Relevant bibliographies by topics / Integrated value and risk management

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Integrated value and risk management'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Integrated value and risk management"

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Stump, Evin J., and Kevin Ferguson. "2.2.1 The Value of Integrated Project Risk Management." INCOSE International Symposium 8, no. 1 (1998): 206–12. http://dx.doi.org/10.1002/j.2334-5837.1998.tb00030.x.

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Kouvelis, Panos, and Rong Li. "Integrated Risk Management for Newsvendors with Value-at-Risk Constraints." Manufacturing & Service Operations Management 21, no. 4 (2019): 816–32. http://dx.doi.org/10.1287/msom.2018.0726.

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Sobol, Alexander, and Oleg Fadeev. "Developing a risk management system and assessing the effectiveness of integrated risk management in the space rocket sector." MATEC Web of Conferences 212 (2018): 08028. http://dx.doi.org/10.1051/matecconf/201821208028.

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The article discusses the formation of the system of risk management and evaluation of the effectiveness of integrated project risk management in the space rocket sector. The classification of the integrated project risks for knowledge-based enterprise in the space rocket sector and credit institution was made. The main methods of project risks evaluation, which can be applied in the space rocket sector, are described. The scheme of integrated project risk management was made on the basis of the life cycle approach when implementing projects in the space rocket sector. When implementing project risks in the space rocket sector, an enlarged scheme of the Regulations on Integrated Project Risk Management System, was developed. An issue of integrated risk management in the space rocket sector using a system of measures being named the “Value-at-Risk” (VaR) was reviewed. It was concluded that there was a need for project implementation in the space rocket sector using a complex, effective, and integrated system of risk management.
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Young, Peter C., and Martin Fone. "Organisation Risk Management in UK Police Authorities: An Integrated Management Approach." International Journal of Police Science & Management 1, no. 1 (1998): 48–57. http://dx.doi.org/10.1177/146135579800100106.

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Risk management is evolving into a broader, more general, management role in organisations. This emerging form, called organisation risk management (ORM), seeks to manage all organisation risks in an integrated, comprehensive and strategic manner. The public sector has been somewhat slow to adopt both this view and practice, but changing political, social and economic pressures are forcing public authorities to provide better services with increasingly limited resources; and these pressures, in turn, are heightening the awareness of the value in managing the cost of risk. This paper introduces and develops the ORM concept, and provides a specific application that is a critical issue for the modern police authority — employment risk. In discussing this employment risk, the paper offers both a method for analysing risks generally and a set of risk management principles that apply to the actual management of all organisational risks.
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Soliman, Alaa, and Mukhtar Adam. "Enterprise Risk Management and firm performance: an integrated model for the banking sector." Banks and Bank Systems 12, no. 2 (2017): 116–23. http://dx.doi.org/10.21511/bbs.12(2).2017.12.

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This study investigates how the implementation of Enterprise Risk Management program affects the performance of firms using an Enterprise Risk Management model for the banking sector and an integrated model for measuring Enterprise Risk Management index used in the study by Mukhtar and Soliman (2016). Ten listed commercial banks were selected with the Enterprise Risk Management index as the main independent variable, with Return on Average Equity (ROAE), Share Price Return (SPR) and Firm Value (FV) used as three separate dependent variables. The study provides strong evidence of a positive relationship between Enterprise Risk Management implementation and performance in the Nigerian banking sector. The findings and conclusions of this study are consistent with those of other studies that used data from different industries, providing a basis from which to generalize the findings from this study to firms in other industries.
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Florea, Dorian-Laurentiu, Claudiu-Catalin Munteanu, and Alexandra-Elena Postoaca. "Integrating risk literacy into brand management." Review of International Business and Strategy 26, no. 2 (2016): 204–18. http://dx.doi.org/10.1108/ribs-02-2014-0025.

