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Cálculo del costo de la prima de un seguro contra caída del precio de maíz blanco: Caso Sinaloa. Colegio de Postgraduados
Rivera Silva, Ana Laura.
El presente trabajo compara el costo total de una póliza de seguros para la caída de precios del maíz blanco de Sinaloa contra el costo de la cobertura simple ofrecida por ASERCA. El comportamiento sistemático de los precios fue modelado con un modelo autorregresivo, mientras que la parte aleatoria fue manejada por un ajuste de una distribución de Laplace a los residuales. Los resultados muestran que la prima del seguro por tonelada es al menos tan buena como la prima para ofrecida para la cobertura de ASERCA. El diferencial del costo y el hecho de que una póliza de seguro opera directamente en pesos; muestran que el seguro es una alternativa para la gestión de riesgos en los precios del maíz, con una menor carga a los contribuyentes. _______________...
Palavras-chave: ASERCA; Cobertura; Distribución Laplace; Maíz; Prima; Seguro; Hedging; Insurance; Laplace distribution; Premium; Maestría; Economía.
Ano: 2010 URL: http://hdl.handle.net/10521/196
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Cálculo del costo de la prima de un seguro contra caída del precio de maíz blanco: Caso Sinaloa. Colegio de Postgraduados
Rivera Silva, Ana Laura.
El presente trabajo compara el costo total de una póliza de seguros para la caída de precios del maíz blanco de Sinaloa contra el costo de la cobertura simple ofrecida por ASERCA. El comportamiento sistemático de los precios fue modelado con un modelo autorregresivo, mientras que la parte aleatoria fue manejada por un ajuste de una distribución de Laplace a los residuales. Los resultados muestran que la prima del seguro por tonelada es al menos tan buena como la prima para ofrecida para la cobertura de ASERCA. El diferencial del costo y el hecho de que una póliza de seguro opera directamente en pesos; muestran que el seguro es una alternativa para la gestión de riesgos en los precios del maíz, con una menor carga a los contribuyentes. _______________...
Palavras-chave: ASERCA; Cobertura; Distribución Laplace; Maíz; Prima; Seguro; Hedging; Insurance; Laplace distribution; Premium; Maestría; Economía.
Ano: 2010 URL: http://hdl.handle.net/10521/196
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Characterizing Distributions of Class III Milk Prices: Implications for Risk Management AgEcon
Wang, Dabin; Tomek, William G..
Descriptive statistics and time-series econometric models are used to characterize the behavior of monthly fluid milk prices. Prices in April, May and June appear to be more variable than those in subsequent months, and the spring-time prices are perhaps skewed. Econometric models can capture the historical behavior of spot prices, but forecasts converge to the marginal distribution of the sample prices in about six months. Futures prices for Class III milk have the expected time-to-maturity effect and converge to the respective monthly distributions of the cash prices at contract maturity (as they must, since the contracts are cash settled). Thus, econometric models and futures quotes provide similar information about price behavior at contract...
Tipo: Conference Paper or Presentation Palavras-chave: Hedging; Marketing strategies; Milk futures; Milk prices; Risk management; Risk and Uncertainty.
Ano: 2005 URL: http://purl.umn.edu/19322
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Underdeveloped Spot Markets and Futures Trading: The Soya Oil Exchange in India AgEcon
Ramaswami, Bharat; Singh, Jatinder.
Abstract The limited presence of futures exchanges in developing countries where commodity markets fall short of the ideal underscore the importance of understanding the relation between spot and futures markets. The paper examines the exceptional success of the soya oil contract at the National Board of Trade (NBOT) in India. The paper asks whether the NBOT contract exhibits the fundamental features of mature futures markets in terms of its use by hedgers. If the market offers arbitrage opportunities to hedgers and if such activity is significant, then the activities of commercial firms should affect the returns to their hedging portfolio i.e., change in basis. This insight is developed into an examination of the impact of soya oil imports on the basis....
Tipo: Conference Paper or Presentation Palavras-chave: Basis; Hedging; Futures market; Spot markets; Soya oil; Marketing; G13; Q13.
Ano: 2007 URL: http://purl.umn.edu/7919
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U.S. Commodity Futures Trading Commission vs. Marketing Advisory Services, Inc.: A Case Study AgEcon
Conley, Dennis M..
The IFAMR is the Official Journal of the International Food and Agribusiness Management Association: www.ifama.org
Tipo: Journal Article Palavras-chave: Risk management; Lawsuit; Agricultural commodities; CFTC; Hedging; Speculation; Agribusiness; Agricultural Finance; Financial Economics; Risk and Uncertainty; Teaching/Communication/Extension/Profession; Q14.
