The Emergency Manager as Risk Manager

2019 ◽  
pp. 261-275 ◽  
Author(s):  
Patrick S. Roberts ◽  
Kris Wernstedt ◽  
Joseph Arvai ◽  
Kelly Redmond
Keyword(s):  
Risk Manager ◽  
Emergency Manager

The Pricing of Risk Rate Derivatives and the Implications for Risk Manager

2009 ◽  
Author(s):  
Pasqualina Porretta ◽  
Luca Ferraro ◽  
Massimo Proietti ◽  
Mario Rosati
Keyword(s):  
Risk Manager ◽  
Risk Rate

scholarly journals Emergency Manager Perceptions of the Effectiveness and Limitations of Mass Notification Systems: A Mixed Method Study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
William V. Pelfrey
Keyword(s):  
Text Messaging ◽  
Policy Implications ◽  
Notification System ◽  
Emergency Managers ◽  
Emergency Manager ◽  
Wide Variability ◽  
Manager Perceptions ◽  
Critical Resource ◽  
Multi Method Approach ◽  
Method Approach

AbstractDisasters can move quickly. Effective communication is a critical resource that can significantly enhance public safety. A mass notification system (MNS) uses text messaging to inform constituents of crisis, provide recommendations, connect to resources, and has the advantage of speed. Limited research has been conducted on the variables that influence the effectiveness, utilization, and perceptions of MNS. The extant study employs a multi-method approach to advance the scholarly knowledge on MNS. All emergency managers in a state were surveyed on issues of MNS enrollment, utilization, and brand. A subgroup of emergency managers were then interviewed to provide depth to the survey findings. Key findings indicate wide variability in MNS usage, little relationship between population size and enrollment, and a high perceived importance of MNS as a communication modality. Policy implications and recommendations are offered.

scholarly journals Reviewer Acknowledgements

2017 ◽  
Vol 4 (6) ◽  
pp. 116
Author(s):  
Nikki Gibbs
Keyword(s):  
Armed Forces ◽  
Applied Economics ◽  
International Institute ◽  
State University ◽  
Economic Relations ◽  
Risk Manager ◽  
Debre Berhan ◽  
College Of Business ◽  
Alliant International University

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 4, Number 6Aaron Morey, University of Melbourne, AustraliaAli Massoud, Sohag University, EgyptAndrey Kudryavtsev, The Max Stern Yezreel Valley Academic College, IsraelAsad K. Ghalib, Liverpool Hope University, UKAyoub Taha Sidahmed, SIU, SudanDilshodjon Rakhmonov, Tashkent State University of Economics, UzbekistanDyah Wulan Sari, Airlangga University, IndonesiaErdal Gumus, Eskisehir Osmangazi University, TurkeyEyup Kadioglu, Capital Markets Board, TurkeyGeorge Theocharides, Cyprus International Institute of Management, CyprusGetamesay Bekele Meshesha, Debre Berhan University, EthiopiaHe Nie, Jinan University, ChinaIan McFarlane, University of Reading, UKIbrahim Baghdadi, Lebanese University, LebanonIgor Matyushenko, School of Foreign Economic Relations and Touristic Business, UkraineJin Yong Yang, Hankook University of Foreign Studies, KoreaKembo Bwana, College of Business Education, TanzaniaLuca Giordano, IOSCO (International Organization of Securities Commissions), ItalyMagdalena Radulescu, University of Pitesti, RomaniaMagdalena Zioło, University of Szczecin, PolandMahmoud Mohammed Sabra, Al Azhar University-Gaza, PalestineMarco Muscettola, Independent Researcher-Credit Risk Manager, ItalyMohammed Al-Mahish, King Faisal University, Saudi ArabiaMurad Harasheh, University of Milan-Bicocca, ItalyNicolas Afflatet, University of the Federal Armed Forces, GermanyNuno Crespo, ISCTE-IUL, PortugalOlena Sokolovska, Research Institute of Fiscal Policy, State Fiscal Service of Ukraine, UkrainePatrycja Kowalczyk-Rolczynska, Wroclaw University of Economics, PolandPayal Chadha, University of Wales Prifysgol Cymru, KuwaitRamona Orastean, Lucian Blaga University of Sibiu, RomaniaRichard Nguyen, Alliant International University, USARomeo Victor Ionescu, Dunarea de Jos University, RomaniaSzabolcs Blazsek, Universidad Francisco Marroquín, GuatemalaTaro Abe, Nagoya Gakuin University, JapanVictoria Cociug, Academy of Sciences of Moldova, MoldovaWoodrow Clark II, Clark Strategic Partners, United States, USAZi-Yi Guo, Wells Fargo Bank, N.A., USANikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com

scholarly journals Basics of building a risk-management system at mining enterprises

