The Effect of Market Anomalies on the Inefficiency of Stock Returns

Mehran Ansari; Hojat Jafari

doi:doi:10.11648/j.ajtab.20200603.12

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The Effect of Market Anomalies on the Inefficiency of Stock Returns

Mehran Ansari, Hojat Jafari

Published in American Journal of Theoretical and Applied Business (Volume 6, Issue 3)

Received: 2 July 2020 Accepted: 18 August 2020 Published: 16 September 2020

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Abstract

This paper serves the purpose to analyses market anomalies and their agents on returns in the Iranian indexes between 2017 and 2020. Principled patterns in financial market are incompatible to the efficient market hypothesis, as stock market returns can be done applying these systematic models. Real investors may not be able to achieve the return and profitability due to the scarcity of their financial resources. Accordingly, the study of the role of real investors in the volatility of stock returns is very important. Well timed actions of investors prices of stocks directly adapt to the new information, and give thought to all the available information. So no investor can chastise the market by generating abnormal returns. The model period is 2017 to 2020 to represent the continuity of the monthly result. This scholarship put upon the advantageous sampling procedure, also known as the judgmental sampling technique, of weekly returns from Iranian indexes and major world indexes based on specific criteria. The demodulations offer an abnormal month of the year outcome stand in some Iranian indexes during the research duration. The vehemence of month of the year anomalies lessens with time. The investigation also illustrate that month of the year factors are more unremitting between indexes with smaller market capitalization.

Published in	American Journal of Theoretical and Applied Business (Volume 6, Issue 3)
DOI	10.11648/j.ajtab.20200603.12
Page(s)	23-27
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), 2024. Published by Science Publishing Group

