The interaction of risk management tools: Financial hedging, corporate diversification and liquidity

2020 ◽  
Author(s):  
Jiaqi Jiang ◽  
Yun Feng
Keyword(s):  
Risk Management ◽  
Corporate Diversification ◽  
Management Tools ◽  
Financial Hedging

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.

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.

scholarly journals FINANCIAL RISK MANAGEMENT- A COMPARATIVE STUDY BETWEEN IRANIAN BANKS

2016 ◽  
Vol 4 (12) ◽  
pp. 17-23
Author(s):  
Mojtaba Mortezaee ◽  
Davoud Sanji
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Interest Rate Risk ◽  
Shareholder Wealth ◽  
Risk Capital ◽  
Management Tools ◽  
Financial Risk Management ◽  
Return On Equity ◽  
Meaningful Relationship ◽  
Public Banks

Undoubtedly financial risk management due to its high impact on stockholders wealth is always considering by Banks. Risk management methods and its accomplishment leads to shareholder consent or dissatisfaction. Present research, examine this issue by three instruments of Financial risk management includes interest rate risk, capital risk and risk of natural hedging. Thus, the main problem in this content is to some extent financial risk management methods can effect on stockholders’ wealth. We separate banks into private sector and public sector and examine hypothesis for each group by regression models. Return on Equity (ROE) changes is a reliable criterion for shareholders wealth. Results show that public banks are more successful in using risk management tools in compared with private banks. In other word, we have found more meaningful relationship between financial risk management tools and shareholder wealth in public banks.

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