Purpose: This paper demonstrates that present value (PV) models can be viewed as multiperiod extensions of accrual income statements (AISs). Failure to include AIS details in PV models may lead to inaccurate estimates of earnings and rates of return on assets and equity and inconsistent...

Purpose: This paper aims to use coordinated financial statements' system properties that include exogenous and endogenous variables to answer important questions. These questions include the following: What is the financial condition of the firm? What if there is a change in the firm's...

A stochastic, multi-period simulation model is developed based on the prevalent capital structure theories, in searching for and identifying an optimal combination of related financing strategies. The model reflects both conceptual and empirical implications of the pecking order, trade-off and...

Purpose – The purpose of this paper is to introduce the application of sustainable growth challenge (SGC) model in agricultural finance as a conceptual paradigm and then uses the model to measure sustainable growth rates for Illinois grain and livestock farmers. The SGC concept is used to...

This study introduces two Markov chain time approaches, time-homogeneous and nonhomogeneous models, for analyzing farm credit risk migration as alternatives to the traditional discrete-time (cohort) method. The Markov chain models are found to produce more accurate, reliable transition...

The non-depreciability characteristic of farmland value implies that farm delinquencies and default may not necessarily lead to loan loss. Considering this, a model under the framework of Value-at-Risk is developed to estimate probabilities of debt coverage by farmland that is mortgaged to...

This paper reviews the prevalence of the use of risk ratings by commercial banks that participated in the Federal Reserve’s Survey of Terms of Bank Lending to Farmers between 1997 and 2002. Adoption of risk rating procedures held about steady over the period, with a little less than half the...

Logistic regression techniques for panel data are used to identify factors affecting farm credit transition probabilities. Results indicate that most farm‐specific factors do not have adequate explanatory influence on the probability of farm credit risk transition. Class upgrade probabilities...

The non‐depreciability characteristic of farmland value implies that farm delinquencies and default may not necessarily lead to loan loss. Considering this, a model under the framework of Value‐at‐Risk is developed to estimate probabilities of debt coverage by farmland that is mortgaged to...

This study introduces two Markov chain time approaches, time‐homogeneous and nonhomogeneous models, for analyzing farm credit risk migration as alternatives to the traditional discrete‐time (cohort) method. The Markov chain models are found to produce more accurate, reliable transition...