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

Achoja Felix ODEMERO; Okoh Rosemary NGOZİ

Makale detayları

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

Yazarlar:

Achoja Felix ODEMERO | Okoh Rosemary NGOZİ

Yayıncı:

Mevlüt AKÇURA

Dergi:

Turkish Journal of Agricultural and Natural Sciences 2014 Vol.1 Issue 1, pp.1-9

Belge Tipi:

Makale

Yayın Tarihi:

7/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000671418

Sıklık:

Üç Aylık

pISSN:

2148-3647

Özet:

 

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 (2004 – 2009) were collected from 200 poultry farms using structured questionnaire. Collected data were analyzed using ARCH(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 (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. .

 

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 (2004 – 2009) were collected from 200 poultry farms using structured questionnaire. Collected data were analyzed using ARCH(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 (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. .

Makale detayları

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

Yazarlar: Achoja Felix ODEMERO | Okoh Rosemary NGOZİ

Yayıncı: Mevlüt AKÇURA

Dergi: Turkish Journal of Agricultural and Natural Sciences 2014 Vol.1 Issue 1, pp.1-9

Belge Tipi: Makale

Yayın Tarihi: 7/2014

Belge Dili: Türkçe

Document ID (Org No.): 2000671418

Sıklık: Üç Aylık

pISSN: 2148-3647

Sayı

Yazarlar:

Achoja Felix ODEMERO | Okoh Rosemary NGOZİ

Yayıncı:

Mevlüt AKÇURA

Dergi:

Turkish Journal of Agricultural and Natural Sciences 2014 Vol.1 Issue 1, pp.1-9

Belge Tipi:

Makale

Yayın Tarihi:

7/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000671418

Sıklık:

Üç Aylık

pISSN:

2148-3647