2021 ◽  
Vol 315 ◽  
pp. 04011
Author(s):  
Alena Chupryakova ◽  
Petr Kosinsky ◽  
Rimma Takhtayeva
Keyword(s):  
Risk Management ◽  
Management System ◽  
Mining Industry ◽  
Management Service ◽  
Software Products ◽  
Operational Risks ◽  
Risk Manager ◽  
Risk Management System ◽  
Mining Enterprise ◽  
Extreme Risk

This paper reflects the problematic situation in the field of risk-management at mining enterprises. It is connected with the fact that not all hired top managers understand the role and importance of the risk management system in the overall management system of a mining enterprise. However, an increase in the number and weight of the consequences of the onset of risk events has recently changed the vision of senior management, business owners and other stakeholders in favor of recognizing the need to create in the structure of mining enterprises, if not separate, specialized structural units, in the form of a risk management service, then at least introduction of a staff unit of a specialist - a risk-manager , who clearly understands what the organization is doing to form and increase the value of a business and how he can influence this, demonstrating his professional knowledge, skills, and even some insight in anticipating future risks of a mining enterprise ... But the economic situation in the region, the country and the world does not allow, due to financial constraints, to fully implement the technologies developed in theory and fixed in practice for the application of methods and approaches to risk management in the mining industry, including the purchase of expensive software products that allow the formation of an effective risk-management system. Therefore, mining risk management professionals need to take full advantage of the potential and benefits of the GRC system, which has existed since 2004, which aims to use a common language and corporate risk management methodology to achieve the company's strategic goals. The results of the studies presented in this paper state that the main risks that the owners of mining enterprises are concerned about are financial risks and operational risks, legal risks, commercial risks and the risk of fraud, as well as natural, environmental and man-made risks, but a significant part of mining enterprises in the region does not have a well-developed risk management system, does not carry out systematic work to identify risks, assess risks and their possible consequences, and therefore: either operate at extreme risk, taking catastrophic risk, or work at the margin of profitability, refusing to accept risks, even there, where you really need it. However, one should proceed from their understanding that technologies in the field of corporate governance of mining enterprises, including risk management, can not only form lines of defence against risks, but also increase the value of a mining enterprise through an effective risk-management system.

scholarly journals Modelo de otimização de recursos financeiros para o gerenciamento de riscos empresariais

2017 ◽  
Vol 1 (1) ◽  
pp. 98 ◽  
Author(s):  
Wanderlei Lima Paulo ◽  
Francisco Carlos Fernandes ◽  
Marcia Zanievicz Silva
Keyword(s):  
Linear Programming ◽  
Decision Process ◽  
Control Policy ◽  
Financial Resources ◽  
Business Risk ◽  
Risk Manager ◽  
Operational Costs ◽  
Proposed Model ◽  
Control Target ◽  
Reduced Costs

<p>This article aims to propose a model to determine the best allocation of financial resources for business risk management, permitting the risk manager to define a control policy with reduced costs that reaches a desired control target. The problem of study is presented as an issue of optimization of costs, formulated as a model of whole linear programming, which basic restrictions are associated to the demanded levels of control. The proposed model is applied to a problem of resource allocation for the control of operational costs. The results show that the model is an adequate instrument to better allocate financial resources, which its use proportionates better conditions for the decision process of business risks.</p>

scholarly journals Reviewer Acknowledgements

2020 ◽  
Vol 7 (6) ◽  
pp. 108
Author(s):  
Nikki Gibbs
Keyword(s):  
Applied Economics ◽  
State University ◽  
Risk Manager ◽  
Romanian Academy ◽  
International University ◽  
Texas Tech University ◽  
Alliant International University ◽  
Academy Of Sciences

