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Journals / Türk Tarım ve Doğa Bilimleri Dergisi / 2014 / Cilt: 1 - Sayı: 1

Nijerya Delta Eyaleti Tavukçuluk Endüstrisinde Stokastik Risk Olarak Fiyat Değişimlerinin Tahmini

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

Achoja Felix ODEMERO
Okoh Rosemary NGOZİ
Pages
1–9
Publication Date
2014-07-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study recommends early warning / early mitigate for measures of the short run to manage financial risk in poultry industry.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The dearth of information on financial risk has negative effect on the growth of poultry agribusiness.
📊
Key Findings & Data:Six years panel data (2004 – 2009) were collected from 200 poultry farms using structured questionnaire.
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Conclusion & Impact:The study recommends early warning / early mitigate for measures of the short run to manage financial risk in poultry industry.
🔬Design:Survey & Empirical Study
📍Scope:2004 – 2009 Verileri
⚙️Variables:Financial · Risk · Volatility

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 (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.

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.

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Cite This Article

ODEMERO, A. F., NGOZİ, O. R. (2014). Nijerya Delta Eyaleti Tavukçuluk Endüstrisinde Stokastik Risk Olarak Fiyat Değişimlerinin Tahmini. Türk Tarım ve Doğa Bilimleri Dergisi, Cilt: 1 - Sayı: 1, 1–9. https://ajindex.com/articles/706798

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