Predictability of multifractal analysis of Hang Seng stock index in Hong Kong

被引:54
|
作者
Sun, X [1 ]
Chen, HP
Yuan, YZ
Wu, ZQ
机构
[1] Univ Sci & Technol China, Ctr Fundamental Phys, Hefei 230026, Peoples R China
[2] Hefei Rongshida Sanyo Elect Co Ltd, Hefei 230026, Peoples R China
来源
PHYSICA A | 2001年 / 301卷 / 1-4期
关键词
predictability; multifractal; Hong Kong index;
D O I
10.1016/S0378-4371(01)00433-2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, the daily Hang Seng index in Hong Kong stock market is studied by multifractal analysis. The main parameter of multifractal spectra used is Deltaf, which can be used to characterize the ratio of number of highest index moments to that of lowest ones. The dependence of today's gain probability (G%) and the day's index increase probability (n%) with Deltaf of the previous 3 days are studied. It is found that G% and n% can reach 70-80% at the large positive Deltaf region and can be very close to 20% at the big negative Deltaf region. The predictability decreases with the increasing number of the previous days. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:473 / 482
页数:10
相关论文
共 50 条
  • [21] Do Small Traders Contribute to Price Discovery? Evidence from the Hong Kong Hang Seng Index Markets (vol 30, pg 156, 2010)
    Tao, L.
    Song, F. M.
    [J]. JOURNAL OF FUTURES MARKETS, 2010, 30 (04) : 407 - 407
  • [22] Empirical study on the volatility of the Hang-Seng index
    Cai, SM
    Zhou, PL
    Yang, HJ
    Yang, CX
    Wang, BH
    Zhou, T
    [J]. CHINESE PHYSICS LETTERS, 2006, 23 (03) : 754 - 757
  • [23] Stability and lack of memory of the returns of the Hang Seng index
    Burnecki, Krzysztof
    Gajda, Janusz
    Sikora, Grzegorz
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (18-19) : 3136 - 3146
  • [24] Multifractal analysis of Hong Kong air quality data
    Anh, VV
    Lam, KC
    Leung, Y
    Tieng, QM
    [J]. ENVIRONMETRICS, 2000, 11 (02) : 139 - 149
  • [25] Increasing the Hong Kong Stock Market Predictability: A Temporal Convolutional Network Approach
    Chen, Shun
    Guo, Lingling
    Ge, Lei
    [J]. COMPUTATIONAL ECONOMICS, 2024,
  • [26] Volatility forecasting in the hang seng index using the GARCH approach
    Liu W.
    Morley B.
    [J]. Asia-Pacific Financial Markets, 2009, 16 (1) : 51 - 63
  • [27] Causal Analysis of Hong Kong Stock Market
    Yao Feng
    Dai Shugeng
    Li Yao
    [J]. PROCEEDINGS OF THE 9TH (2017) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, 2017, : 69 - 74
  • [28] Price discovery in the Hang Seng Index markets: Index, futures, and the tracker fund
    So, RW
    Tse, YM
    [J]. JOURNAL OF FUTURES MARKETS, 2004, 24 (09) : 887 - 907
  • [29] Stock return predictability and model instability: Evidence from mainland China and Hong Kong
    Hong, Hui
    Chen, Naiwei
    O'Brien, Fergal
    Ryan, James
    [J]. QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2018, 68 : 132 - 142
  • [30] A Hybrid Framework for Evaluating Financial Market Price: An Analysis of the Hang Seng Index Case Study
    Liu, Runhua
    Yang, Zhengfeng
    Su, Juan
    Cao, Yu
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (06) : 1088 - 1101