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Purpose The purpose of this paper is to integrate brand equity into companies’ overall risk assessment by suggesting a methodology of evaluating the relevant aspects of brand risk. Design/methodology/approach Based on a theoretical framework which discriminates between brand assets, brand strength and brand value, this paper set two alternative directions that can be followed to assess brand risk: a financial direction, which accounts on brand value, and a marketing direction, which stresses on brand assets and brand strength. Following the latter one, this paper provides mathematical formulas which contain specific factors of volatility that can be integrated in a future scoring system. Findings This paper proposes four major risks that need to be considered when evaluating brand assets risk: reputational risk, presence risk, loyalty risk and halo effect risk. This paper provides an evaluation methodology for each one. In addition, a 12-step implementation model is proposed as a managerial guideline for integrating brand risk in the companies’ risk management. Originality/value This paper emphasizes the importance of considering brand equity as a potential source of risk and thus integrating it into risk management. Also, we continue Abrahams’ pioneer work on adding risk literacy into brand management.
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Agarwal, Ruchi, and Lev Virine. "Integration Stages of Project Risk Management (PRM) into Enterprise Risk Management (ERM)." International Journal of Risk and Contingency Management 8, no. 1 (2019): 13–33. http://dx.doi.org/10.4018/ijrcm.2019010102.

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Enterprise risk management (ERM) is a relatively new concept for a project-based organization than for a functional organization. A project-based organization, in general, faces several difficulties in the implementation of ERM due to the diversity of risk associated with several projects. From a system thinking perspective, a project-based organization needs an integrated approach to interrelate the isolated processes of diverse projects. The issues are related to fuzzy picture of integration, such as, the difference between ERM and PRM processes, how to integrate the two concepts, what happens if integration process goes wrong, as well as issues with risk technologies and change in risk culture. The article provides informal and formal approaches to integration of ERM and PRM. Successful integration requires not only an understanding the value of integration, improvement in risk culture, but needs a learning-based approach to improve risk expertise, interaction, team building, and decision making.
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Zhu, Quan, Harold Krikke, and Marjolein C. J. Caniëls. "Integrated supply chain risk management: a systematic review." International Journal of Logistics Management 28, no. 4 (2017): 1123–41. http://dx.doi.org/10.1108/ijlm-09-2016-0206.

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Purpose Supply chain risks specifically refer to risks that transmit among supply chain members, thus they should be understood and managed as a whole for an end-to-end supply chain. The purpose of this paper is to review literature of integrated supply chain risk management (ISCRM) that connects supply chain integration (SCI) with supply chain risk management. Design/methodology/approach The systematic literature review methodology was used to select and categorize articles between 1998 and 2015 in peer-reviewed journals. A contingency analysis was further applied to detect association patterns and links between category items. Findings Through a systematic literature review, the research has clearly analyzed risk sources, scopes and dimensions of SCI, and scopes and dimensions of performance in the field of ISCRM. Furthermore, by applying the contingency analysis, the paper has proposed future research directions that are based on the extant literature findings. Originality/value The identified insights, gaps, and future research directions will encourage researchers as well as managers to drive the development of ISCRM.
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Lenk, Margarita M., John Peter Krahel, Diane J. Janvrin, and Brett Considine. "Social Technology: An Integrated Strategy and Risk Management Framework." Journal of Information Systems 33, no. 2 (2018): 129–53. http://dx.doi.org/10.2308/isys-52065.

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ABSTRACT Accounting firms, corporations, and nonprofits use social technology to attract and develop employees, manage business intelligence, innovate business processes, engage clients, customers, and members, and disseminate information to investors and regulators. Despite its benefits, social technology's unique reach and speed create new risks for managers, accountants, and auditors. Based upon prior research and modifications to Kaplan and Norton's (2004) balanced scorecard and the COSO (2017) Enterprise Risk Management framework, we develop an Integrated Social Technology Strategy and Risk Management Framework to model risk management during strategy selection and implementation. A field investigation involving three large accounting organizations supports the framework's representativeness for the accounting profession. This research identifies significant benefits, risks, and effective risk management controls for social technology strategies, from governance to monitoring activities. These results suggest this framework's potential usefulness to managers, auditors, consultants, and researchers examining how social technology can provide value to organizations.
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Rutkauskas, Aleksandras Vytautas, and Adomas Ginevičius. "INTEGRATED MANAGEMENT OF MARKETING RISK AND EFFICIENCY / INTEGRUOTAS MARKETINGO RIZIKOS IR EFEKTYVUMO VALDYMAS." Journal of Business Economics and Management 12, no. 1 (2011): 5–23. http://dx.doi.org/10.3846/16111699.2011.555357.

