This study proposed a theoretical framework for analyzing farm capital structure choice. The theoretical model recognizes that the costs of debt are endogenously determined which in turn reflect the degree of credit constraint faced by individual borrowers. Based on the proposed model, we...

Accurately forecasting volatility at distant horizons is critical for managing long-term risk in agriculture. Given the poor performance of GARCH-type models at long-term volatility forecast, we develop a risk-adjusted implied volatility, which adjust the risk-neutral implied volatility by...

MS-GARCH option pricing model proposed in this paper accommodates new features of corn futures price movement in the era of biofuel production and therefore is more general. Our findings show that this new model will outperform models used in the existing literature both for the in-sample and...

We use newly nonparametric volatility measures and break techniques to estimate common breaks across grain futures over the recent ten years. Our results show one structural change in realized volatilities occurred in 2006 for corn and in 2007 for soybean. But the date difference between them...

Recent development in production risk analyses has raised questions on the conventional approaches to estimating risk preferences. This study proposes to identify the risk separately from input equations with a seminonparametric estimator. The approach circumvents the issue of arbitrary risk...

Non-optimal behavior due to budget constraint or credit availability is commonly observed in agricultural production. Not accounting for non-optimal behavior would result in biased estimates of risk preferences. A generalized model is developed in this article for estimating agents’ risk...