Dynamic efficiency of European credit sectors: A rolling-window multifractal detrended fluctuation analysis

被引:17
作者
Aloui, Chaker [1 ]
Shahzad, Syed Jawad Hussain [2 ]
Jammazi, Rania [3 ]
机构
[1] King Saud Univ, Coll Business Adm, Riyadh, Saudi Arabia
[2] Montpellier Business Sch, Montpellier, France
[3] Manouba Univ Tunis, Natl Sch Comp Sci, Tunis, Tunisia
关键词
MF-DFA; Credit markets; Long memory; Anti-persistence; WEAK-FORM EFFICIENCY; STOCK MARKETS; MF-DFA; DEFAULT SWAP; EQUILIBRIUM; INFORMATION; VOLATILITY; RETURNS; PRICES; US;
D O I
10.1016/j.physa.2018.04.039
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, we explore the market efficiency hypothesis for 22 European credit market sectors using the multi fractal detrended fluctuation approach (MF-DFA). The market efficiency of the credit market sectors is compare in short- and long-run horizons and for small and large fluctuations. The time-variations in the market efficiency level are captured by adopting a rolling-window framework of MF-DFA. We find that all the Eurozone credit market sectors are multifractal in nature and that credit sectors are marked by a persistent long memory phenomenon in their short- and long-term components. Furthermore, market efficiency levels are time-varying for both short- and long-term horizons and significantly change under crisis and non-crisis scenarios. Our findings render the generally adopted full sample MF-DFA results less reliable. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:337 / 349
页数:13
相关论文
共 50 条
  • [1] Fintech market efficiency: A multifractal detrended fluctuation analysis
    Shrestha, Keshab
    Naysary, Babak
    Philip, Sheena Sara Suresh
    FINANCE RESEARCH LETTERS, 2023, 54
  • [2] Multifractal characterization of energy stocks in China: A multifractal detrended fluctuation analysis
    Yang, Liansheng
    Zhu, Yingming
    Wang, Yudong
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 451 : 357 - 365
  • [3] Investigating efficiency of frontier stock markets using multifractal detrended fluctuation analysis
    Aslam, Faheem
    Ferreira, Paulo
    Mohti, Wahbeeah
    INTERNATIONAL JOURNAL OF EMERGING MARKETS, 2023, 18 (07) : 1650 - 1676
  • [4] MULTIFRACTAL FLEXIBLY DETRENDED FLUCTUATION ANALYSIS
    Rak, Rafal
    Zieba, Pawel
    ACTA PHYSICA POLONICA B, 2015, 46 (10): : 1925 - 1938
  • [5] Multifractal detrended fluctuation analysis of the Chinese stock index futures market
    Lu, Xinsheng
    Tian, Jie
    Zhou, Ying
    Li, Zhihui
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (06) : 1452 - 1458
  • [6] A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices
    Tiwari, Aviral Kumar
    Albulescu, Claudiu Tiberiu
    Yoon, Seong-Min
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 483 : 182 - 192
  • [7] Are Islamic stock markets efficient? A multifractal detrended fluctuation analysis
    Bouoiyour, Jamal
    Selmi, Refk
    Wohar, Mark E.
    FINANCE RESEARCH LETTERS, 2018, 26 : 100 - 105
  • [8] Integration reforms in the European natural gas market: A rolling-window spillover analysis
    Broadstock, David C.
    Li, Raymond
    Wang, Linjin
    ENERGY ECONOMICS, 2020, 92
  • [9] Analysis of multifractal characterization of Bitcoin market based on multifractal detrended fluctuation analysis
    Zhang, Xin
    Yang, Liansheng
    Zhu, Yingming
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 523 : 973 - 983
  • [10] Multifractal detrended fluctuation analysis of SENSEX fluctuation in the Indian stock market
    Dutta, Srimoni
    CANADIAN JOURNAL OF PHYSICS, 2010, 88 (08) : 545 - 551