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There are two principal problems arising for marketing management: first—the increase of marketing ability to use effectively its resources, and second—to inventory the risks influencing marketing activity in order to develop their management strategy. Considering exceptional riskiness of marketing, the solution of marketing efficiency problems is not separable from identification of risks, influencing marketing, and their management strategies development. Integrated analysis of marketing efficiency and risk management problems is performed in two ways. First, a marketing risks portfolio management situation is analysed in such a way that resources, intended for risk management, are distributed among the means of decreasing value at risk in such a manner that the overall value of risk, i.e. the resultant of all risk values, would be minimal. Second, based on the expert efficiency estimates for a unit of costs in every element of marketing structure, a distribution of costs is pursued which would uphold the best increase of marketinggenerated marginal utility. To find the solution, imitative modeling and stochastic optimization methods are used. Santrauka Kyla dvi pagrindines marketingo valdymo problemos: pirma—tai marketingo gebejimo efektyviai naudoti jam skirtus išteklius didinimas, antra—inventorizuoti marketingo veiklai itak daranèias rizikas, siekiant parengti ju valdymo strategij. Atsižvelgiant i išskirtini marketingo rizikingum, jo efektyvumo problemu sprendimas neatsiejamas nuo riziku, daranèiu poveiki marketingui, identifikavimo ir ju valdymo strategiju sukurimo. Straipsnyje marketingo efektyvumas ir rizikos valdymo problemos nagrinejamos dviem budais. Pirmas—nagrinejama marketingo riziku portfelio valdymo situacija, kai ištekliai, skirti rizikai valdyti, dalijami tarp priemoniu, skirtu riziku vertei mažinti (Value at Risk), taip, kad bendroji rizikos verte, t. y. visu rizikos verèiu atstojamoji, butu minimali. Antras—remiantis ekspertu efektyvumo iverèiais snaudu vienetui kiekviename marketingo strukturos elemente, ieškomas toks snaudu padalijimas, kuris puoseletu naudingiausi marketingo sukuriamo ribinio naudingumo prieaugi. Sprendimams rasti pasitelkti imitacinio modeliavimo ir stochastinio optimizavimo metodai.
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Dissertations / Theses on the topic "Integrated value and risk management"

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Garbanovas, Gintautas. "Bank value and risk's portfolio interdependence and management." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101221_114433-10503.

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The main idea of current PhD thesis is the analysis of bank value and risk interdependence, and that bank value is conected with bank activity riskiness on consistent pattern and that this dependency is advisable to measure on probability basis with simulation modeling. In the work are presented systemic view of risk, risk sorts, risk management including cash flow risk management and credit risk management, bank value and valuation methodology, modeling and use in practical tasks.<br>Disertacijoje nagrinėjamos banko vertės ir rizikos sąveikos problemos, ginama tezė, kad banko vertė susijusi su banko veiklos rizikų portfeliu dėsningai ir kad šią priklausomybę tikslinga matuoti per tikimybės ir patikimumo prizmes imitavimo būdu. Darbe pateikiamas susistemintas požiūris į riziką, jos rūšis, rizikos valdymą išskiriant pinigų srautų rizikos valdymą bei kredito rizikos val-dymą atskirai, bei į banko vertę ir banko vertinimo metodologiją, modeliavimą, jų taikymą praktikoje.
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Garbanovas, Gintautas. "Banko vertės ir rizikų portfelio sąveika ir valdymas." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101221_114440-82143.

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Disertacijoje nagrinėjamos banko vertės ir rizikos sąveikos problemos, ginama tezė, kad banko vertė susijusi su banko veiklos rizikų portfeliu dėsningai ir kad šią priklausomybę tikslinga matuoti per tikimybės ir patikimumo prizmes imitavimo būdu. Darbe pateikiamas susistemintas požiūris į riziką, jos rūšis, rizikos valdymą išskiriant pinigų srautų rizikos valdymą bei kredito rizikos valdymą atskirai, bei į banko vertę ir banko vertinimo metodologiją, modeliavimą, jų taikymą praktikoje.<br>The main idea of current PhD thesis is the analysis of bank value and risk interdependence, and that bank value is conected with bank activity riskiness on consistent pattern and that this dependency is advisable to measure on probability basis with simulation modeling. In the work are presented systemic view of risk, risk sorts, risk management including cash flow risk management and credit risk management, bank value and valuation methodology, modeling and use in practical tasks.
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Novák, Martin. "Value at Risk models for Energy Risk Management." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-71889.