Keywords

Real Investors, Month of the Year Effect, Return, Market Anomalies

References

[1]	Arnold, V., Bedard, J. C., Phillips, J. R., and Sutton, S. G. 2012. The impact of tagging qualitative financial information on investor decision making: Implications for XBRL.
[2]	International Journal of Accounting Information Systems, 13 (1), 2-20.
[3]	Bekaert, G. and Hodrick, R. 2017. International financial management. Cambridge University Press.
[4]	Bhuyan, R. 2018. Investments and Security Analysis. Finance.
[5]	Bodie, Z., Kane, A. and Marcus, A. J. 2012. Essentials of Investments 9th Edition. McGrawHill.
[6]	Bollerslev, T. 1986. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31 (3), 307-327.
[7]	Chandra, P. 2017. Investment analysis and portfolio management. McGraw-Hill Education.
[8]	Chatfield, C. 2016. The analysis of time series: An introduction. CRC press.
[9]	Chen, Q. 2013. Risk and seasonal effects: International evidence. Journal of Chinese Economic and Business Studies, 11 (4), 299-311.
[10]	Chia, R. C. J. and Liew, V. K. S. 2012. Month-of-the-Year and Symmetrical Effects in the Nikkei 225. Journal of Business and Management, 3 (2), 68-72.
[11]	Clarke, J., Jandik, T. and Mandelker, G. 2008. The Efficient Markets Hypothesis. African Journal of Business Management, 3 (17), 28-56. http://doi.org/10.1007/BF01539560.
[12]	Denisova, P. I., Rukina, N. S., Samoylova, N. K., Takmazyan, S. A. 2017. Financial.
[13]	Instruments of the Socially Responsible Economy. European Research Studies Journal, 20 (1), 284-293.
[14]	Fama, E. F. 1960. Efficient market hypothesis. Ph. D. dissertation, University of Chicago, Graduate School of Business.
[15]	Fama, E. F. 1998. Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49 (3), 283-306.
[16]	Floros, C. and Salvador, E. 2014. Calendar anomalies in cash and stock index futures.
[17]	International evidence. Economic Modelling, 37, 216-223.
[18]	Fryzlewicz, P. and Subba Rao, S. 2014. Multiple-change-point detection for auto-regressive conditional heteroscedastic processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76 (5), 903-924.
[19]	Georgantopoulos, A. G., Kenourgios, D. F. and Tsamis, A. D. 2011. Calendar anomalies in emerging Balkan equity markets. International Economics and Finance Journal, 6 (1), 67-82.
[20]	Hawaldar, I. T., Shakila, B. and Pinto, P. 2017. Empirical Testing of Month of the Year Effect on Selected Commercial Banks and Services Sector Companies Listed on Bahrain Bourse. International Journal of Economics and Financial Issues, 7 (2), 426436.
[21]	Jahfer, A. and Inoue, T. 2014. Financial development, foreign direct investment and economic growth in Sri Lanka. International Journal of Economic Policy in Emerging Economies, 7 (1), 77-93.
[22]	Jain, N. 2017. Illusion or Reality: Testing the Day-of-the-Week and Month-of-the-Year Effect for Indian Stock Market. Asian Journal of Research in Banking and Finance, 7 (4), 75-84.
[23]	Jamróz Pawełand Koronkiewicz, G. 2014. The Occurrence of the Day-of-the-Week Effects on Polish and Major World Stock Markets. Studies in Logic, Grammar and Rhetoric, 37 (1), 71-88.
[24]	Jassal, T. and Dhiman, B. 2015. Heterogeneous Evidence: An Analysis of Monthly Anomaly. International Journal of Applied Business and Economic Research, 13 (3), 1377-1389.
[25]	Jiang, D. and Autore, D. M. 2014. The Preholiday Corporate Announcement Effect.
[26]	Lee, I. and Lee, K. 2015. The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58 (4), 431-440.
[27]	Lopez Bernal, J. A., Gasparrini, A., Artundo, C. M. and McKee, M. 2013. The effect of the late 2000s financial crisis on suicides in Spain: an interrupted time-series analysis. The European Journal of Public Health, 23 (5), 732-736.
[28]	Moskowitz, T. J., Ooi, Y. H. and Pedersen, L. H. 2012. Time series momentum. Journal of Financial Economics, 104 (2), 228-250.
[29]	Nachrowi, N. D. and Usman, H. 2006. Econometrics For Economic and Financial Analysis. Issuing FEUI.
[30]	Onoh, J. O. and Ndu-Okereke, O. E. 2016. Day of the Week Effect: Evidence from the Nigerian Stock Exchange. International Journal of Banking and Finance Researc, 2 (3), 76-90.
[31]	Piketty, T. 2015. About capital in the twenty-first century. American Economic Review, 105 (5), 48-53.
[32]	Rathinasamy, R. S. and Mantripragada, K. G. 1996. The January size effect revisited: is it a case of risk mismeasurement? Journal of Financial and Strategic Decisions, 9 (3), 9-14.
[33]	Reilly, F. K. and Brown, K. C. 2002. Investment analysis and portfolio management.
[34]	Schwert, G. W. 2003. Anomalies and market efficiency. In Handbook of the Economics of Finance, 1, 939-974.
[35]	Sharpe, W. F., Alexander, G. J. and Bailey, J. V. 1999. Investments (International Edition). Prentice Hall, Inc. New Jersey.
[36]	Thalassinos, I. E., Pintea, M. and Ratiu, I. P. 2015. The Recent Financial Crisis and Its Impact on the Performance Indexes of Selected Countries during the Crisis Period: A Reply.
[37]	International Journal of Economics and Business Administration, 3 (1), 3-20.
[38]	Thalassinos, I. E., Hanias, P. M., Curtis, G. P. and Thalassinos, E. J. 2013. Forecasting financial indices: The Baltic Dry Indices. Marine Navigation and Safety of Sea Transportation: STCW, Maritime Education and Training (MET), Human Resources and Crew Manning, Maritime Policy, Logistics and Economic Matters; Code 97318, 283-290, ISBN: 978-113800104-6.
[39]	Thalassinos, I. E., Hanias, P. M. and Curtis, G. P. 2012. Time series prediction with neural networks for the Athens Stock Exchange indicator. European Research Studies Journal, 15 (2), 23-31.
[40]	Tong, W. H. S. 1992. An analysis of the January effect of United States, Taiwan and South Korean stock returns. Asia Pacific Journal of Management, 9 (2), 189-207.
[41]	Wei, W. W. S. 2006. Time series analysis. In the Oxford Handbook of Quantitative Methods in Psychology, Vol. 2.
[42]	Wong, W. K., Agarwal, A. and Wong, N. T. 2006. The disappearing calendar anomalies in the Singapore stock market. The Lahore Journal of Economics, 11 (2), 123-139.
[43]	Zhang, J., Lai, Y. and Lin, J. 2017. The day-of-the-Week effects of stock markets in different countries. Finance Research Letters, 20, 47-62.

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Mehran Ansari, Hojat Jafari. (2020). The Effect of Market Anomalies on the Inefficiency of Stock Returns. American Journal of Theoretical and Applied Business, 6(3), 23-27. https://doi.org/10.11648/j.ajtab.20200603.12

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ACS Style

Mehran Ansari; Hojat Jafari. The Effect of Market Anomalies on the Inefficiency of Stock Returns. Am. J. Theor. Appl. Bus. 2020, 6(3), 23-27. doi: 10.11648/j.ajtab.20200603.12

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AMA Style

Mehran Ansari, Hojat Jafari. The Effect of Market Anomalies on the Inefficiency of Stock Returns. Am J Theor Appl Bus. 2020;6(3):23-27. doi: 10.11648/j.ajtab.20200603.12

