39:y:2007:i:17:p:2231-2240
    DOI: 10.1080/00036840600749458
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    Cited by:

    1. Marc Gronwald & Janina Ketterer, 2012. "What Moves the European Carbon Market? - Insights from Conditional Jump Models," CESifo Working Paper Series 3795, CESifo.
    2. Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
    3. Samar Ashour & David A. Rakowski & Salil K. Sarkar, 2019. "U.S. presidential cycles and the foreign exchange market," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 523-540, October.

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