Applying the ELECTRE Method to Determine the Effects of Calendar Anomalies on the Index Returns of Banks Listed on the Tehran Stock Exchange
الموضوعات :
sahand Vahabi
1
,
Bahareh Banitalebi Dehkordi
2
1 - Department of Accounting, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
2 - Department of Accounting, Shahrekord branch, Islamic Azad University, Shahrekord, Iran
الکلمات المفتاحية: calendar anomalies, ELECTRE method, Stochastic dominance analysis, index efficiency,
ملخص المقالة :
In today's world, financial markets, as the main arteries of any country's economic system, have created an attractive environment for investors, and therefore it is necessary to identify the behavior of investors in this space and variables affecting prices and stock returns in these markets. The purpose of this study is to use the method of random dominance analysis and electrification technique as a new method in financial research to investigate the effect of calendar anomalies on the index returns of banks listed on the Tehran Stock Exchange in the period 2016-2020. Findings show that according to the three main hypotheses that there is a significant difference between the returns of the banking industry index on Saturdays to Wednesdays, in the first, second, third and fourth weeks of each month and in the months of April to March based on accuracy Market efficiency assumptions were formulated, all three hypotheses were rejected. It was also found that Wednesdays and the second weeks of each month are the best time to invest in the banking sector. In addition, June is the best and March is the most unsuitable month of the year to invest in this field.
[1] Omidpour, A., Talibnia, G., Investigating the relationship between the Annual General Meeting on stock returns, trading volume and fluctuations in stock returns of cement industry companies listed on the Tehran Stock Exchange. commercial surveys. 2016;14(79):81–7. (in persian)
[2] Roodposhti, FR., Salehi, AK., Financial and accounting schools and theories. 1st ed. Islamic Azad University Publications Science and Research Branch; 2008. (in persian)
[3] Ariel, RA., A monthly effect in stock returns. Journal of Financial Economics,1987; 18(1):161–74. doi: 10.1016/0304-405X(87)90066-3
[4] Yahyazadefar, M., Shababi H. The effect of day of the week on stock returns in developed and emerging markets: A theoretical analysis. Industrial Strategic Management , 2005; 4(2):1. (in persian)
[5] Gultekin, MN., Gultekin NB. Stock market seasonality. Journal of Financial Economics,1983 Dec;12(4):469–81. doi: 10.1016/0304-405X(83)90044-2
[6] Gayaker, S., Yalcin, Y., Berument MH. The day of the week effect and interest rates. Borsa Istanbul Review, 2020 Mar; 20(1): 55–63. doi: 10.1016/j.bir.2019.07.010
[7] sher anaghiz, s., Hasas yeganeh, Y., sadidi mehdi, narrei benyamin. Sentimental decision-making of investors, corporate governance and Investment efficiency. qfajir , 2017 Mar 1; 8(32):1–37. (in persian)
[8] Rai, R., Shirzadi, S., Calendar and non- calendar Anomalies in Financial Markets, Journal of Securities Exchange, 2008;1(1):101–32. (in persian)
[9] Fields, MJ., Security Prices and Stock Exchange Holidays in Relation to Short Selling. Journal of Business of the University of Chicago, 1934; 7(4): 328., doi: 10.1086/232387
[10] Timmermann, A., Granger, CWJ., Efficient market hypothesis and forecasting, International Journal of Forecasting, 2004 Jan; 20(1):15–27. doi: 10.1016/S0169-2070(03)00012-8
[11] Josef Lakonishok, Seymour Smidt. Are Seasonal Anomalies Real? A Ninety-Year Perspective. The Review of Financial Studies, 1988;1(4):403–25
[12] Kohli, RK., Kohers, T., The week-of-the-month effect in stock returns: The evidence from the S&P Composite Index, Journal of Economics and Finance, 1992 Jun;16(2):129–37. doi:10.1007/BF02920113
[13] Bazazan, F., Masouleh, SSB., Safari, S., Day of the Week Effect in Stock Returns by using Bootstrapping GARCH. Empirical Research in Accounting, 2014; 4(2):149–60. (in persian)
[14] Azimi, J., Moinuddin, M., Turkmanzadeh, H., Calendar and non-calendar anomalies, reasons for weakening the efficient market hypothesis, Accounting and Social Interests. 2013; 2(4):23–37. (in persian)
[15] Cross, F., The Behavior of Stock Prices on Fridays and Mondays. Financial Analysts Journal, 1973 Nov 31; 29(6): 67–9. doi:10.2469/faj.v29.n6.67
