Fintech market efficiency: A multifractal detrended fluctuation analysis
Shrestha, Keshab and Naysary, Babak and Philip, Sheena Sara Suresh (2023) Fintech market efficiency: A multifractal detrended fluctuation analysis. Finance Research Letters, 54. p. 103775. ISSN 1544-6123
Preview |
Text
1-s2.0-S1544612323001484-main.pdf - Published Version Available under License Creative Commons Attribution. Download (400kB) |
Abstract
The efficiency of the Fintech market is still an unverified issue. We aim to investigate the Fintech market efficiency for four S&P Kensho Fintech indices using the multifractal detrended fluctuation analysis (MF-DFA) method. All indices except one are found to be inefficient based on the joint hypothesis tests. We also find combinations of autocorrelation and/or extreme values as the main causes of the inefficiencies.
Item Type: | Article |
---|---|
Identification Number: | 10.1016/j.frl.2023.103775 |
Dates: | Date Event 8 March 2023 Accepted 13 April 2023 Published Online |
Uncontrolled Keywords: | Fintech, Market efficiency, MF-DFA |
Subjects: | CAH17 - business and management > CAH17-01 - business and management > CAH17-01-07 - finance |
Divisions: | Faculty of Business, Law and Social Sciences > College of Accountancy, Finance and Economics Faculty of Business, Law and Social Sciences > College of Business, Digital Transformation & Entrepreneurship |
Depositing User: | Babak Naysary |
Date Deposited: | 24 Jan 2024 10:33 |
Last Modified: | 20 Jun 2024 12:05 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/15155 |
Actions (login required)
View Item |