This research aims to study the effect of the days in week on the return of the stock price index, particularly in the Stock Exchange of Thailand (SET). The daily closing prices of SET50 index from June 2, 2003 to June 2, 2017 are taken into account, i.e., there are totally 3,425 days. The stock returns of the 50 companies are calculated according to the daily historical stock prices of companies. Both descriptive and inferential statistics are employed in data analysis including average, standard deviation, multiple comparisons and multiple regression analysis. Applying ordinary least square method, the linear equation with five dummy variables is formulated for multiple regression analysis. The results show that the means of daily return rate of SET50 index are significantly different. Monday has a negative influence on the return rate of SET50 index whereas Friday has a positive influence at the significance level of 0.05. The return rate of SET50 index on Monday is lowest whilst Friday is highest during the week.
Published in | Journal of Finance and Accounting (Volume 6, Issue 1) |
DOI | 10.11648/j.jfa.20180601.15 |
Page(s) | 35-41 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Least Square Method, Market Anomalies, Multiple Regression, SET50 Index, Stock Price Index
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APA Style
Pichit Boonkrong, Nithipa Arjrith. (2018). Impact of Weekdays on the Return Rate of Stock Price Index: Evidence from the Stock Exchange of Thailand. Journal of Finance and Accounting, 6(1), 35-41. https://doi.org/10.11648/j.jfa.20180601.15
ACS Style
Pichit Boonkrong; Nithipa Arjrith. Impact of Weekdays on the Return Rate of Stock Price Index: Evidence from the Stock Exchange of Thailand. J. Finance Account. 2018, 6(1), 35-41. doi: 10.11648/j.jfa.20180601.15
AMA Style
Pichit Boonkrong, Nithipa Arjrith. Impact of Weekdays on the Return Rate of Stock Price Index: Evidence from the Stock Exchange of Thailand. J Finance Account. 2018;6(1):35-41. doi: 10.11648/j.jfa.20180601.15
@article{10.11648/j.jfa.20180601.15, author = {Pichit Boonkrong and Nithipa Arjrith}, title = {Impact of Weekdays on the Return Rate of Stock Price Index: Evidence from the Stock Exchange of Thailand}, journal = {Journal of Finance and Accounting}, volume = {6}, number = {1}, pages = {35-41}, doi = {10.11648/j.jfa.20180601.15}, url = {https://doi.org/10.11648/j.jfa.20180601.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfa.20180601.15}, abstract = {This research aims to study the effect of the days in week on the return of the stock price index, particularly in the Stock Exchange of Thailand (SET). The daily closing prices of SET50 index from June 2, 2003 to June 2, 2017 are taken into account, i.e., there are totally 3,425 days. The stock returns of the 50 companies are calculated according to the daily historical stock prices of companies. Both descriptive and inferential statistics are employed in data analysis including average, standard deviation, multiple comparisons and multiple regression analysis. Applying ordinary least square method, the linear equation with five dummy variables is formulated for multiple regression analysis. The results show that the means of daily return rate of SET50 index are significantly different. Monday has a negative influence on the return rate of SET50 index whereas Friday has a positive influence at the significance level of 0.05. The return rate of SET50 index on Monday is lowest whilst Friday is highest during the week.}, year = {2018} }
TY - JOUR T1 - Impact of Weekdays on the Return Rate of Stock Price Index: Evidence from the Stock Exchange of Thailand AU - Pichit Boonkrong AU - Nithipa Arjrith Y1 - 2018/04/27 PY - 2018 N1 - https://doi.org/10.11648/j.jfa.20180601.15 DO - 10.11648/j.jfa.20180601.15 T2 - Journal of Finance and Accounting JF - Journal of Finance and Accounting JO - Journal of Finance and Accounting SP - 35 EP - 41 PB - Science Publishing Group SN - 2330-7323 UR - https://doi.org/10.11648/j.jfa.20180601.15 AB - This research aims to study the effect of the days in week on the return of the stock price index, particularly in the Stock Exchange of Thailand (SET). The daily closing prices of SET50 index from June 2, 2003 to June 2, 2017 are taken into account, i.e., there are totally 3,425 days. The stock returns of the 50 companies are calculated according to the daily historical stock prices of companies. Both descriptive and inferential statistics are employed in data analysis including average, standard deviation, multiple comparisons and multiple regression analysis. Applying ordinary least square method, the linear equation with five dummy variables is formulated for multiple regression analysis. The results show that the means of daily return rate of SET50 index are significantly different. Monday has a negative influence on the return rate of SET50 index whereas Friday has a positive influence at the significance level of 0.05. The return rate of SET50 index on Monday is lowest whilst Friday is highest during the week. VL - 6 IS - 1 ER -