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@article{10.11648/j.ajtab.20200603.12,
  author = {Mehran Ansari and Hojat Jafari},
  title = {The Effect of Market Anomalies on the Inefficiency of Stock Returns},
  journal = {American Journal of Theoretical and Applied Business},
  volume = {6},
  number = {3},
  pages = {23-27},
  doi = {10.11648/j.ajtab.20200603.12},
  url = {https://doi.org/10.11648/j.ajtab.20200603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtab.20200603.12},
  abstract = {This paper serves the purpose to analyses market anomalies and their agents on returns in the Iranian indexes between 2017 and 2020. Principled patterns in financial market are incompatible to the efficient market hypothesis, as stock market returns can be done applying these systematic models. Real investors may not be able to achieve the return and profitability due to the scarcity of their financial resources. Accordingly, the study of the role of real investors in the volatility of stock returns is very important. Well timed actions of investors prices of stocks directly adapt to the new information, and give thought to all the available information. So no investor can chastise the market by generating abnormal returns. The model period is 2017 to 2020 to represent the continuity of the monthly result. This scholarship put upon the advantageous sampling procedure, also known as the judgmental sampling technique, of weekly returns from Iranian indexes and major world indexes based on specific criteria. The demodulations offer an abnormal month of the year outcome stand in some Iranian indexes during the research duration. The vehemence of month of the year anomalies lessens with time. The investigation also illustrate that month of the year factors are more unremitting between indexes with smaller market capitalization.},
 year = {2020}
}

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TY - JOUR
T1 - The Effect of Market Anomalies on the Inefficiency of Stock Returns
AU - Mehran Ansari
AU - Hojat Jafari
Y1 - 2020/09/16
PY - 2020
N1 - https://doi.org/10.11648/j.ajtab.20200603.12
DO - 10.11648/j.ajtab.20200603.12
T2 - American Journal of Theoretical and Applied Business
JF - American Journal of Theoretical and Applied Business
JO - American Journal of Theoretical and Applied Business
SP - 23
EP - 27
PB - Science Publishing Group
SN - 2469-7842
UR - https://doi.org/10.11648/j.ajtab.20200603.12
AB - This paper serves the purpose to analyses market anomalies and their agents on returns in the Iranian indexes between 2017 and 2020. Principled patterns in financial market are incompatible to the efficient market hypothesis, as stock market returns can be done applying these systematic models. Real investors may not be able to achieve the return and profitability due to the scarcity of their financial resources. Accordingly, the study of the role of real investors in the volatility of stock returns is very important. Well timed actions of investors prices of stocks directly adapt to the new information, and give thought to all the available information. So no investor can chastise the market by generating abnormal returns. The model period is 2017 to 2020 to represent the continuity of the monthly result. This scholarship put upon the advantageous sampling procedure, also known as the judgmental sampling technique, of weekly returns from Iranian indexes and major world indexes based on specific criteria. The demodulations offer an abnormal month of the year outcome stand in some Iranian indexes during the research duration. The vehemence of month of the year anomalies lessens with time. The investigation also illustrate that month of the year factors are more unremitting between indexes with smaller market capitalization.
VL - 6
IS - 3
ER -

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Author Information

Mehran Ansari

Faculty of Management and Accounting, Tehran University, Tehran, Iran
Hojat Jafari

Abadan Faculty of Petroleum Engineering, Petroleum University of Technology, Abadan, Iran

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APA Style

Mehran Ansari, Hojat Jafari. (2020). The Effect of Market Anomalies on the Inefficiency of Stock Returns. American Journal of Theoretical and Applied Business, 6(3), 23-27. https://doi.org/10.11648/j.ajtab.20200603.12

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ACS Style

Mehran Ansari; Hojat Jafari. The Effect of Market Anomalies on the Inefficiency of Stock Returns. Am. J. Theor. Appl. Bus. 2020, 6(3), 23-27. doi: 10.11648/j.ajtab.20200603.12

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AMA Style

Mehran Ansari, Hojat Jafari. The Effect of Market Anomalies on the Inefficiency of Stock Returns. Am J Theor Appl Bus. 2020;6(3):23-27. doi: 10.11648/j.ajtab.20200603.12

Copy | Download

@article{10.11648/j.ajtab.20200603.12,
  author = {Mehran Ansari and Hojat Jafari},
  title = {The Effect of Market Anomalies on the Inefficiency of Stock Returns},
  journal = {American Journal of Theoretical and Applied Business},
  volume = {6},
  number = {3},
  pages = {23-27},
  doi = {10.11648/j.ajtab.20200603.12},
  url = {https://doi.org/10.11648/j.ajtab.20200603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtab.20200603.12},
  abstract = {This paper serves the purpose to analyses market anomalies and their agents on returns in the Iranian indexes between 2017 and 2020. Principled patterns in financial market are incompatible to the efficient market hypothesis, as stock market returns can be done applying these systematic models. Real investors may not be able to achieve the return and profitability due to the scarcity of their financial resources. Accordingly, the study of the role of real investors in the volatility of stock returns is very important. Well timed actions of investors prices of stocks directly adapt to the new information, and give thought to all the available information. So no investor can chastise the market by generating abnormal returns. The model period is 2017 to 2020 to represent the continuity of the monthly result. This scholarship put upon the advantageous sampling procedure, also known as the judgmental sampling technique, of weekly returns from Iranian indexes and major world indexes based on specific criteria. The demodulations offer an abnormal month of the year outcome stand in some Iranian indexes during the research duration. The vehemence of month of the year anomalies lessens with time. The investigation also illustrate that month of the year factors are more unremitting between indexes with smaller market capitalization.},
 year = {2020}
}

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