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@article{2359284, author = {Hřebačka, Viktor}, article_location = {ENGLAND}, doi = {http://dx.doi.org/10.1080/13504851.2024.2389341}, keywords = {Adaptive markets hypothesis; rolling window; multiple comparison problem; efficient markets hypothesis}, language = {eng}, issn = {1350-4851}, journal = {APPLIED ECONOMICS LETTERS}, note = {This research is supported by the Masaryk University internal grant No MUNI/A/1303/2022 Evolution of market efficiency}, title = {On the Testing of Adaptive Markets Hypothesis Using Rolling Windows}, url = {https://www.tandfonline.com/doi/full/10.1080/13504851.2024.2389341}, year = {2024} }
TY - JOUR ID - 2359284 AU - Hřebačka, Viktor PY - 2024 TI - On the Testing of Adaptive Markets Hypothesis Using Rolling Windows JF - APPLIED ECONOMICS LETTERS PB - ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD SN - 13504851 N1 - This research is supported by the Masaryk University internal grant No MUNI/A/1303/2022 Evolution of market efficiency KW - Adaptive markets hypothesis KW - rolling window KW - multiple comparison problem KW - efficient markets hypothesis UR - https://www.tandfonline.com/doi/full/10.1080/13504851.2024.2389341 N2 - In this paper, we investigate the issue of multiple testing problem in the testing of Adaptive markets hypothesis via rolling window analysis. Using Monte Carlo simulation, we show that a significant number of previous findings could be attributed to type I error and that the evidence in favor of the hypothesis is weaker than it seems. Furthermore, we also recommend potential remedies for the issue, such as low rolling window length to time series length ratio. ER -
HŘEBAČKA, Viktor. On the Testing of Adaptive Markets Hypothesis Using Rolling Windows. \textit{APPLIED ECONOMICS LETTERS}. ENGLAND: ROUTLEDGE JOURNALS, TAYLOR \&{} FRANCIS LTD, 2024. ISSN~1350-4851. Available from: https://dx.doi.org/10.1080/13504851.2024.2389341.
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