Journal of Finance and Economics
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Journal of Finance and Economics. 2020, 8(6), 258-267
DOI: 10.12691/jfe-8-6-4
Open AccessArticle

Seasonal Anomalies and Firms Financial Distress; Evidence from Nairobi Securities Exchange, Kenya

Roche Charles1, Dr. Nasieku Tabitha1, and Dr. Olweny Tobias1,

1Department of Economics, Accounting and Finance, School of Business, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

Pub. Date: November 30, 2020

Cite this paper:
Roche Charles, Dr. Nasieku Tabitha and Dr. Olweny Tobias. Seasonal Anomalies and Firms Financial Distress; Evidence from Nairobi Securities Exchange, Kenya. Journal of Finance and Economics. 2020; 8(6):258-267. doi: 10.12691/jfe-8-6-4

Abstract

Stock market generally accepted as security exchange has immensely attracted so much interests from various stakeholders around the world as they endow exceedingly to the growth of the world economy. Kenya’s stock market, Nairobi Securities Exchange, being an emerging market, this study focused on seasonal anomalies as a type of market anomalies which is operationalized monthly. When there is seasonal anomalies, firms tend to exhibit unhealthy financial position which is financial distress. Financial distress takes a huge chunk of challenges which firms face in their day to day operations and is measured by Z-Score. This study takes a departure from the previous studies and assesses listed firms which are trading, under suspension or delisted from the stock markets while at the same time relating seasonal anomalies to financial distress which created a scholarly gap. This study adopts descriptive research design. It also embraced secondary data from 2007 to 2017 from a target population of 67 listed firms which had been licensed by the Capital Market Authority. It was found that there was indeed a relationship between seasonal anomalies and firms’ financial distress. The study recommends that the management must have well thought risk mitigants so as to avoid the harsh repercussions of the seasonal anomalies effects. Investors ought to engage finance experts on investment decisions so as to only invest in financially healthy firms. Policy makers and regulators should have the capability and capacity of unearthing the infamous practice of tax evasion or tax fraud by firms. They should also make sure that information dissemination is done in accordance and within the precincts of the law so as to benefit of all the stakeholders.

Keywords:
securities exchange financial distress seasonal anomalies

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References:

[1]  Karugu, R.M., Memba, F.S. and Muturi, W.M., Effects of Securities Behaviour on Performance of Nairobi Securities Exchange Indices. Research Journal of Finance and Accounting, 9(14), 1-16. 2018.
 
[2]  Olweny, T.O. and Kimani, D., Stock Market Performance and Economic Growth: Empirical Evidence from Kenya Using Causality Test Approach. Advances in Management & Applied Economics, 1 (3), 153-196. 2011.
 
[3]  Hubbard, R. G., Money, the financial system, and the economy, (6th Ed.). USA: Pearson Education, Inc. 217-218. 2008.
 
[4]  Brav, Alon and Heaton, John B., Competing Theories of Financial Anomalies. Review of Financial Studies, 15 (2), 575. 2002.
 
[5]  Karz, G., Historical Stock Market Anomalies. 2010. “Online” http://www.investorhome.com/anomaly.htm (accessed January 2012.
 
[6]  Watchel, Sidney B., Certain Observations on Seasonal Movements in Stock Prices. The Journal of Business, 15, 184-193. 1942.
 
[7]  Aly, H., Mehdian, S. and Perry, M. J., An analysis of the day-of-the-week effects in the Egyptian stock market. International Journal of Business, 9(3), 113-137. 2004.
 
[8]  Hossain, F., Day of the Week Effect in Dhaka Stock Exchange: Evidence From Small Portfolios of Banking Sector. Jahangirnagar Review, Part II: Social Science, 18, 73-82. 2004.
 
[9]  Schwert, G.W., “Anomalies and Market Efficiency”, Handbook of the Economics of Finance, 937-972. 2002
 
[10]  Boudreaux, Denis O., The Monthly Effect in International Stock Markets: Evidence and Implications. Journal of Financial Strategic Decisions, 8(1) 15-19. 1995.
 
