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
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