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The financial effects of Trumpism

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  • Pham, Huy Nguyen Anh
  • Ramiah, Vikash
  • Moosa, Nisreen
  • Huynh, Tam
  • Pham, Nhi

Abstract

This paper investigates the effects of the 2016 US presidential election, and the events occurring in the run-up to election day, on the US stock market. We examine 47 events, starting with Donald Trump's announcement that he would contest the presidential election, using the event study methodology and asset pricing models. Furthermore, we conduct several robustness tests, including the Corrado ranking test, the non-parametric conditional distribution approach, adjustment for market integration, the removal of firms with firm-specific news, and the use of more than one asset pricing model. We observe that the US stock market was affected by the 2016 presidential election and that the US stock market was highly responsive when Trump secured the Republican nomination. The life insurance sector was one of the most negatively affected sectors due to Trump's intention to replace Obamacare. In addition, our results show that the events around the most recent election can lead to diamond risk structures.

Suggested Citation

  • Pham, Huy Nguyen Anh & Ramiah, Vikash & Moosa, Nisreen & Huynh, Tam & Pham, Nhi, 2018. "The financial effects of Trumpism," Economic Modelling, Elsevier, vol. 74(C), pages 264-274.
  • Handle: RePEc:eee:ecmode:v:74:y:2018:i:c:p:264-274
    DOI: 10.1016/j.econmod.2018.05.020
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    Cited by:

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    2. Delia DiaconaÅŸu & Seyed Mehdian & Ovidiu Stoica, 2023. "The Global Stock Market Reactions to the 2016 U.S. Presidential Election," SAGE Open, , vol. 13(2), pages 21582440231, June.
    3. Jamal Bouoiyour & Refk Selmi, 2019. "How do futures contracts affect Bitcoin prices?," Economics Bulletin, AccessEcon, vol. 39(2), pages 1127-1134.
    4. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
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    6. Mobeen Ur Rehman & Wafa Ghardallou & Nasir Ahmad & Xuan Vinh Vo & Sang Hoon Kang, 2024. "Does effect of risk and uncertainties on US sectoral returns differ across different investment horizons and market conditions," Risk Management, Palgrave Macmillan, vol. 26(1), pages 1-49, February.
    7. Chen, Yanhua & Pantelous, Athanasios A., 2022. "The U.S.-China trade conflict impacts on the Chinese and U.S. stock markets: A network-based approach," Finance Research Letters, Elsevier, vol. 46(PB).
    8. Jamal Bouoiyour, Refk Selmi, 2021. "The financial costs of terrorism: evidence from Germany," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 18(1), pages 87-104, June.
    9. Jamal Bouoiyour & Refk Selmi, 2019. "The Financial Costs of Terror: Evidence from Berlin and Munich Attacks," Post-Print hal-02108636, HAL.
    10. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    11. Jamal Bouoiyour & Refk Selmi, 2020. "Coronavirus Spreads and Bitcoin's 2020 Rally: Is There a Link ?," Working Papers hal-02493309, HAL.
    12. Oncu, Erdem, 2021. "The impact of COVID-19 on health sector stock returns," MPRA Paper 111032, University Library of Munich, Germany.
    13. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).
    14. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Shao, Xue-Feng, 2021. "Bitcoin: A safe haven asset and a winner amid political and economic uncertainties in the US?," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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    More about this item

    Keywords

    Presidential election; Event study; Abnormal returns; Diamond risk structure;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G19 - Financial Economics - - General Financial Markets - - - Other

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