Risk Management Tools for Wind Power Trades: Weather Derivatives on Forecast Errors

2013 ◽  
pp. 39-66
Author(s):  
Yuji Yamada
Keyword(s):  
Risk Management ◽  
Wind Power ◽  
Forecast Errors ◽  
Weather Derivatives ◽  
Management Tools

scholarly journals Weather Derivatives-Are you willing to hedge the monsoon With special reference to Agriculture Sector in India

2013 ◽  
Vol 6 (3) ◽  
pp. 825-833
Author(s):  
Neha Arora
Keyword(s):  
Risk Management ◽  
Business Processes ◽  
Weather Conditions ◽  
Weather Derivatives ◽  
Agricultural Risk ◽  
Management Tools ◽  
Agriculture Sector ◽  
The People ◽  
The One ◽  
Grave Danger

With drought looming large over 14 meteorological sub-divisions, spare a thought for the planted crops that are in grave danger. For the farmers in Maharashtra, Andhra Pradesh, Karnataka and Uttrakhand this monsoon has brought everything except the much-needed moisture. "Come rainy season and nearly 59 per cent of the Indian population, the people dependent on agriculture, keep their fingers crossed. Some pray to the rain God to ensure that it does not pour so hard that their crops get destroyed. On the other hand, in some villages, the farmers tie two frogs to a pole and get them married, a superstition which is supposed to bring good rainfall, Superstitions apart, the seriousness of weather cannot be overemphasised. India, as a country, faces great variations in weather conditions due to its diverse geographical structure. While some places are hit by flood, some others by drought, rising temperatures are scaling new peaks and chilling winters are breaking old records. Such diversity in weather conditions affects the business processes of many industries directly or indirectly giving agriculture the greater break. Is weather derivates the one of the solutions to the sight for agricultural risk bearing safety? This paper aims to examine the state of risk management in agriculture of India, evaluate the effectiveness of weather derivatives as risk management tools and basic framework required to hedge them.

Design Thinking as a Tool for the Analysis of Project Risks

2019 ◽  
Vol 16 (6) ◽  
pp. 60-77
Author(s):  
E. V. Vasilieva ◽  
T. V. Gaibova
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Design Thinking ◽  
Management Tools ◽  
Project Risk ◽  
Team Members ◽  
Investment Projects ◽  
Risk Management Process ◽  
Project Objectives ◽  
Project Risk Analysis

This paper describes the method of project risk analysis based on design thinking and explores the possibility of its application for industrial investment projects. Traditional and suggested approaches to project risk management have been compared. Several risk analysis artifacts have been added to the standard list of artifacts. An iterative procedure for the formation of risk analysis artifacts has been developed, with the purpose of integrating the risk management process into strategic and prompt decision-making during project management. A list of tools at each stage of design thinking for risk management within the framework of real investment projects has been proposed. The suggested technology helps to determine project objectives and content and adapt them in regards to possible; as well as to implement measures aimed at reducing these risks, to increase productivity of the existing risk assessment and risk management tools, to organize effective cooperation between project team members, and to promote accumulation of knowledge about the project during its development and implementation.The authors declare no conflict of interest.

The Risk-Based Approach to Data Protection

2020 ◽  
Author(s):  
Raphaël Gellert
Keyword(s):  
Risk Management ◽  
Data Protection ◽  
Personal Data ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Regulation Theory ◽  
Régulation Theory ◽  
General Data ◽  
Data Protection Law ◽  
The Way

The main goal of this book is to provide an understanding of what is commonly referred to as “the risk-based approach to data protection”. An expression that came to the fore during the overhaul process of the EU’s General Data Protection Regulation (GDPR)—even though it can also be found in other statutes under different acceptations. At its core it consists in endowing the regulated organisation that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. It addresses this topic from various perspectives. In framing the risk-based approach as the latest model of a series of regulation models, the book provides an analysis of data protection law from the perspective of regulation theory as well as risk and risk management literatures, and their mutual interlinkages. Further, it provides an overview of the policy developments that led to the adoption of such an approach, which it discusses in the light of regulation theory. It also includes various discussions pertaining to the risk-based approach’s scope and meaning, to the way it has been uptaken in statutes including key provisions such as accountability and data protection impact assessments, or to its potential and limitations. Finally, it analyses how the risk-based approach can be implemented in practice by providing technical analyses of various data protection risk management methodologies.

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.

Factors influencing Midwestern grain farmers’ use of risk management tools

2019 ◽  
Vol 79 (2) ◽  
pp. 192-203
Author(s):  
Brian K. Coffey ◽  
Ted C. Schroeder
Keyword(s):  
Risk Management ◽  
Management Practices ◽  
Mail Survey ◽  
Management Tool ◽  
Farm Size ◽  
Management Tools ◽  
Content Type ◽  
Multinomial Logit Regression ◽  
Decision Choices ◽  
Grain Farmers

PurposeThe purpose of this paper is to identify the relationships between grain farm and farmer profiles and their respective choices to use forward pricing techniques and revenue protection crop insurance to manage risk.Design/methodology/approachAn e-mail survey of Midwestern grain farmers elicited farmer demographic information, farm profile, risk attitudes and farmer use of forward pricing and revenue protection insurance. Responses regarding use of risk management tools were compiled as choices to use possible bundles of tools to account for simultaneous nature of the decision. Choices to use bundles of tools were used as the independent variable categories in a multinomial logit regression. Regressors were relevant data collected from the survey.FindingsFarm size, using a market advisory service, and being a technology adopter are the most important factors in predicting risk management tool use by grain farmers. Farmers tend to use forward pricing and revenue protection insurance in combination. Large farms are more likely to use forward pricing tools.Practical implicationsResults provide researchers, extension professionals and risk management specialists with a current understanding of how farm and farmer characteristics relate to use of risk management tools. The authors also elaborate on findings to provide guidance for future risk management research.Originality/valueThe survey covered 9 Midwestern states and 648 grain farmers. The survey results update understanding of grain farmers’ risk management practices. The empirical approach treats risk management decisions to use available tools as simultaneous, which recent literature suggests is more appropriate than earlier approaches.

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