This paper examines farmland investment decisions using a stochastic dynamic programming framework. Consideration is given to the dynamic, stochastic nature of farmland returns, linkages between farmland returns and farmland prices, and the effects of the above dynamic factors on a farm's financial structure. Optimal decisions to purchase or sell farmland are found for a central Illinois farm with high quality farmland. Sizes and debt distributions are then determined, given that the optimal decision rule is followed. Decisions from the dynamic programming model also are compared to a capital budgeting model
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
Factors affecting a lender's decision to grant farmers operating credit in North Dakota are quantifi...
The purpose of this research is to determine and examine optimal grain marketing decisions utilizing...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
This dissertation investigates farm firm growth using a multiperiod investment portfolio problem tha...
A stochastic dynamic programming model is used to compare the farmland investment impact of a fully ...
This research analyzes optimal off-farm investment decisions for a Central Illinois hog farm in the ...
This research develops a theoretical framework within which the impact of farmland capital gains and...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
In this paper we use stochastic dynamic programming for modelling the investment decision of a lando...
The attractiveness of agricultural land available in developing countries has markedly increased in ...
It is interesting to note that there appears to be an increase in the use of dynamic program-ming in...
A stochastic dynamic programming model is developed to determine optimal decision rules for marketin...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
Factors affecting a lender's decision to grant farmers operating credit in North Dakota are quantifi...
The purpose of this research is to determine and examine optimal grain marketing decisions utilizing...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
This dissertation investigates farm firm growth using a multiperiod investment portfolio problem tha...
A stochastic dynamic programming model is used to compare the farmland investment impact of a fully ...
This research analyzes optimal off-farm investment decisions for a Central Illinois hog farm in the ...
This research develops a theoretical framework within which the impact of farmland capital gains and...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochas...
In this paper we use stochastic dynamic programming for modelling the investment decision of a lando...
The attractiveness of agricultural land available in developing countries has markedly increased in ...
It is interesting to note that there appears to be an increase in the use of dynamic program-ming in...
A stochastic dynamic programming model is developed to determine optimal decision rules for marketin...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
Factors affecting a lender's decision to grant farmers operating credit in North Dakota are quantifi...
The purpose of this research is to determine and examine optimal grain marketing decisions utilizing...