[11]  Karadžić, V. and Vulić, T. B., The Montenegrin Capital Market: Calendar anomalies. Economic Annals, LVI (191), 107-121. 2011.
 
[12]  Chan, L.K.C. and Chen, N.F., Structural and Return Characteristics of Small and Large Firms. Journal of Finance, 46, 1467-1484. 1991.
 
[13]  Campbell, John Y., Hilscher, Jens and Szilagyi, Predicting Financial Distress and the Performance of Distressed Stocks. Journal of Investment Management, 9(2), 14-34. 2011.
 
[14]  Campbell, John Y., Hilscher, Jens and Szilagyi, “In Search of Distress Risk,” Journal of Finance, 63, 2899-2939. Jan 2008.
 
[15]  Altman, E.I. and Hotchkiss, E., Corporate Financial Distress and Bankruptcy: Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt, 289. 2010. John Wiley & Sons.
 
[16]  Baimwera, B. and Muriuki, A. M., Analysis of Corporate Financial Distress Determinants: A survey of Non-Financial Firms Listed in the NSE. International Journal of Current Business and Social Sciences, 1 (2), 58-80. 2014.
 
[17]  Avramov, Doron, Chordia, Tarun, Jostova, Gergana, and Philipov Alexander, Anomalies and Finanacial Distress: Journal of Financial Economics, 108, 139-159. 2013.
 
[18]  Arnold, Glen (2016). Corporate Financial Management. 5th Edition. Harlow: Pearson Education Limited.
 
[19]  Maina F. G. and Sakwa M. M., Understanding Financial Distress among Listed Firms in Nairobi Stock Exchange: 2012. A Quantitative Approach Using the Z-Score Multi-Discriminant Financial Analysis Model; JKUAT, Nairobi, Kenya.
 
[20]  CMA, Capital Markets and Securities Public Offers Listings and Amendment Regulations. 2012.
 
[21]  Elena-Dana, Bako and Ioana-Christina, Sechel, Technical and Fundamental Anomalies. Paradoxes of Modern Stock Exchange Markets; Babeș-Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca, Romania. 2013.
 
[22]  Rozeff Michael and Kinney William, Capital Market Seasonality: The Case of Stock Returns. Journal of Financial Economics, 3 (4) 379-402. 1976.
 
[23]  Keim, D. B., Size-related Anomalies and Stock Return Seasonality: Further Empirical Evidence. Journal of Financial Economics, 12(1), 13-32. 1983.
 
[24]  Reinganum, M.R., “The Anomalous Stock Market Behavior of Small Firms in January: Empirical Tests for Tax-Loss Selling Effects”, Journal of Financial Economics, 12, 89-104. 1983,
 
[25]  Brown, Stephen J. and Warner, Jerold B., Using Daily Stock Returns: The Case of Event Studies. Journal of Financial Economics. 14, 3-31. North Holland. 1985.
 
[26]  Raj, M. and Thurston, D., "January or April? Tests of the Turn-of-the-Year Effect in the New Zealand Stock Market", Applied Economic Letters, 1, 81-93. 1994.
 
[27]  Mill, Terrence C. and Coutts, Andreas J., Calendar Effects in the London Stock Exchange FT-SE Indices. European Journal of Finance, 1(1), 79-93. 1995.
 
[28]  Ramcharan, R., “Seasonality and Infestation Period”. 1997.
 
[29]  Choudhary, T., Month of the Year Effect and Januray Effect in Pre-WWI Stock Returns: Evidence from a non-linear GARCH', International Journal of Finance & Economics, 6, 1-11. 2001.
 
[30]  Fountas, Stlianos and Segredakis, Konstantinos N., Emerging Stock Market Return Seasonalities: The January Effect and the Tax-Loss Selling Hypothesis. Applied Financial Economics. 12 (4), 291-299. 2002.
 
[31]  Ariel, R.A., A Monthly Effect on Stock Returns. Journal of Financial Economics, 18(1), 161-174. 1987.
 
