<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study employs robust martingale difference hypothesis tests to examine return predictability in a broad sample of the 40 most capitalized cryptocurrency markets in the context of the adaptive market hypothesis. The tests were applied to daily returns using the rolling window method in the research period from May 1, 2013 to September 30, 2022. The results of this study suggest that the returns of the majority of the examined cryptocurrencies were unpredictable most of the time. However, a great part of them also suffered some short periods of weak-form inefficiency. The results obtained validate the adaptive market hypothesis. Additionally, this study allowed the observation of some differences in return predictability between the examined cryptocurrencies. Also some historical trends in weak-form efficiency were identified. The results suggest that the predictability of cryptocurrency returns might have decreased in recent years also no significant relationship between market cap and predictability was observed.</p>
</abstract>

This study employs robust martingale difference hypothesis tests to examine return predictability in a broad sample of the 40 most capitalized cryptocurrency markets in the context of the adaptive market hypothesis. The tests were applied to daily returns using the rolling window method in the research period from May 1, 2013 to September 30, 2022. The results of this study suggest that the returns of the majority of the examined cryptocurrencies were unpredictable most of the time. However, a great part of them also suffered some short periods of weak-form inefficiency. The results obtained validate the adaptive market hypothesis. Additionally, this study allowed the observation of some differences in return predictability between the examined cryptocurrencies. Also some historical trends in weak-form efficiency were identified. The results suggest that the predictability of cryptocurrency returns might have decreased in recent years also no significant relationship between market cap and predictability was observed.

The adaptive market hypothesis and the return predictability in the cryptocurrency markets

Economics and Business Review

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study employs robust martingale difference hypothesis tests to examine return predictability in a broad sample of the 40 most capitalized cryptocurrency...

The adaptive market hypothesis and the return predictability in the cryptocurrency markets

Published Online: May 01, 2023

Page range: 94 - 118

Received: Dec 12, 2022

Accepted: Apr 07, 2023

DOI: https://doi.org/10.18559/ebr.2023.1.4

Keywords
cryptocurrency markets, adaptive market hypothesis, efficient market hypothesis, cryptocurrency return predictability, weak-form efficiency of cryptocurrency markets, martingale difference hypothesis

© 2023 Jacek Karasiński, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The adaptive market hypothesis and the return predictability in the cryptocurrency markets

Published Online: May 01, 2023

Page range: 94 - 118

Received: Dec 12, 2022

Accepted: Apr 07, 2023

DOI: https://doi.org/10.18559/ebr.2023.1.4

Keywordscryptocurrency markets, adaptive market hypothesis, efficient market hypothesis, cryptocurrency return predictability, weak-form efficiency of cryptocurrency markets, martingale difference hypothesis

© 2023 Jacek Karasiński, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
cryptocurrency markets, adaptive market hypothesis, efficient market hypothesis, cryptocurrency return predictability, weak-form efficiency of cryptocurrency markets, martingale difference hypothesis