Ano: 2011 URL: http://purl.umn.edu/114717
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Reconciling Theoretical Hedging Models with the Experience of Cotton Merchants in March 2008 AgEcon
Janzen, Joseph P..
Analysis of the cotton futures price spike and its effects on commercial hedgers suggest that we do not completely understand the behavior of markets and firms in periods of extreme volatility. After presenting the story of the cotton futures price spike, this paper argues that explanations related to the funding liquidity of firms and the liquidity of the markets themselves may help us better understand market volatility. A simple model of futures market equilibrium in the presence of liquidity constraints demonstrates how prices can spike as fast as they did and why such spikes can drive firms to exit.
Tipo: Conference Paper or Presentation Palavras-chave: Futures; Hedging; Liquidity constraints; Cotton; Agribusiness; Financial Economics.
Ano: 2010 URL: http://purl.umn.edu/61453
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Improving Cattle Basis Forecasting AgEcon
Tonsor, Glynn T.; Dhuyvetter, Kevin C.; Mintert, James R..
Successful risk management strategies for agribusiness firms based on futures and options contracts are contingent on their ability to accurately forecast basis. This research addresses three primary questions as they relate to basis forecasting accuracy: (a) What is the impact of adopting a time-to-expiration approach, as compared to the more common calendar-date approach? (b) What is the optimal number of years to include in calculations when forecasting livestock basis using historical averages? and (c) What is the effect of incorporating current basis information into a historical-average-based forecast? Results indicate that use of the time-to-expiration approach has little impact on forecast accuracy compared to using a simple calendar approach, but...
Tipo: Journal Article Palavras-chave: Basis; Basis forecasts; Cattle prices; Current information; Hedging; Livestock Production/Industries.
Ano: 2004 URL: http://purl.umn.edu/31115
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Accounting for Heterogeneity in Hedging Behavior: Comparing & Evaluating Grouping Methods AgEcon
Pennings, Joost M.E.; Garcia, Philip; Irwin, Scott H..
Heterogeneity, i.e., the notion that individuals respond differently to economic stimuli, can have profound consequences for the interpretation of behavior and the formulation of agricultural policy. This paper compares and evaluates three grouping techniques that can be used to account for heterogeneity in financial behavior. Two are well established: company-type grouping and cluster analysis. A third, the generalized mixture regression model, has recently been developed and is worth considering as market participants are grouped such that their response to the determinants of economic behavior is similar. We evaluate the grouping methods in a hedging framework by assessing their ability to reflect relationships consistent with theory. The empirical...
Tipo: Conference Paper or Presentation Palavras-chave: Economic behavior; Heterogeneity; Hedging; Methods; Risk and Uncertainty; A10; B40; C1; D0; G0; L2; Q13.
Ano: 2011 URL: http://purl.umn.edu/114787
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Managing Price Risk in Volatile Grain Markets, Issues and Potential Solutions AgEcon
McKenzie, Andrew M.; Kunda, Eugene L..
During 2008 extreme price volatility in grain markets led to country elevators incurring unprecedentedly large margin calls on their futures hedges. As a result elevators’ traditional liquidity sources and lines of credit were stretched to breaking point. This article explores the potential liquidity benefits of making available an Over-the-Counter Margin Credit Swap contract to grain hedgers. The swap would enable hedgers to draw upon sources of capital outside the farm credit system to provide liquidity needed to make margin calls. Simulation results clearly show that a Margin Credit Swap contract would provide significant liquidity benefits to hedgers during volatile periods.
Tipo: Journal Article Palavras-chave: Elevator; Hedging; Margin; Swap; Agribusiness; Agricultural Finance; Crop Production/Industries; Risk and Uncertainty; G32; G13; Q14.
Ano: 2009 URL: http://purl.umn.edu/53081
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Optimal Marketing Strategies for Southeastern Cattle Producers AgEcon
Pruitt, J. Ross; Riley, John Michael.
Tipo: Conference Paper or Presentation Palavras-chave: Hedging; Cattle; Simulation; Expected Utility; Agribusiness; Farm Management; Livestock Production/Industries; Marketing; Q13.
Ano: 2009 URL: http://purl.umn.edu/98849
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Spatial Aggregation and Weather Risk Management AgEcon
Woodard, Joshua D.; Garcia, Philip.
Previous studies identify limited potential efficacy of weather derivatives in hedging agricultural exposures. In contrast to earlier studies which investigate the problem at low levels of aggregation, we find using straight forward temperature contracts that better weather hedging opportunities exist at higher levels of spatial aggregation. Aggregating production exposures reduces idiosyncratic (i.e. localized or region specific) risk, leaving a greater proportion of the total risk in the form of systemic weather risk which can be effectively hedged using weather derivatives. The aggregation effect suggests that the potential for weather derivatives in agriculture may be greater than previously thought, particularly for aggregators of risk such as...