[32]  Darrat, A.F., Li, B., Liu, B. and Su, J.J., A Fresh Look at Seasonal Anomalies: An International Perspective. International Journal of Business and Economics, forthcoming, 10(2), 93-116. (2012).
 
[33]  Ziemba William T., Japanese Security Market Regularities: Monthly, Turn-of-the-Month and Year and Golden Week Effects. Japan and the World Economics, 3(2), 119-146. 1991.
 
[34]  Agrawal, A. and Tandon, K., “Anomalies or Illusions? Evidence from Stock Markets in Eighteen Countries.” Journal of International Money and Finance, 13, 83-106. 1994.
 
[35]  Ligon, J. A., "A Simultaneous Test of Competing Theories Regarding the January Effect”, 2 (1), 13-23. 1997.
 
[36]  Basher, S. A. and Sadorsky, P., Day-of-the-Week Effects in Emerging Stock markets. Applied Economic Letters, 13, 621-628. 2006.
 
[37]  Lakonishok, J. and Smidt, S., Are Seasonal Anomalies Real? A Ninety Years Perspective: A Review of Financial Studies, 1(4), 403-425. 1998.
 
[38]  Ariel, Robert A., High Stock Returns Before Holidays: Existence and Evidence on Possible Causes. The journal of Finance. 45(5), 1611-1626. 1990.
 
[39]  Cadsby, Charles and Ratner, Mitchell, Turn-of-Month and Pre-holiday Effects on Stock Returns: Some International Evidence. Journal of Banking and Finance, 16(3), 497-509. 1992.
 
[40]  Husain, Fazal, A Seasonality in the Pakistani Equity Market: The Ramadhan Effect. The Pakistan Development Review, 37(1), 77-81. 1998.
 
[41]  Kelly, F., Why You Win or Lose: The Psychology of Speculation. Boston: Houghton Mifflin. 1930.
 
[42]  Hirsch, Y., The Stockholder’s Almanac, The Hirsch Organization, Old Tappan N. J. 1968.
 
[43]  Cross, F., The Behavior of Stock Prices on Fridays and Mondays. Financial Analysts Journal, 67-69. 1973.
 
[44]  Gibbons, Michael R. and Hess, Patrick, “Day of the Week Effects and Assets Returns”. The Journal of Business, University of Chicago Press, 54(4), 579-596. 1981.
 
[45]  Smirlock, Michael and Laura, Starks, “Day of the Week and Intraday Effects in Stock Returns,” Journal of Financial Economics, 17, 197-210. 1986.
 
[46]  Jaffe, J. and Westfield, R., Patterns in Japanese Common Stock Returns: Day of the Week and Turn of the Year. Journal of Financial and Quantitative Analysis, 20 (2), 261-272. 1985.
 
[47]  Brooks, C. and Persand, G., Seasonality in Southeast Asian Stock Markets: Some New Evidence on Day-of-the-Week Effects. Applied Economic Letters, 8(3), 155-158. 2001.
 
[48]  Ajayi, R.A., Mehdian, S. and Perry, M.J., The Day-of-the-Week in Stock Returns: Further Evidence from Eastern European Emerging Markets. Emerging Markets Finance and Trade, 40(4), 53-62. 2004.
 
[49]  Pandey, I.M., “Financial Management”, 11th Edition. Vikas Publishing House Pvt Ltd. New Delhi. 2017.
 
[50]  Tonchev, D. and Kim, T.H., Calendar effects in Eastern European financial markets: Evidence from the Czech Republic, Slovakia and Slovenia. Applied Financial Economics, 14(14), 1035-1043. 2004.
 
[51]  Worthington, A.C., The Decline of Calendar Seasonality in the Australian Stock Exchange, 1958-2005. Annals of Finance, 6(3), 421-433. 2010.
 
[52]  Dzhabarov, C. and Ziemba, W.T., Do Seasonal Anomalies Still Work? Journal of Portfolio Management, 36, 93-104. 2010.
 
[53]  Gultekin, M. and Gultekin, B. (1983). Stock market seasonality: international evidence. Journal of Financial Economics, 12(4), 469-482. 1983.
 
