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

[thumbnail of 1-s2.0-S1544612323001484-main.pdf]
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 View Item

Research

In this section...