Mapping the Presidential Election Cycle in US stock markets

被引:27
|
作者
Wong, Wing-Keung [1 ]
McAleer, Michael [2 ,3 ]
机构
[1] Hong Kong Baptist Univ, Dept Econ, Kowloon Tong, Hong Kong, Peoples R China
[2] Erasmus Univ, Erasmus Sch Econ, Inst Econometr, NL-3000 DR Rotterdam, Netherlands
[3] Natl Chung Hsing Univ, Dept Appl Econ, Taichung 40227, Taiwan
基金
澳大利亚研究理事会;
关键词
Presidential Election Cycle; Spectral analysis; EGARCH Intervention model; Stock prices; Returns; MOMENTUM STRATEGIES; STOCHASTIC-DOMINANCE; MONETARY-POLICY; BUSINESS-CYCLE; RETURNS; VOLATILITY; PROFITABILITY; BEHAVIOR; PRICES; MODELS;
D O I
10.1016/j.matcom.2009.05.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper shows that in the almost four decades from January 1965 through to December 2003, US stock prices closely followed the 4-year Presidential Election Cycle. In general, stock prices fell during the first half of a Presidency, reached a trough in the second year, rose during the second half of a Presidency, and reached a peak in the third or fourth year. This cyclical trend is found to hold for the greater part of the last ten administrations, starting from President Lyndon Johnson to the administration of President George W. Bush, particularly when the incumbent is a Republican. The empirical results suggest that the Republican Party may have greater Cause to engage in active policy manipulation to win re-election than their Democratic counterparts. There is irony in that bullish runs in the stock market have tended to coincide with sub-periods under Democratic administrations. The existence of the Presidential Election Cycle shown in the paper may constitute an anomaly in the US stock market, which could be useful for investors. (C) 2009 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:3267 / 3277
页数:11
相关论文
共 50 条
  • [31] An Asymmetric and DCC Analysis of Two Stock Markets Return: An Evidence Study of the US and the Canada's Stock Markets
    Horng, Wann-Jyi
    Chang, Jui-Chen
    Huang, Ming-Chi
    2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2, 2009, : 53 - +
  • [32] Volatility and Correlations in Stock Markets: The case of US S&P 500, Japan Nikkei 225 DAX indices
    Bikar, Milos
    Kmetko, Miroslav
    Vavrova, Katarina
    Badura, Peter
    EUROPEAN FINANCIAL SYSTEMS 2017: PROCEEDINGS OF THE 14TH INTERNATIONAL SCIENTIFIC CONFERENCE, PT 1, 2017, : 23 - 32
  • [33] Presidential elections and stock return volatility: evidence from selected sub-Saharan African stock markets
    Musah, Godwin
    Domeher, Daniel
    Musah, Abubakar
    JOURNAL OF FINANCIAL ECONOMIC POLICY, 2023, 15 (03) : 248 - 262
  • [34] Impact of US Macroeconomic News Announcements on Intraday Causalities on Selected European Stock Markets
    Gurgul, Henryk
    Lach, Lukasz
    Wojtowicz, Tomasz
    FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE, 2016, 66 (05): : 405 - 425
  • [35] High-order moments in stock pricing: evidence from the Chinese and US markets
    Chen, Yifan
    Chen, Zilin
    Tang, Huoqing
    CHINA FINANCE REVIEW INTERNATIONAL, 2020, 10 (03) : 323 - 346
  • [36] Correlation-based investment strategies: A comparison between Chinese and US stock markets
    Zhang, Zhehao
    Xing, Ruina
    Liu, Jiajun
    Shao, Yifei
    PACIFIC-BASIN FINANCE JOURNAL, 2023, 82
  • [37] Common risk factors in international stock markets
    Schmidt, Peter S.
    von Arx, Urs
    Schrimpf, Andreas
    Wagner, Alexander F.
    Ziegler, Andreas
    FINANCIAL MARKETS AND PORTFOLIO MANAGEMENT, 2019, 33 (03) : 213 - 241
  • [38] Sources of momentum profits in international stock markets
    Park, Kyung-In
    Kim, Dongcheol
    ACCOUNTING AND FINANCE, 2014, 54 (02) : 567 - 589
  • [39] Volatility spillover between the US, Chinese and Australian stock markets
    Bissoondoyal-Bheenick, Emawtee
    Brooks, Robert
    Chi, Wei
    Do, Hung Xuan
    AUSTRALIAN JOURNAL OF MANAGEMENT, 2018, 43 (02) : 263 - 285
  • [40] Oil shocks, US economic uncertainty, and emerging stock markets
    Kwon, Dohyoung
    APPLIED ECONOMICS LETTERS, 2019, 26 (18) : 1472 - 1479