[54]  Keim, D. and Stambaugh, R., A Further investigation of the weekend effect in stock returns. Journal of Finance, 39(3), 819-835. 1984.
 
[55]  Cho Young-Hyun, Linton Oliver and Whang Yoon-Jae, Are There Monday Effects in Stock Returns: A Stochastic Dominance Approach. Journal of Empirical Finance, 2007, 14 (5), 736-755.
 
[56]  Alagidede, P., Day of the Week Seasonality in African Stock Markets. Applied Financial Economics Letters, 4(2), 115-120. 2008a.
 
[57]  Alagidede, P., Month-of-the-year and Pre-holiday Seasonality in African Stock Markets. University of Stirling Economics, Discussion Paper 2008 - 23. 2008b.
 
[58]  Lucey, B.M. Friday the 13th: International evidence. Applied Economics Letters, 8(9), 577-579. 2001.
 
[59]  Coutts, J.A. and Sheikh, M.A., The Anomalies That Aren't There: The Weekend, January and Pre-Holiday Effects on The All Gold Index on The Johannesburg Stock Exchange 1987-1997. Applied Financial Economics, 12(12), 863-871. 2002.
 
[60]  Ayadi, F.O., Dufrene U.B. and Chatterjee A. Stock Return Seasonalities in Low-Income African Emerging Markets. Managerial Finance. 24(3) 22-32. 1998.
 
[61]  Bhana, N, The Share Market Reaction to Earnings Announcements-A Test of the Efficiency of the Johannesburg Stock Exchange. Investment Analysts Journal. 42, 45-57. 1995.
 
[62]  Roux Le and Smit E., Seasonal Patterns on the Johannesburg Stock Exchange: Some New Evidence. Studies in Economics and Econometrics. 25(1), 27-61. 2001.
 
[63]  Mlambo C. and Bkiepe N., Seasonal Effects: Evidence from Emerging African Stock Markets. South African Journal of Business Management. 37(3) 41-52. 2006.
 
[64]  Chukwuogor-Ndu Chiaku, An Econometric Analysis of African Stock Market: Annual Returns Analysis, Day-of-the-week Effect and Volatility of Returns. International Research Journal of Finance and Economics. 14, 369-378. 2007.
 
[65]  Subadar, Agathee, “Calendar Effects and the Months of the Year: Evidence from the Mauritian Stock Exchange”. International Research Journal of Finance and Economics, 14, 254-261. 2008.
 
[66]  Kuria, A.M. and Riro, G.K., Stock Market Anomalies: A Study of Seasonal Effects on Average Returns of Nairobi Securities Exchange; Research Journal of Finance and Accounting, 4(7). 2013.
 
[67]  Memba F. and Abuga J., Causes of Financial Distress: A Survey of Firms Funded by Industrial and Commercial Development Corporation in Kenya, 4(12). 2013. Interdisciplinary Journal of Contemporary Research in Business. Institute of Interdisciplinary Business Research.
 
[68]  Jahur, S.M. and Quardir, N.M., Financial Distress in Small and Medium Enterprises of Bangladesh: Determinants and Remedial Measure. Economia Management, 15(1), 46-61. 2012.
 
[69]  Harlan, D.P. and Marjorie, P., Comparing Financial Distress and Bankruptcy. Review of Applied Economics, 2(2). 2006..
 
[70]  Kihooto, E., Omagwa, J., Wachira, M. and Emojong R., Financial Distress in Commercial and Services Companies Listed at Nairobi Securities Exchange, Kenya; European Journal of Business and Management, 8 (27). 2016.
 
[71]  Aguilar, E., Aziz Barry, A., Brunet, M., Ekang, L., Fernandes, A., Massoukina, M., Mbah, J., Mhanda, A., do Nascimento, D.J., Peterson, T.C., Thamba Umba, O., Tomou, M. and Zhang, X., Changes in Temperature and Precipitation Extremes in Western Central Africa, Guinea Conakry and Zimbabwe, 1955–2006. Journal of Geophysical Research 114. 2009.
 
