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A Long Memory Conditional Variance Model for International Grain Markets AgEcon
Jin, Hyun Joung.
The study explores a long memory conditional volatility model on international grain markets, demonstrating importance of modeling both temporal effects of volatility and long memory process. This study adopts six different volatility models, nested in an ARMA(p,q)- FIGARCH(P,D,Q), to capture dependence of grain cash price volatility and compares the performance of the six models. It also visits a related question about non-normal behaviors of grain prices and adopts the student-t density intended to account for fat-tailed properties of the data. We find suitability of the FIGARCH type models under the student-t distribution and competitiveness of the parsimonious FIGARCH(1,d,0) for modeling long memory volatility.
Tipo: Journal Article Palavras-chave: International grain markets; Stochastic volatility; FIGARCH; Non-normality; Agribusiness; Agricultural Finance; Crop Production/Industries; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; International Development; International Relations/Trade.
Ano: 2008 URL: http://purl.umn.edu/45654
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Actuarial Implication of Structural Changes in El Niño-Southern Oscillation Index Dynamics AgEcon
Chen, Shu-Ling.
The influence of climate variability on agricultural production and financial risks faced by an individual or an institution has been the center of the public discussion in the recent years. The changing weather patterns and environmental conditions could cause substantial unpredicted economic loss. Failure to capture the changing climate would underestimate the insurance contract’s expected indemnity and further create a major obstacle for insurance sectors. In this paper, we undertake a case study of El Niño-Southern Oscillation Index insurance for coastal Peru proposed by Skees. We examined the behavior of El Niño dynamics and found El Niño indices are changing over time. A class of generalized autoregressive conditional heteroskedasticity (GARCH)...
Tipo: Conference Paper or Presentation Palavras-chave: Actuarial rating; Climate variability; El Niño; Fractional integration ARCH; FIGARCH; Index insurance; Structural change; Agricultural Finance; Financial Economics; Risk and Uncertainty; G21; G22; Q10; Q14.
Ano: 2010 URL: http://purl.umn.edu/61384
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