Document Type : Original Article
Authors
1 Faculty of Financial Sciences, Kharazmi University
2 AllamahTabatabaie University
3 Faculty Member of Faculty of Economics, Kharazmi University
Abstract
Market efficiency paradigm and time patterns concerned, as "calendar anomalies" is a contradictory issue for researches. TSE's market participants have a negative understanding of the 6th and 12th month of the fiscal year and this issue is rooted in the obliged credit settlement of the brokerage industry at the year-end. The purpose of this study is to investigate the TSE's total return before and after brokerage firms' year-end. Using GARCH-PQ, and data of market index in periods between 1390 and 1396, we concluded that periods of1st to 22ndof 6thand 12th months,and 22nd to the end of 6th and 12th months, have respectivelynegative and positive effectson TSE's stock index.
Keywords
volatility and volume: Evidence from Tehran Exchange. Journal of Business Management.
No. 18. PP: 55-83
2. Khajavi, Sh. &Ghasemi, M. (2006). Efficient market hypothesis and Financial Behavior.
Journal of Financial Research. Vol. 7. pp: 49-69
3. Azimi, J., Moinaldin, M. &Torkamanzade, H. (2011). Calendar and non-calendar
anomalies, a reason for weakening the market-efficient hypothesis. Journal of Accounting
Research. Vol. 7. pp: 24-37
4. Al-Jafari, M.K. (2011). The monthly effect of stock market returns and the global financial
crisis: Evidence and implications from Bahrain Bourse. International Research Journal of
Finance and Economics, 78: 83–95
5. Ariel, R., (1987). A Monthly Effect in Stock Returns. The Journal of Financial Economics,
18: 161-174.
6. Banz, R.W., (1981). The relationship between return and the market value of common
stocks, Journal of Financial Economics, 9: 3-18.
7. Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of
Economic, 31: 307–327.
8. Campbell, J.Y., Hentschel, L., (1992). No news is good news: an asymmetric model of
changing volatility in stock returns Journal of financial Economic, 31: 281–318.
9. Chemmanur, J., Gang Hu, and Jiekun, H., (2014). Institutional Investors and the
Information Production Theory of Stock Splits. Journal of Financial and Quantitative
Analysis, 15: 55-70
10.Chia, R.C.-J. (2014). The Disappearing Day-of-the-Week Effect in Australia and New
Zealand Stock markets: Evidence from TAR-GARCH Model. Malaysian Journal of
Business and Economics, 1(2):51-61.
11.Clark, R., and Ziemba, W., (1987). Playing the Turn-Of-The-Year Effect with Index
Futures. The Operations Research, 35: 799-813.
12.Cross, F., (1973), The behavior of stock prices on Fridays and Mondays. Financial Analysts
Journal, 29 (6): 67-69.
13.Desai, H, and Prem, C., (1997). Long run common stock returns following stock splits and
reverse splits. Journal of Business, 70: 405-422.
14.Engle, R., (1982), Autoregressive conditional heteroscedasticity with estimates of the
variance of United Kingdom inflation. Econometric, 50: 987–1007
15.Husain, F. (1998). A Seasonality in the Pakistani Equity Market: The
Ramadhan Effect. Pakistani Development Review, 7: 71-87
16.Jong-Hwan (2003). Three Anomalies of Initial Public Offerings: A brief Literature Review,
Briefing Notes in Economics – Issue No. 58: 520-535.
Default Risk and Momentum Effect; Some … 58
17.Keim, D.B., (1983). Size-related anomalies and stock return seasonality: Further empirical
evidence. Journal of Financial Economics, issue7: 41-56
18.Lakonishok, J., and S. Smidt, (1988) Are seasonal anomalies real? A Ninety-Year
Perspective. The Review of Financial Studies, 1: 403-425.
19.Munir, Q., Ching, K. (2017). Calendar Anomalies in Finance Stocks Market: Evidence from
Malaysia. GAI International Academic Conferences Proceedings New York, United States,
25: 159-168.
20.Reinganum, M.R., (1981), Misspecifications of capital asset pricing: Empirical anomalies
based on earnings yields and market values, Journal of Financial Economics, 9: 19-46.
21.Seyyed, F.J., Abraham, A. and Al-Hajji, M. (2005). Seasonality in Stock Returns and
Volatility. The Ramadan Effect, Research in International Business and Finance, 19: 374-
383.
22.Siddiqui, T.A., &Narula, I. (2013). Market efficiency and anomalies: Evidences from S&P
CNX NIFTY. Vision: The Journal of Business Perspective, 17: 233–245.
23.Zagham Abbas, S. (2017). Calendar Anomalies in South Asian Markets. Educational
Research International, Vol.6(2): 109-125.
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