[72]  Miles, M. B., and Huberman, A. M., Qualitative Data Analysis: An Expanded Source Book (2nd Ed.) Newbury Park, CA: Sage, 440. 2009.
 
[73]  Dawson, J.F., Moderation in Management Research: What, Why, When and How. Journal of Business and Psychology, 29, 1-19. 2014.
 
[74]  Kombo, D.K., and Tromp, D.L.A., Proposal and Thesis Writing: An Introduction. Paulines Publications Africa, Don Bosco Printing Press, Nairobi Kenya. 2013.
 
[75]  Kothari, C.R., "Research Methodology: Methods & Techniques" (Second Revised Edition), New Age International Publishers, New Delhi. 2009.
 
[76]  Grove, S.K., Burns, N. and Gray, J.R., Understanding Nursing Research: Building and Evidence-Based Practice. Elsevier Health Sciences. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins. 2014.
 
[77]  Cooper, R. D. and Schindler, P. S., Business Research Methods. 12th Edition. McGraw-Hill Education. New York. 2014.
 
[78]  Bajpai, V. and Singh, R., “Orthogonal Micro-grooving of Anisotropic Pyrolytic Carbon”, Materials and Manufacturing Processes, 26(10-12), 1481-1493. 2011.
 
[79]  Mugenda A. and Mugenda M., Research Methods, Quantitative and Qualitative Approaches, Nairobi. African Centre for Technology Studies (ACTS). 2013.
 
[80]  Sekaran, U. and Bougie, R., Research Methods for Business: A Skill Building Approach. 5th Edition. Aggarwal Printing Press, Delhi. 2011.
 
[81]  Parahoo, Kader, Nursing Research: Principles, Processes and Issues. 3rd Edition. Macmillan Education, United Kingdom. 2014.
 
[82]  Saunders, M., Lewis, P. and Thornhill, A., Research Methods for Business Students. Pearson Education Ltd, Harlow. 2012.
 
[83]  Kothari, C. R. and Garg G., Research Methodology. Methods and Techniques, 3rd Ed. New Age International Publishers: New Delhi. 2014.
 
[84]  Williams, M.K., Research Methods Knowledge Base, http://www.socialreserachmethod.net. 2006.
 
[85]  Jarque, C.M. and Bera, A.K., A Test for Normality of Observations and Regressions Residuals. International Statistical Review, 55, 163-172. 1987.
 
[86]  Altman, Edward I., Predicting Financial Distress of Companies: Revisiting the Z-Score and Zeta models, New York University. 2000.
 
[87]  Levin, A., Lin, C., & Chu, C., Unit Root Test in Panel Data: Asymptotic and Finite Sample Properties. Journal of Econometrics, 108 (1), 1-24. 2002.
 
[88]  Im, K. S., Pesaran, M. H., & Shin, Y., Testing for Unit Roots in Heterogeneous Panels. Journal of Economics. 115, 53-74. 2003.
 
[89]  Dickey, D.A and Fuller, W.A., The Likelihood Ratio Statistics for the Autoregressive Time Series With a Root Test, Economic Review, 49, 1057-1072. 1981.
 
[90]  Plackett, R.L. and Pearson, K., The Chi-squared Test. Int. Statist. 51, 59-72. 1983.
 
[91]  Hausman, J.A. (1978). Specification Tests in Econometrics. Econometrica, 46, 1251-1271. 1978.
 
[92]  Westfall, Peter, Kurtosis as Peakedness, 1905-2014, RIP. The American Statistician, 68. 2014.
 
[93]  Adams, John C., Hayunga, Darren K., Mansi, S., Reeb, David M. and Verardi, Vincenzo, 2018. Identifying and Treating Outliers in Finance. Financial Management.
 
[94]  Kendall, Maurice, “The Analysis of Economic Time Series”, Journal of the Royal Statistical Society, Series A, 96, 11-25. 1953.
 
[95]  Onyuma, S.O. (2009). Day-of-the-week and Month-of the-Year Effect on the Kenyan Stock Market Returns. East African Social Science Research Review, 25(2), 53-74. 2009.