Journal of Finance and Economics
ISSN (Print): 2328-7284 ISSN (Online): 2328-7276 Website: http://www.sciepub.com/journal/jfe Editor-in-chief: Suman Banerjee
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Journal of Finance and Economics. 2017, 5(2), 76-84
DOI: 10.12691/jfe-5-2-5
Open AccessArticle

Volatility Spillover of the Agriculture Sector on the Nairobi Securities Exchange

Chuchu Michael Nyangasi1, and John Olukuru1

1Strathmore University, School of Finance and applied Economics

Pub. Date: April 06, 2017

Cite this paper:
Chuchu Michael Nyangasi and John Olukuru. Volatility Spillover of the Agriculture Sector on the Nairobi Securities Exchange. Journal of Finance and Economics. 2017; 5(2):76-84. doi: 10.12691/jfe-5-2-5

Abstract

This paper investigates the existence and magnitude of volatility spillovers among equities on the Nairobi Securities Exchange. The multivariate VARMA-GARCH model is used to test for spillover effects between four broad sectors of the NSE: Agricultural, Financial, Commercial and Services and Industrial. The significance of the parameters of the model are used as an indicator of the spillover effect between sectors. Based on the empirical results, the biggest volatility spillover is from the commercial and services sector to the broad industrial sector. There are also significant spillovers from the industrial and agricultural sectors to the financial and commercial and services sectors, as well as from the financial and commercial and services sectors to the broad industrial sector.

Keywords:
volatility spillovers NSE VARMA-GARCH

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References:

[1]  Schwert, W. G. (1990). Stock MArket Volatility. Financial Analysts Journal, 46(3), 23-34.
 
[2]  Natarajan, V. K., Singh, A. R., & Priyac, N. C. (2014). Examining mean-volatility spillovers across national stock markets. Journal of Economics, Finance and Administrative Science, 55-62.
 
[3]  Hammoudeh, S. M., Yuan, Y., & McAleer, M. (2009, August). Shock and Volatility Spillovers Among Equity Sectors of the Gulf Arab Stock Markets. The Quarterly Review of Economics and Finance, 49(3), 829-842.
 
[4]  Nairobi Securities Exchange. (n.d.). Nairobi Securities Exchange - Listed Companies. Retrieved June 15, 2015, from Nairobi Securities Exchange: https://www.nse.co.ke/listed-companies/list.html?start=50.
 
[5]  Haugen, R. A., Talmor, E., & Torous, W. N. (1991). The Effect of Volatility Changes on the Level of Stock Prices and Subsequent Expected Returns. The Journal of Finance, 46(3), 985-1007.
 
[6]  Engle, R. F., & Kroner, K. F. (1995). Multivariate Simultaneous Generalized ARCH. Econometric Theory, 11, 122-150.
 
[7]  Singh, P., Kumar, B., & Pandey, A. (2010). Price and volatility spillovers across North American, European and Asian stock markets. International Review of Financial Analysis, 19(1), 55-64.
 
[8]  Kouki, I., Harrathi, N., & Haque, M. (2011). A Volatility Spillover among Sector Index of International Stock Markets. Journal of Money, Investment and Banking(22), 32-45.
 
[9]  Ling, S., & McAleer, M. (2003). Asymptotic Theory for a Vector ARMA-GARCH Model. Econometric Theory, 19, 280-310.
 
[10]  Harris, R. D., & Pisedtasalasai, A. (2006). Return and Volatility Spillovers Between Large and Small Stocks in the UK. Journal of Business Finance & Accounting, 33(9 & 10), 1556-1571.
 
[11]  Bollerslev, T. (1990). Modelling the coherence in the short -run nominal exchange rates: A multivariate generalized ARCH approach. Review of Economics and Statistics, 72, 498-505.
 
[12]  Wagala, A., Nassiuma, D. K., Islam, A. M., & Mwangi, J. W. (2012). Volatility Modelling of the Nairobi Securities Exchange Weekly Returns Using the Arch-Type Models. International Journal of Applied Science and Technology, 2(3), 165-174.
 
[13]  Forgha, N. G. (2012). An Investigation into the Volatility and Stock Returns Efficiency in African Stock Exchange Markets. International Review of Business Research Papers, 8(5), 176-190.
 
[14]  Tah, K. A. (2013). Relationship between Volatility and Expected Returns in Two Emerging Markets. Business and Economics Journal, 84.
 
[15]  Bartram, S. M., & Dufey, G. (2001). International Portfolio Investment: Theory, Evidence, and Institutional Framework.
 
[16]  King, B. (1966). Market and Industry Factors in Stock Price Behavior. Journal of Business(39), 130-190.
 
[17]  Lessard, D. (1974). World, National, and Industry Factors in Equity Returns. Journal of Finance(29), 379-391.
 
[18]  Lessard, D. (1976). World, Country, and Industry Relationship in Equity Returns: Implications for Risk Reduction through International Diversification. Financial Analysts Journal (32), 32-38.
 
[19]  Heston, S. L., & Rouwenhorst, G. K. (1994). Does Industrial Structure Explain the Benefits of International Diversification? Journal of Financial Economics(36), 3-27.
 
[20]  Griffin, J. M., & Karolyi, G. A. (1998). Another Look at the Role of the Industrial Structure of Markets for International Diversification Strategies. Journal of Financial Economics(50), 351-373.
 
[21]  Ehling, P., & Ramos, S. B. (2003). Geographical Versus Industrial Diversification: A Mean Variance Spanning Approach. FAME- International Center for Financial Asset Management and Engineering.
 
[22]  Cummins, J. D., Wei, R., & Xie, X. (2011). Financial Sector Integration and Information Spillovers: Effects of Operational RIsk Events on U.S. Bank and Insurers.