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 7, Number 6 Abootaleb Shirvani, Texas Tech University, USAAndrey Kudryavtsev, The Max Stern Yezreel Valley Academic College, IsraelDilshodjon Rakhmonov, Tashkent State University of Economics, UzbekistanDjebali Nesrine, University of Jendouba, TunisiaHichem Maraghni, University of Taibah, TunisiaIulia Lupu, Victor Slavescu” Centre for Financial and Monetary Research, Romanian Academy, RomaniaMarco Muscettola, Independent Researcher-Credit Risk Manager, ItalyOlena Sokolovska, St. Petersburg State University, UkraineOltiana Muharremi Pelari, Stonehill College in Ma, USARajeev Rana, APB Govt. P.G. College, IndiaRamona Orastean, Lucian Blaga University of Sibiu, RomaniaRichard Nguyen, Alliant International University, USAShahram Fattahi, Razi University, IranSteven V. Cates, Purdue University-Global, USASzabolcs Blazsek, Universidad Francisco Marroquín, GuatemalaVictoria Cociug, Academy of Sciences of Moldova, Moldova      Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com

scholarly journals Enterprise Credit Risk Management Using Multicriteria Decision-Making

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wenjuan Liu
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Credit Risk ◽  
Multicriteria Decision Making ◽  
Final Decision ◽  
Credit Risk Management ◽  
Multicriteria Decision ◽  
Risk Manager ◽  
Enterprise Credit ◽  
Weight Calculation

The purpose of this study is to reduce the rate of multicriteria decision-making (MCDA) errors in credit risk management and to weaken the influence of different attitudes of enterprise managers on the final decision when facing credit risk. First, several solutions that are suitable for present enterprise credit risk management are proposed according to the research of enterprise risk management in the world. Moreover, the criteria and matrix are established according to the general practice of the expert method. A decision-making method of enterprise credit risk management with trapezoidal fuzzy number as the criteria of credit risk management is proposed based on the prospect theory; then, the weight is calculated based on G1 weight calculation, G2 weight calculation method, and the method of maximizing deviation; finally, the prospect values of the alternatives calculated by each method are adopted to sort and compare the proposed solutions. Considering the difference of risk degree of managers in the face of credit risk management, the ranking results of enterprise credit risk management solutions based on three weight calculation methods are compared. The results show that as long as the quantitative value of the risk attitude of the enterprise credit risk manager meets a certain range, the final choice of credit risk management scheme ranking is consistent. This exploration provides a new research direction for enterprise credit risk management, which has reference significance.

scholarly journals A note on imperfect hedging: a method for testing stability of the hedge ratio

2012 ◽  
Vol 60 (2) ◽  
pp. 45-50
Author(s):  
Michal Černý ◽  
Jan Pelikán
Keyword(s):  
Recent Change ◽  
Hedging Strategy ◽  
Hedge Ratio ◽  
Risk Manager ◽  
Long Run ◽  
Short Run ◽  
On Line ◽  
Highly Correlated ◽  
The Relationship ◽  
Open Position

Companies producing, processing and consuming commodities in the production process often hedge their commodity expositions using derivative strategies based on different, highly correlated underlying commodities. Once the open position in a commodity is hedged using a derivative position with another underlying commodity, the appropriate hedge ratio must be determined in order the hedge relationship be as effective as possible. However, it is questionable whether the hedge ratio determined at the inception of the risk management strategy remains stable over the whole period for which the hedging strategy exists. Usually it is assumed that in the short run, the relationship (say, correlation) between the two commodities remains stable, while in the long run it may vary. We propose a method, based on statistical theory of stability, for on-line detection whether market movements of prices of the commodities involved in the hedge relationship indicate that the hedge ratio may have been subject to a recent change. The change in the hedge ratio decreases the effectiveness of the original hedge relationship and creates a new open position. The method proposed should inform the risk manager that it could be reasonable to adjust the derivative strategy in a way reflecting the market conditions after the change in the hedge ratio.

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