Stochastic Risk Volatility Forecasting in Poultry Agribusiness in Delta State, Nigeria

Authors : Achoja Felix ODEMERO, Okoh Rosemary NGOZİ

Pages : 1-9

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Publication Date : 2014-07-26

Article Type : Research Paper

Abstract :The dearth of information on financial risk has negative effect on the growth of poultry agribusiness. The purpose of the study was to determine the mean financial risk volatility in poultry agribusiness in Delta state, Nigeria. Six years panel data insert ignore into journalissuearticles values(2004 – 2009); were collected from 200 poultry farms using structured questionnaire. Collected data were analyzed using ARCHinsert ignore into journalissuearticles values(5,5); Model and Time Response Model. Test of hypothesis using Durbin Watson statistics indicated that there is no volatility clustering of financial returns. The result of ARCH model showed a random walk insert ignore into journalissuearticles values(i.e. upward and downward swings); of standard error of financial risk with a mean volatility of 7.5% in poultry agribusiness over the 6 years period. Time Response prediction model gave an impression that short run forecast of financial risk volatility in poultry agribusiness is feasible. The study recommends early warning / early mitigate for measures of the short run to manage financial risk in poultry industry.
Keywords : Financial, Risk, Volatility, Forecasting, Poultry, Enterprise