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Registros recuperados: 7
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VALUING AGRICULTURAL MORTGAGE-BACKED SECURITIES AgEcon
Stokes, Jeffrey R.; Brinch, Brian M..
A model to value Federal Agricultural Mortgage Corporation (Farmer Mac) agricultural mortgage-backed securities (AMBS) is developed and numerically solved. The results suggest prepayment penalties currently being used by Farmer Mac reduce yields on AMBS considerably. Even with prepayment penalties, it can be advantageous for profit maximizing mortgagors to optimally prepay or even default on agricultural mortgages. The model is used to quantify prepayment and default risk by valuing the embedded options in the mortgages. Monte Carlo simulation is also used to determine the probability to optimal prepayment given the term structure assumption used to develop the model.
Tipo: Journal Article Palavras-chave: Agricultural mortgage-backed securities; Default; Dynamic programming; Simulation; Prepayment; Agricultural Finance; G13; G21.
Ano: 2001 URL: http://purl.umn.edu/15459
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Information Technology and Credit Scoring at Agricultural Banks in the Northeast and Eastern Corn Belt AgEcon
LaDue, Eddy L.; Cuykendall, Charles H.; Stokes, Jeffrey R..
Tipo: Working Paper Palavras-chave: Agricultural Finance.
Ano: 2001 URL: http://purl.umn.edu/122643
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ECONOMIC EVALUATION OF INCOME PROTECTION CHOICES FOR WEST TENNESSEE CORN PRODUCERS AgEcon
Philpot, Walter; Larson, James A.; Stokes, Jeffrey R..
Farmers need information about the expected value and variability of net revenues for alternative crop insurance and futures hedging strategies to manage risk. Specifically, the model will determine which risk management strategies are most desirable under various levels of risk aversion. The unstable futures basis relation in the data used in the simulation model contributed to increased variability of net revenues. In general, none of the crop insurance or hedging strategies markedly reduced variability of net revenue and relative riskiness when compared with the cash strategy. Revenue Assurance strategies were the most effective at setting a floor on net revenues. As a result, Revenue Assurance products may perform well for extremely risk averse...
Tipo: Conference Paper or Presentation Palavras-chave: Marketing; Risk and Uncertainty.
Ano: 2000 URL: http://purl.umn.edu/21842
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Optimal Agricultural Credit Association Branch Office Locations AgEcon
Scaletta, Timi M.; Stokes, Jeffrey R..
Since the farm financial crisis of the 1980s, Farm Credit System banks continue to merge and consolidate to enhance competitiveness. Two mixed-integer programming models of AgChoice Agricultural Credit Association (ACA), a recently merged ACA in Pennsylvania, were developed to determine the optimal number, location, and territory of branches. The approach suggests useful information can be determined regarding the reconfiguration process after bank mergers, especially given the fact that the current AgChoice ACA configuration is available for comparison purposes.
Tipo: Journal Article Palavras-chave: Agricultural Credit Association; Compromise programming; Farm Credit System; Location model; Mixed-integer programming; C61; G21; Q14.
Ano: 2003 URL: http://purl.umn.edu/37838
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AN ANALYSIS OF BANK CONSOLIDATION TRENDS IN RURAL PENNSYLVANIA AgEcon
Bae, Jeong Hwan; Shields, Martin; Stokes, Jeffrey R..
U.S. banking markets have undergone important structural and institutional changes. Overall, the sector has experienced steady consolidation through mergers and acquisitions that have resulted in fewer banks holding a greater value of the total assets. Despite consolidation, new branch offices and the growth of alternative providers has increased the access to banking-type services. This paper documents and describes trends in the banking industry in Pennsylvania, with special emphasis on rural areas. The first section shows that while the number of "“bricks and mortar”" offices in the state'’s rural counties has grown, the distribution of the growth has been quite uneven. As a result, access has potentially declined for some of the state’'s rural...
Tipo: Conference Paper or Presentation Palavras-chave: Financial Economics.
Ano: 2004 URL: http://purl.umn.edu/20083
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A DERIVATIVE SECURITY APPROACH TO SETTING CROP REVENUE COVERAGE INSURANCE PREMIUMS AgEcon
Stokes, Jeffrey R..
The nature of indemnities and reliance on futures price averaging during two distinct time intervals throughout the production year imply Crop Revenue Coverage (CRC) insurance behaves like an exotic put option. Treating this type of insurance as a derivative security, an analytical model is developed and an algorithm for solving the model to place a lower bound on insurance premiums is presented. Monte Carlo simulation, taking into account the path-dependent nature of an Asian-type option, is then used to determine lower-bound estimates for insurance premiums on corn gross revenue under specified price and yield distributions.
Tipo: Journal Article Palavras-chave: Risk and Uncertainty.
Ano: 2000 URL: http://purl.umn.edu/30839
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Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector AgEcon
Stokes, Jeffrey R..
Data on the number of Pennsylvania dairy farms by size category are analyzed in a Markov chain setting to determine factors affecting entry, exit, expansion, and contraction within the sector. Milk prices, milk price volatility, land prices, policy, and cow productivity all impact structural change in Pennsylvania's dairy sector. Stochastic simulation analysis suggests that the number of dairy farms in Pennsylvania will likely fall by only 2.0 percent to 2.5 percent annually over the next 20 years, indicating that dairy farming in Pennsylvania is likely to be a significant enterprise for the state in the foreseeable future.
Tipo: Journal Article Palavras-chave: Dairy; Maximum entropy; Farm size; Markov chain; Simulation; Farm Management; Industrial Organization.
Ano: 2006 URL: http://purl.umn.edu/10218
Registros recuperados: 7
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