Tipo: Conference Paper or Presentation Palavras-chave: Weather derivatives; Spatial aggregation; Corn; Yield risk; Crop insurance; Hedging; Risk and Uncertainty.
Ano: 2007 URL: http://purl.umn.edu/9832
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Discussion: Commodity Price Discovery: Problems That Have Solutions or Solutions That Are Problems AgEcon
Fortenbery, T. Randall.
This paper examines three invited papers focused on commodity prices. Public responses to high nominal commodity prices and perceived increases in price risk have ranged from attempts to assign blame, attempts to change contracting arrangements, and development of public policy that ‘‘protects’’ the market from future occurrences of unacceptable behavior. Interestingly, a result of increased commodity price volatility has suggested that futures markets no longer ‘‘work.’’ This is ironic given that futures markets initially came into existence as tools for managing the negative impacts of commodity price risk. In response to perceptions of market failure some are looking for strategies to regulate the who and how of futures trading.
Tipo: Journal Article Palavras-chave: Futures markets; Hedging; Price risk; Risk management; Speculation; Agribusiness; Agricultural Finance; Marketing; Risk and Uncertainty; G13; Q11; Q13; Q14.
Ano: 2009 URL: http://purl.umn.edu/53084
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Hedging in Presence of Market Access Risk AgEcon
Tonsor, Glynn T..
Existing literature predominantly assumes perfect knowledge of production methods when deriving optimal futures position hedging rules. This paper relaxes this assumption and recognizes situations where producers interested in hedging may not know the exact input mix that will subsequently be used in their physical operations. This uncertainty is built into a conceptual model subsequently used to demonstrate the impacts of this risk on optimal hedging behavior.
Tipo: Conference Paper or Presentation Palavras-chave: Distiller grains; Hedging; Market access risk; Risk management; Agricultural Finance.
Ano: 2008 URL: http://purl.umn.edu/37621
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A BEHAVIORAL APPROACH TOWARDS FUTURES CONTRACT USAGE. AgEcon
Pennings, Joost M.E.; Leuthold, Raymond M..
We propose a behavioral decision-making model to investigate what factors, observable as well as unobservable, owner-managers consider regarding futures contract usage. The conceptual model consists of two phases, reflecting the two-stage decision structure of manager’s use of futures. In the first phase owner-managers consider whether futures are within the market choice set for the enterprise. In the second phase the owner-manager decides whether or not to initiate a futures position when confronted with a concrete choice situation. In both phases owner-manager’s beliefs and perceptions play an important role. The proposed model is tested on a data set of Dutch farmers, based on computer-assisted personal interviews. Because we incorporate latent...
Tipo: Working or Discussion Paper Palavras-chave: Hedging; Futures; Structural equation modeling; Behavioral models; Futures exchanges; Choice models; Farmers; Institutional and Behavioral Economics.
Ano: 2001 URL: http://purl.umn.edu/46448
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LIVESTOCK BASIS FORECASTS: HOW BENEFICIAL IS THE INCLUSION OF CURRENT INFORMATION? AgEcon
Tonsor, Glynn T.; Dhuyvetter, Kevin C.; Mintert, James R..
Successful risk management strategies for agribusiness firms are contingent on the ability to accurately forecast basis. There has been substantial research on the actual use of basis forecasts, yet little research has been conducted on actually forecasting basis. This study evaluates the effect incorporating current basis information into a historical-average-based-forecast has on forecasting accuracy when forecasting live cattle and feeder cattle basis. Furthermore, the optimal weight to place on this current information is evaluated in an out-of-sample framework. Root mean squared errors are generated for both commodities and evaluated to determine the significance of these issues. Results suggest that livestock basis forecasters should consider...
Tipo: Conference Paper or Presentation Palavras-chave: Livestock prices; Hedging; Basis forecasts; Current information; Livestock Production/Industries; Marketing.
Ano: 2003 URL: http://purl.umn.edu/36022
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Alternative Hedging Strategies in Maize Production to Cope with Climate Variability and Change AgEcon
Fuhrer, Jurg; Beniston, Martin; Calanca, Pierluigi; Torriani, Daniele Simone.
