Do general elections affect fractal structure of stock market?

被引:4
作者
Cheong, Chin Wen [1 ]
Cherng, Lee Min [2 ]
Zhi, Liu Cheng [3 ]
Huai, Zhang Yi [3 ]
机构
[1] Xiamen Univ Malaysia, Dept Math, Sepang, Selangor Darul, Malaysia
[2] Monash Univ, Sch Informat Technol, Subang Jaya, Selangor, Malaysia
[3] Xiamen Univ Malaysia, Sch Econ & Management, Sepang, Selangor Darul, Malaysia
关键词
Market liquidity; Fractal structure; Hurst parameter; Fractal market hypothesis; TAIL RISK; HURST EXPONENT; RETURNS; MEMORY;
D O I
10.1080/09720510.2020.1776943
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This study intends to investigate whether political election effect is one of the Malaysian stock market anomalies. The time-varying fractal structure of the Malaysian stock market is examined under the impact of three consecutive general election periods. According to the fractal market hypothesis, this self-similarity behaviour might be triggered by the interactions of market participants with different time horizon (short-, medium-or long-term) investments and their different ways interpreting market information. Under normal market conditions, these interactions (trading) among the market participants somehow created a financial market stability in term of market liquidity. However, the fractal structure is ruined when either one of the time horizon market participants dominating the markets. In other words, the market liquidity condition is vanished as trading become unbalance among the different time horizon market participants. In this specific study, we investigate the impact of three most recent general elections to the Malaysian stock market liquidity. First, an ARIMA autoregressive conditional heteroscedastic model is used to filter the possible short memory returns. After that, a rolling time-window method is utilised to examine the fractal structure of the stock market. The estimated Hurst parameter suggested that there is a tendency of fractal structure disruption before all the three elections in the Malaysian stock markets. Whether the stock market can reclaim back the fractal structure is very much depends on the political stability after the election.
引用
收藏
页码:951 / 964
页数:14
相关论文
共 25 条
  • [1] Abidin S Z., 2010, International Review of Business Research Papers, V6, P1
  • [2] [Anonymous], 2013, ALjazeera
  • [3] [Anonymous], 2013, CHANNEL NEWSASI 0506
  • [4] [Anonymous], 2008, NEW STRAITS TIMES
  • [5] [Anonymous], 1994, Fractal market analysis-applying chaos theory to investment and economics
  • [6] [Anonymous], 2018, BBC NEWS
  • [7] The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient
    Cajueiro, DO
    Tabak, BM
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2004, 336 (3-4) : 521 - 537
  • [8] Adjusted Hurst exponent evaluations for equity and energy markets
    Cheong, Chin Wen
    Isa, Zaidi
    Nor, Abu Hassan Shaari Mohd
    Yao, Wong Zhen
    [J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2015, 18 (1-2) : 189 - 202
  • [9] The impact of tail risk on stock market returns: The role of market sentiment
    Chevapatrakul, Thanaset
    Xu, Zhongxiang
    Yao, Kai
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2019, 59 : 289 - 301
  • [10] Defining efficiency in heterogeneous markets
    Dacorogna, Michel
    Mueller, Ulrich
    Olsen, Richard
    Pictet, Olivier
    [J]. QUANTITATIVE FINANCE, 2001, 1 (02) : 198 - 201