[16] Madureira, LL., Leal RPC. Elusive anomalies in the Brazilian stock market. International Review of Financial Analysis, 2001 Jun;10(2):123–34. doi: 10.1016/S1057-5219(01)00045-X
[17] Zhang, J., Lai, Y., Lin, J., The day-of-the-Week effects of stock markets in different countries, Finance Research Letters [Internet]n2017 Feb;20: 47–62. doi: 10.1016/j.frl.2016.09.006
[18] Kunkel, RA., Compton WS, Beyer S. The turn-of-the-month effect still lives: the international evidence. International Review of Financial Analysis, 2003 Apr;12(2):207–21. doi: 10.1016/S1057-5219(03)00007-3
[19] Reinganum, MR., The anomalous stock market behavior of small firms in January. Journal of Financial Economics, 1983 Jun;12(1):89–104. doi: 10.1016/0304-405X(83)90029-6
[20] Vahabi, S., Banitalebi, B., Determining the Effects of Calendrical Anomalies in Automobile Industry Companies Accepted to the Tehran Stock Exchange through Random Dominance Analysis. Financial and Behavioral Researches in Accounting, 2023;3(8). doi: 10.30486/fbra.2023.1983885.1190
[21] Rozeff, MS., Kinney, WR., Capital market seasonality: The case of stock returns. Journal of Financial Economics, 1976 Oct; 3(4):379–402. doi: 10.1016/0304-405X(76)90028-3
[22] Rostami, AAA., Khotanlou, M., A Comparative Study of Ranking of Top Companies Based on Profitability Ratios and Tehran Stock Exchange Indices. Accounting and Auditing Review, 2006;13(1). (in persian)
[23] Mehrani, S., Mehrani, K., Karami, G., Use historical financial and non-financial information to distinguish successful companies from unsuccessful ones, Accounting and Auditing Review, 2004;11(4). (in persian)
[24] Dastgir, M., Mobarakeh RS., Investigating the relationship between cash flows and corporate stock returns, auditor, 2011;52(13):94. (in persian)
[25] Abbasian, E., Moradpour Oladi, M., Abbasiuon, V., The Impact of Macroeconomic Variables on the Stock Market: Evidence from Tehran Stock Exchange Market. Iranian Journal of Economic Research, 2008;12(36):135–52. (in persian)
[26] Lo, AW., What Is an Index? The Journal of Portfolio Management, 2016 Jan 31;42(2):21–36. doi: 10.3905/jpm.2016.42.2.021
[27] Tehrani, R., Bayginia, H., The religious month’s effect on the stock market return, volatility and volume in the stock exchange of Tehran. Journal of Investment Knowledge, 2012;1. (in persian)
[28] Plastun, A., Sibande, X., Gupta, R., Wohar, ME., Rise and fall of calendar anomalies over a century. The North American Journal of Economics and Finance, 2019 Jul; 49:181–205. doi: 10.1016/j.najef.2019.04.011
[29] Shahverdiani, S., Goudarzi, A., Vahdat Zirak, S., Research in Effect of Lunar Calendar Events on Stock Returns and Daily Trading Volume in Tehran Stock Exchange, Journal of Investment Knowledge, 2013;2 (in persian)
[30] Hashemi, SA., Kiani, GH., Rouhollahi, V., Investigating Behavioral and Rational Expectations Views in Describing the Accruals Anomaly. Financial Accounting Research, 2014;6(4):37–54. (in persian)
[31] Kudryavtsev, A., Holiday Effect on Large Stock Price Changes. Annals of Economics and Finance, 2019;20(2):633–60.
[32] Jami, M., Iraninejad, J., Investigating the Relationship between Weekly Occasions of the Week and the Return on Shares of Companies Listed on the Tehran Stock Exchange. New Applied Studies in Management, Economics & Accounting, 2019;5(2):62–75. (in persian)
[33] Caporale, GM., Plastun, A., The day of the week effect in the cryptocurrency market. Finance Research Letters, 2019 Dec;31. doi: 10.1016/j.frl.2018.11.012
[34] Vahabi, S., Banitalebi, B., Applying the electro method to determine the effects of calendar irregularities in chemical companies listed on the Tehran Stock Exchange. Financial Engineering and Portfolio Management. 2022;13(2). (in persian)
[35] Bouyssou, D., Marchant, T., Pirlot, M., A theoretical look at Electre Tri-nB and related sorting models. 4OR, 2023 Mar 21;21(1):1–31. doi: 10.1007/s10288-022-00501-9
[36] Fernández, E., Figueira, JR., Navarro, J., A theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes, Annals of Operations Research, 2023 Jun 23;325(2):819–43. doi:10.1007/s10479-022-04554-1
[37] Rahimi, M., Banitalebi Dehkordi, B., Peikfalak, J., Effective Factors on Performing Professional Ethics by Accounts, Ethics in Science and Technology, 2017;12(1).