Climate change with increasing climate variability is likely to alter risks in agricultural production. The effectiveness of using weather derivatives to hedge against drought risks for rain-fed grain maize production was investigated for current (1981-2003) and future (2070- 2100) climates in Switzerland. The climate change scenario was extrapolated from results of a regional climate model (HIRHAM4) based on the IPCC A2 emission scenario. In addition, a sensitivity analysis was performed by varying the mean and variance of the initial probability space for the seasonal precipitation sum. Profits and risks with and without hedging were compared using the analogy of the value-at-risk measure (VaR), i.e., a quantile-based measure of risk. A Monte Carlo chain...
Tipo: Conference Paper or Presentation Palavras-chave: Climatic change; Climate risks; Drought; Maize production; Weather derivatives; Hedging; Crop Production/Industries; Environmental Economics and Policy; Risk and Uncertainty.
Ano: 2007 URL: http://purl.umn.edu/9275
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Hedge Effectiveness Forecasting AgEcon
Dahlgran, Roger A.; Ma, Xudong.
This study focuses on hedging effectiveness defined as the proportionate price risk reduction created by hedging. By mathematical and simulation analysis we determine the following: (a) the regression R2 in the hedge ratio regression will generally overstate the amount of price risk reduction that can be achieved by hedging, (b) the properly computed hedging effectiveness in the hedge ratio regression will also generally overstate the amount of risk reduction that can be achieved by hedging, (c) the overstatement in (b) declines as the sample size increases, (d) application of estimated hedge ratios to non sample data results in an unbiased estimate of hedging effectiveness, (e) application of hedge ratios computed from small samples presents a significant...
Tipo: Conference Paper or Presentation Palavras-chave: Out of sample; Post sample; Hedging; Effectiveness; Forecasts; Simulation; Agricultural Finance.
Ano: 2008 URL: http://purl.umn.edu/37604
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More Reasons Why Farmers Have So Little Interest in Futures Markets AgEcon
Pannell, David J.; Hailu, Getu; Weersink, Alfons; Burt, Amanda.
The use by farmers of futures contracts and other hedging instruments has been observed to be low in many situations, and this has sometimes seemed to be considered surprising or even mysterious. We propose that it is, in fact, readily understandable and consistent with rational decision making. Standard models of the decision about optimal hedging show that it is negatively related to basis risk, to quantity risk, and to transaction costs. Farmers who have less uncertainty about prices have a lower optimal level of hedging. If a farmer has optimistic price expectations relative to the futures market, the incentive to hedge can be greatly reduced. And finally, farmers who have low levels of risk aversion have little to gain from hedging in terms of risk...
Tipo: Working or Discussion Paper Palavras-chave: Hedging; Risk; Risk aversion; Flat payoff functions; Agricultural Finance.
Ano: 2007 URL: http://purl.umn.edu/9232
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The Relative Performance of In-Sample and Out-of-Sample Hedging Effectiveness Indicators AgEcon
Dahlgran, Roger A..
Hedging effectiveness is the proportion of price risk removed through hedging. Empirical hedging studies typically estimate a set of risk minimizing hedge ratios, estimate the hedging effectiveness statistic, apply the estimated hedge ratios to a second group of data, and examine the robustness of the hedging strategy by comparing the hedging effectiveness for this "out-of-sample" period to the "in-sample" period. This study focuses on the statistical properties of the in-sample and out-of-sample hedging effectiveness estimators. Through mathematical and simulation analysis we determine the following: (a) the R2 for the hedge ratio regression will generally overstate the amount of price risk reduction that can be achieved by hedging, (b) the properly...
Tipo: Conference Paper or Presentation Palavras-chave: Out-of-sample; Post sample; Hedging; Effectiveness; Forecasts; Simulation; Agribusiness; Agricultural Finance; Demand and Price Analysis; Farm Management; Financial Economics; Marketing; Research Methods/ Statistical Methods; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/53042
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Willingness to Pay for Weather Derivatives by Australian Wheat Farmers AgEcon
Simmons, Phil; Edwards, Miriam; Byrnes, Joel.
A theoretical optimal hedging model is developed to determine potential demand from Australian farmers for a hedging tool to remove the economic consequences of climate related variability in wheat yield. In the past, financial instruments have been developed to hedge price risk on capital markets; however, in more recent times new financial instruments, weather derivatives, have been developing that hedge the volumetric risk associated with unfavourable weather. Weather derivatives have the ability to effectively hedge weather related volume risk for the agricultural, mining, energy and manufacturing industries, while also providing a risk management tool for construction firms and special events organisers, although there are still many hurdles to...
Tipo: Conference Paper or Presentation Palavras-chave: Weather derivatives; Risk; Hedging; Wheat; Crop Production/Industries; Risk and Uncertainty.
Ano: 2007 URL: http://purl.umn.edu/9262
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