Risk Management Tool of Last Resort: Bankruptcy Offers Protections to Qualifying Ag Operations and Fishermen to Restructure Business and Survive Tough Economic Times

2017 ◽  
Author(s):  
Mason Grahame ◽  
Paul Goeringer
Keyword(s):  
Risk Management ◽  
Management Tool

Parameter framework - a risk management tool to improve the safety of tailings facilities

2007 ◽  
Vol 15 (2) ◽  
pp. 223-233 ◽  
Author(s):  
J. Engels ◽  
D. Dixon-Hardy ◽  
C. McDonald ◽  
K. Kreft-Burman
Keyword(s):  
Risk Management ◽  
Management Tool

Risk management tool to define a corrective storage to enhance Salmonella inactivation in dry fermented sausages

2021 ◽  
pp. 109160
Author(s):  
Cristina Serra-Castelló ◽  
Sara Bover-Cid ◽  
Margarita Garriga ◽  
Tina Beck Hansen ◽  
Annemarie Gunvig ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Tool ◽  
Fermented Sausages ◽  
Dry Fermented Sausages

scholarly journals A Methodical Approach to Design and Valuation of Weather Derivatives in Agriculture

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Jindrich Spicka ◽  
Jiri Hnilica
Keyword(s):  
Risk Management ◽  
Low Income ◽  
Crop Yields ◽  
Option Price ◽  
Interdisciplinary Approach ◽  
Weather Conditions ◽  
Low Income Countries ◽  
Management Tool ◽  
Weather Derivatives ◽  
Methodical Approach

The paper deals with weather derivatives as the potentially effective risk management tool for agricultural enterprises seeking to mitigate their income exposure to variations in weather conditions. Design and valuation of the weather derivatives is an interdisciplinary approach covering agrometeorology, statistics, mathematical modeling, and financial and risk management. This paper first offers an overview of data sources and then methods of design and valuation of weather derivatives at the regional level. The accompanied case study focuses on cultivation of cereals (wheat and barley) in the Czech Republic. However, its generalizability is straightforward. The analysis of key growing phases of cereals is based on regression analysis using weather indices as the independent variables and crop yields as dependent variables. With the bootstrap tool, the burn analysis is considered as useful tool for estimating uncertainty about the payoff, option price, and statistics of probability distribution of revenues. The results show that the spatial and production basis risks reduce the efficiency of the weather derivatives. Finally, the potential for expansion of weather derivatives remains in the low income countries of Africa and Asia with systemic weather risk.

scholarly journals Livestock Gross Margin–Dairy: An Assessment of Its Effectiveness as a Risk Management Tool and Its Potential to Induce Supply Expansion

2014 ◽  
Vol 46 (2) ◽  
pp. 245-256
Author(s):  
Kenneth H. Burdine ◽  
Yoko Kusunose ◽  
Leigh J. Maynard ◽  
Don P. Blayney ◽  
Roberto Mosheim
Keyword(s):  
Risk Management ◽  
Management Tool ◽  
Futures Prices ◽  
Gross Margin ◽  
Insurance Program ◽  
Multiple Regions ◽  
Estimated Risk ◽  
Futures Price ◽  
Supply Analysis ◽  
Risk Reducing

An evaluation of the risk-reducing effectiveness of the Livestock Gross Margin–Dairy (LGM-Dairy) insurance program, using historical futures price data, predicts economically significant reductions in downside margin risk (24–41%) across multiple regions. Supply analysis based on the estimated risk reduction shows a small supply response, assuming minimal subsidization. A decomposition of the simulated indemnities into milk price and feed price components shows comovements in futures prices moderating the frequency and levels of indemnities.

Volatility Forecast by Volatility Index and Its Use as a Risk Management Tool Under a Value-at-Risk Approach

2018 ◽  
Vol 21 (02) ◽  
pp. 1850010 ◽  
Author(s):  
Yam Wing Siu
Keyword(s):  
At Risk ◽  
Risk Management ◽  
Risk Premium ◽  
Value At Risk ◽  
Realized Volatility ◽  
Management Tool ◽  
Spot Price ◽  
Pricing Options ◽  
Significance Levels ◽  
Risk Approach

This paper examines the predicting power of the volatility indexes of VIX and VHSI on the future volatilities (or called realized volatility, [Formula: see text] of their respective underlying indexes of S&P500 Index, SPX and Hang Seng Index, HSI. It is found that volatilities indexes of VIX and VHSI, on average, are numerically greater than the realized volatilities of SPX and HSI, respectively. Further analysis indicates that realized volatility, if used for pricing options, would, on some occasions, result in greatest losses of 2.21% and 1.91% of the spot price of SPX and HSI, respectively while the greatest profits are 2.56% and 2.93% of the spot price of SPX and HSI, respectively, making it not an ideal benchmark for validating volatility forecasting techniques in relation to option pricing. Hence, a new benchmark (fair volatility, [Formula: see text] that considers the premium of option and the cost of dynamic hedging the position is proposed accordingly. It reveals that, on average, options priced by volatility indexes contain a risk premium demanded by the option sellers. However, the options could, on some occasions, result in greatest losses of 4.85% and 3.60% of the spot price of SPX and HSI, respectively while the greatest profits are 4.60% and 5.49% of the spot price of SPX and HSI, respectively. Nevertheless, it can still be a valuable tool for risk management. [Formula: see text]-values of various significance levels for value-at-risk and conditional value-at-value have been statistically determined for US, Hong Kong, Australia, India, Japan and Korea markets.

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