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What Do Foreign Exchange Markets Say About Election Outcomes? A Comparison Between Malaysia, Singapore and Philippines

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  • Hui, Hon Chung

Abstract

In this paper, Event Studies are conducted to examine the effects of political events on foreign exchange returns in Malaysia, Singapore and Philippines. The political events of interest in this paper cover the general elections in all three countries. Some of the salient findings are as follows. First, the 13th General Election in Malaysia led to a mostly negative response from the foreign exchange market, with a sharper than expected Ringgit depreciation. Second, the 14th Malaysian General Election elicited a rather positive reaction from the foreign exchange market – there was far less depreciation of the Ringgit than what was previously believed. Third, both the 2011 and 2015 General Elections in Singapore were followed by positive reactions from the market. Fourth, presidential elections in the Philippines produced contrasting results – the election of Benigno Aquino III was greeted with optimism, whereas his successor, Rodrigo Duterte received a less welcoming reception from the foreign exchange market, with the Philippine Peso depreciating more than the predicted amount in the market model.

Suggested Citation

  • Hui, Hon Chung, 2019. "What Do Foreign Exchange Markets Say About Election Outcomes? A Comparison Between Malaysia, Singapore and Philippines," MPRA Paper 98148, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:98148
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    References listed on IDEAS

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    1. Christophe Blot & Paul Hubert & Fabien Labondance, 2018. "Monetary Policy and Asset Price Bubbles," Working Papers hal-04141787, HAL.
    2. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    3. Xiaohui Hou & Shuo Li, 2019. "The price of official-business collusion," China Finance Review International, Emerald Group Publishing Limited, vol. 10(1), pages 52-74, March.
    4. Frenkel, Jacob A, 1981. "Flexible Exchange Rates, Prices, and the Role of "News": Lessons from the 1970s," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 665-705, August.
    5. Michal Adam & Witold Kozinski & Janusz Zielinski, 2013. "To what extent can central banks influence exchange rates with foreign exchange interventions? The case of Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Sovereign risk: a world without risk-free assets?, volume 73, pages 279-291, Bank for International Settlements.
    6. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    7. Doron Kliger & Gregory Gurevich, 2014. "Event Studies for Financial Research," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-36879-9.
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    More about this item

    Keywords

    general election; event studies; exchange rate; confidence;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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