Systematic risk and performance of stock market in Kenya
Nathan Mwenda Mutwiri ORCID ↗ · Job Omagwa · Lucy Wamugo
International Journal of Research in Business and Social Science · 2021 · Vol. 10 / Issue 4 · 204-214
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Abstract
Stock prices in Kenya have been experiencing drastic volatility over the years. In the year 2015 alone, the value of the listed companies shrunk by about 2.5 billion USD, representing about 25% of the national government annual budget. The performance of the stock market is an important proxy of a country’s economic environment. Rational investors constantly value and revise their portfolio composition so as to maximize their wealth. Whereas effectively diversified portfolio minimizes the unsystematic risk, systematic risks cannot be managed by simple diversification. Investors, therefore, need to understand the effect of these systematic risks on the stock performance. The study sought to determine the relationship between systematic risk factors using Inflation and interest rates and the performance of the stock market in Kenya. The study adopted a positivist philosophy and employed a correlation research design. The study targeted all the stock listed in the Nairobi Securities exchange. The study was underpinned by the Efficient Market Hypothesis, Arbitrage Pricing theory, and used integration analysis to establish the relationships between the variables of the study. The study found a significant long-run positive relationship between interest rate, inflation, and performance of the stock market in Kenya. Investment firms, the financial analyst should use past data on 91 Treasury bills rate and Inflation, to predict the future performance of stock exchange for the benefit of investors.
Authors & affiliations
Nathan Mwenda Mutwiri
Affiliation not supplied
Job Omagwa
Affiliation not supplied
Lucy Wamugo
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DOI: 10.12955/ejbe.v8i2.378
Ahmed, E. M. (2011). The long run relationship between money supply, real GDP, and price level:Emperical evidence from Sudan. Journal of Business studies .
Alshogeathri, M. A. (1998). Macroeconomic determinants of the stock movements: empirical evidence from the Saudi stock market. M.S king Saud University.
DOI: 10.1111/j.1540-6261.1996.tb05206.x
Apiyeva, D. (2007). The determinants of stock market performance in emerging economies: the case of Latin America and Asia pacific. June Middlesex university research repository.
Barnor, C. (2014). The effect of macroeconomic variables on stock market returns in Ghana. Walden university.
C.B.K. (2017). Www.cbk.or.ke. Retrieved 2020, from central bank of Kenya.
Central bank of Kenya. (2011). Monetary policy statement. Nairobi: central bank.
DOI: 10.1111/j.1468-5957.1994.tb00322.x
Dimitrova, D. (2005). The relationship between exchange rates and Stocks prices:Studied in a multivariate model. Issues in political economy, 14 .
Dobbs,R.,& Koller,T.(2005).Mckinssey &company.Retrieved may5th,2017, from mckinsey: http://www.mckinsey.com
DOI: 10.1080/07474939608800362
Erdugan, R. (2012). The effect of economic Factors on perfomance Of Australian Stock Market. Melbourne: Victoria University Melbourne.
DOI: 10.2307/2325486
DOI: 10.1111/j.1540-6261.1996.tb05202.x
Gatuhi, S. K. (2015). Macroeconomic factors and stock market performance in Kenya. Jomo Kenyatta University of agriculture and technology.
DOI: 10.1016/S1062-9769(00)00042-9
Handa, C. (2005). Irrelevance of Open Market Operations in Some Economies with Government being Dominated in rateof return.
Ifionu, E. P., & Ibe, r. C. (2015). Inflation, interest rates, real gross domestic product and stock prices on the Nigerian stock exchange: a post sap impact analysis. Research journal of finance and accounting,6(14) , 215-223.
DOI: 10.1111/j.1540-6261.1968.tb00815.x
DOI: 10.1016/0165-1889(88)90041-3
Kazi, M. H. (2004). Systematic risks factors in Australian security pricing. New south wales, Australia: school of economics and finance, college of law and business, university of west Sydney.
DOI: 10.12691/jfe-5-5-4
Kitati, E., Evusa, Z., & Maithya, H. (2015). Effect of Macroeconomic Variables on Stock Market Prices for the Companies Quoted on the Nairobi Securities Exchange in Kenya. International Journal of sciences:Basic and Apllied Reserach, 21(5) , 235-265.
Kothari, C. R. (2004). Research methodology: methods and techniques. Delhi: new age international (p) ltd publishers.
Mwaniki, C. (2015, May 4). Nse ranked Second Stock Exchange in Africa. Business daily
Mishkin, F. S. (2011). Monetary policy strategy. Nber working papers series.
Muhammand, N., & Rasheed, A. (2001). Stock prices and exchange Rates: Are they related? Evidence from South asian Countries. Pakistan, Karanchi: Applied Economic Reserach Center.
DOI: 10.6007/IJARAFMS/v7-i1/2542
DOI: 10.2139/ssrn.984734
Nguyen, T. T. (2016). Macroeconomic indicators and the stock market returns in emerging economies: the case of Vietnam. London: Cardiff metropolitan university.
DOI: 10.3126/jbmr.v1i1.14549
Poi, B., & Wiggins, V. (2001). Testing for panel-level heteroskedasticity and autocorrelation.
Retrieved from http://www.stata.com/support/faqs/stat/panel.html
Reddy, D. L. (2012). Impact on inflation and GDP on stock market returns in India. International journal of advanced research in management and social sciences, 63-81.
DOI: 10.1016/0022-0531(76)90046-6
Rotich, H., Kathanje, m., & Maana, I. (2007). A monetary policy reaction function for Kenya. 13th annual African econometric society conference,Pretoria.
Tursoy, T., Gunsel, N., & Rjoub, h. (2008). Macroeconomic factors, the apt and Istanbul stock market. International research of finance and economics.
DOI: 10.18235/0010958
Venkatesan, k. (2010). Testing random walk hypothesis of Indian stock market returns: evidence from the national stock exchange (nse). Sri lanka: University of Kelaniya.
Wang, T., & Huang, Z. (2012). The relationship between volatility and Trading Volume in the chinese stock market:a voltility decomposing perspective. Annals of Economic and Finance , 211-236