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The main focus of this thesis lies on description of Risk Management in context of Energy Trading. The paper will predominantly discuss Value at Risk and its modifications as a main overall indicator of Energy Risk.
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Hager, Peter. "Corporate Risk Management : Cash Flow at Risk und Value at Risk /." Frankfurt am Main : Bankakademie-Verl, 2004. http://www.gbv.de/dms/zbw/378196367.pdf.

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Mitra, Amlan. "Developing an integrated risk management system in emergency management process /." This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-12232009-020038/.

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Ganief, Moegamad Shahiem. "Development of value at risk measures : towards an extreme value approach." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52189.

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Thesis (MBA)--Stellenbosch University, 2001.<br>ENGLISH ABSTRACT: Commercial banks, investment banks, insurance companies, non-financial firms, and pension funds hold portfolios of assets that may include stocks, bonds, currencies, and derivatives. Each institution needs to quantify the amount of risk its portfolio is exposed to in the course of a day, week, month, or year. Extreme events in financial markets, such as the stock market crash of October 1987, are central issues in finance and particularly in risk management and financial regulation. A method called value at risk (VaR) can be used to estimate market risk. Value at risk is a powerful measure of risk that is gaining wide acceptance amongst institutions for the management of market risk. Value at Risk is an estimate of the largest lost that a portfolio is likely to suffer during all but truly exceptional periods. More precisely, the VaR is the maximum loss that an institution can be confident it would lose a certain fraction of the time over a particular period. The power of the concept is its generality. VaR measures are applicable to entire portfolios - encompassing many asset categories and multiple sources of risk. As with its power, the challenge of calculating VaR also stems from its generality. In order to measure risk in a portfolio using VaR, some means must be found for determining a return distribution for the portfolio. There exists a wide range of literature on different methods of implementing VaR. But, when one attempts to apply the results, several questions remain open. For example, given a VaR measure, how can the risk manager test that the particular measure at hand is appropriately specified? And secondly, given two different VaR measures, how can the risk manager pick the best measure? Despite the popularity of VaR for measuring market risk, no consensus has yet been reach as to the best method to implement this risk measure. The absence of consensus is in part derived from the realization that each method currently in use has some significant drawbacks. The aim of this project is threefold: to introduce the reader to the concept of VaR; present the theoretical basis for the general approaches to VaR computations; and to introduce and apply Extreme Value Theory to VaR calculations. The general approaches to VaR computation falls into three categories, namely, Analytic (Parametric) Approach, Historical Simulation Approach, and Monte Carlo Simulation Approach. Each of these approaches has its strengths and weaknesses, which will study more closely. The extreme value approach to VaR calculation is a relatively new approach. Since most observed returns are central ones, traditional VaR methods tend to ignore extreme events and focus on risk measures that accommodate the whole empirical distribution of central returns. The danger of this approach is that these models are prone to fail just when they are needed most - in large market moves, when institutions can suffer very large losses. The extreme value approach is a tool that attempts to provide the user with the best possible estimate of the tail area of the distribution. Even in the absence of useful historical data, extreme value theory provides guidance on the kind of distribution that should be selected so that extreme risks are handled conservatively. As an illustration, the extreme value method will be applied to a foreign exchange futures contract. The validity of EVT to VaR calculations will be tested by examining the data of the Rand/Dollar One Year Futures Contracts. An extended worked example will be provided wherein which attempts to highlight the considerable strengths of the methods as well as the pitfalls and limitations. These results will be compared to VaR measures calculated using a GARCH(l,l) model.