<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Moods affect investors’ attention, memory, and capacity to process information. Inattentive investors delay the price adjustment process, thus leading to a positive autocorrelation of asset returns. In this study, I investigate the relationship between weather-induced moods and stock-return autocorrelation in the Stock Exchange of Thailand from January 2, 1991, to December 29, 2017. Only good moods contribute significantly to return autocorrelation.</p></abstract>

Moods affect investors’ attention, memory, and capacity to process information. Inattentive investors delay the price adjustment process, thus leading to a positive autocorrelation of asset returns. In this study, I investigate the relationship between weather-induced moods and stock-return autocorrelation in the Stock Exchange of Thailand from January 2, 1991, to December 29, 2017. Only good moods contribute significantly to return autocorrelation.

Weather-Induced Moods and Stock-Return Autocorrelation

Zagreb International Review of Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Weather-Induced Moods and Stock-Return Autocorrelation"}

Moods affect investors’ attention, memory, and capacity to process information. Inattentive investors delay the price adjustment process, thus leading to a...

Weather-Induced Moods and Stock-Return Autocorrelation

Pubblicato online: 08 giu 2020

Pagine: 19 - 33

DOI: https://doi.org/10.2478/zireb-2020-0002

Parole chiave
information processing, moods, limited attention, return autocorrelation, weather effects

© 2020 Anya Khanthavit, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Weather-Induced Moods and Stock-Return Autocorrelation

Pubblicato online: 08 giu 2020

Pagine: 19 - 33

DOI: https://doi.org/10.2478/zireb-2020-0002

Parole chiaveinformation processing, moods, limited attention, return autocorrelation, weather effects

© 2020 Anya Khanthavit, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
information processing, moods, limited attention, return autocorrelation, weather effects