scholarly journals Risk analysis model and agricultural derivative market use

2021 ◽  
Vol 12 (8) ◽  
pp. 2508-2534
Author(s):  
João Batista Ferreira ◽  
Luiz Gonzaga Castro Junior

This research aims to build conceptual guidelines regarding price risk management through the agricultural derivatives market. Specifically, to identify the common price risk management methods and strategies employed, the risk analysis models of derivative markets, and the barriers to agricultural risk management. This is an integrative review, the search for literature on the models of risk management analysis of agricultural derivatives started by listing the largest possible number of keywords on the topic, in the Scopus and Web of Science. Forty-five publications were found meeting the pre-established criteria that served as the basis for this research.  Based on the literature review, we list the main information on the subject and we also propose a theoretical model for analyzing the market risks of agricultural derivatives. Still, it was possible to notice that among the methodologies for measuring market risk, Value at Risk (VaR) stands out. We exemplify and demonstrate the existence of several statistical analyzes and mathematical models, as well as software available for the management of price risks. It is concluded that strategies with the futures and options market, even though they are the most efficient for risk management, lack incentives to become practical.

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Lilia Mirgaziyanovna Yusupova ◽  
Irina Arkadevna Kodolova ◽  
Tatyana Viktorovna Nikonova ◽  
Bulat Talgatovich Yakupov

Author(s):  
Dandes Rifa

The main objective of risk management is to minimize the potential for losses (risk) arising from unexpected changes in currency rates, credit, commodities and equities. One of the risks faced by companies is market risk (value at risk). This article aims to explain that risk management can be one of them by using derivative products. Derivative transactions is very useful for business people who want to hedge (hedging) against a commodity, which always experience price changes from time to time. There are three strategies that can be used to hedge the balance sheet hedging strategy, operational hedging strategies and contractual hedging strategies. Staregi contractual hedging is a form of protection that is done by forming a contractual hedging instruments in order to provide greater flexibility to managers in managing the potential risks faced by foreign currency. Most of these contractual hedging instrument in the form of derivative products. The management can enhance shareholder value by controlling risk. -Party investors and other interested parties hope that the financial manager is able to identify and manage market risks to be faced. If the value of the firm equals the present value of future cash flows, then risk management can be justified. 


2011 ◽  
Vol 217-218 ◽  
pp. 1293-1296
Author(s):  
Hua Zheng ◽  
Li Xie ◽  
Li Zi Zhang

This article describes an intelligent simulation method for measuring price risk, which is still one of the important problems for various risk managements and need to be studied profoundly. To solve this problem, risk measured in terms of Value at Risk on electricity price is proposed by intelligent simulation. In this work, prices under various market scenarios are produced by intelligent model using fuzzy neural network (FNN). After that, the quantitative model for price risk analysis is built in the form of a function of the estimated probability distribution of price, where price VAR is determined from the distribution according to parameter set, i.e. confidence level. The proposed method is more realistic and effective than variance approach to provide the assessment of the potential loss of electricity price over some period of time.


2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.


2018 ◽  
Vol 9 (3) ◽  
pp. 241 ◽  
Author(s):  
Shahab E. Saqib ◽  
John K.M. Kuwornu ◽  
Ubaid Ali ◽  
Sanaullah Panezai ◽  
Irfan Ahmad Rana

2000 ◽  
Vol 3 (1) ◽  
pp. 75-96 ◽  
Author(s):  
A. Brown ◽  
G. F. Ortmann ◽  
M. A.G. Darroch

Ordinary Least Squares regression was used to examine what characteristics affect the use of maize price risk management tools by a sample of large commercial South African maize producers in 1998. The use of maize storage facilities, off-farm employment, formal crop insurance, length of formal education of operators and the proportion of farm turnover from maize, all positively influence producers' use of these tools. Crop insurance thus appeared to be a complementary method of risk management. In contrast to previous United States studies, operators' self-rated score of marketing management ability was negatively related to the use of price risk management tools. Maize marketing seminars and other sources of information on managing price risk would reduce adoption costs and encourage broader producer participation


2010 ◽  
Vol 74 (4) ◽  
pp. 546-572
Author(s):  
Elizabeth Jackson ◽  
Mohammed Quaddus ◽  
Nazrul Islam ◽  
John Stanton

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