<br>AFRIKAANSE OPSOMMING: Handelsbanke, aksepbanke, assuransiemaatskappye, nie-finansiële instellings en pensioenfondse beskik oor portefeuljes van finansiële bates soos aandele, effekte, geldeenhede en afgeleides. Elke instelling moet die omvang kan bepaal van die risiko waaraan die portefeulje blootgestel is in die loop van 'n dag, week, maand of jaar. Uitsonderlike gebeure op finansiële markte, soos die ineenstorting van die aandelemark in Oktober 1987, is van besondere belang vir finansies en veral vir risikobestuur en finansiële regulering. 'n Metode wat genoem word Waarde op Risiko (WoR), kan gebruik word om markverliese te meet. WoR is 'n kragtige maatstaf vir risiko en word deur vele instellings gebruik vir die bestuur van mark-risiko. Waarde op Risiko is 'n raming van die grootste verlies wat 'n portefeulje moontlik kan ly gedurende enige tydperk, met uitsluiting van werklik uitsonderlike tydperke. Van nader beskou, is WoR die maksimum verlies wat 'n instelling kan verwag om gedurende 'n sekere tydperk binne 'n bepaalde periode te ly. Die waarde van die konsep lê in die algemene aard daarvan. WoR metings is van toepassing op portefeuljes in dié geheel en dit omvat baie kategorieë bates en veelvuldige bronne van risiko. Soos met die waarde van die konsep, hou die uitdaging om WoR te bereken ook verband met die algemene aard van die konsep. Ten einde die risiko te bepaal in 'n portefeulje waar WoR gebruik word, moet metodes gevind word waarvolgens 'n opbrengsverdeling vir die portefeulje vasgestel kan word. Daar bestaan 'n groot verskeidenheid literatuur oor die verskillende metodes om WoR te implementeer. Wanneer dit egter kom by die toepassing van die resultate, bly verskeie vrae onbeantwoord. Byvoorbeeld, hoe kan die risikobestuurder aan die hand van 'n gegewe WoR-maatstaf toets of die spesifieke maatstaf reg gespesifiseer is? Tweedens, hoe kan die risikobestuurder die beste maatstaf kies in die geval van twee verskillende WoR-maatstawwe? Ondanks die feit dat WoR algemeen gebruik word vir die meting van markrisiko, is daar nog nie konsensus bereik oor die beste metode om hierdie benadering tot risikometing te implementeer nie. Die feit dat daar nie konsensus bestaan nie, kan deels daaraan toegeskryf word dat elkeen van die metodes wat tans gebruik word, ernstige leemtes het. Die doel van hierdie projek is om die konsep WoR bekend te stel, om die teoretiese grondslag te lê vir die algemene benadering tot die berekening van WoR en om die Ekstreme Waarde-teorie bekend te stel en toe te pas op WoR-berekenings. Die algemene benadering tot die berekening van WoR word in drie kategorieë verdeel naamlik die Analitiese (Parametriese) benadering, die Historiese simulasiebenadering en die Monte Carlo-simulasiebenadering. Elkeen van die benaderings het sterk- en swakpunte wat van nader ondersoek sal word. Die Ekstreme Waarde-benadering tot WoR is 'n relatief nuwe benadering. Aangesien die meeste opbrengste middelwaarde-gesentreer is, is tradisionele WoR-metodes geneig om uitsonderlike gebeure buite rekening te laat en te fokus op risiko-maatstawwe wat die hele empiriese verdeling van middelwaarde-gesentreerde opbrengste akkommodeer. Die gevaar bestaan dan dat hierdie modelle geneig is om te faal juis wanneer dit die meeste benodig word, byvoorbeeld in die geval van groot markverskuiwings waartydens organisasies baie groot verliese kan ly. Daar word beoog om met behulp van die Ekstreme Waarde-benadering aan die gebruiker die beste moontlike skatting van die stert-area van die verdeling te gee. Selfs in die afwesigheid van bruikbare historiese data verskaf die Ekstreme Waarde-teorie riglyne ten opsigte van die aard van die verdeling wat gekies moet word, sodat uiterste risiko's versigtig hanteer kan word. Ten einde hierdie metode te illustreer, word dit in hierdie studie toegepas op 'n termynkontrak ten opsigte van buitelandse wisselkoerse. Die geldigheid van die Ekstreme Waarde-teorie ten opsigte van WoR berekenings word getoets deur die data van die Rand/Dollar Eenjaartermynkontrak te bestudeer. 'n Volledig uitgewerkte voorbeeld word verskaf waarin die slaggate en beperkings asook die talle sterkpunte van die model uitgewys word. Hierdie resultate sal vergelyk word met 'n WoR-meting wat bereken is met die GARCH (1,1) model.
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Sumer, Tuba Pelin. "Integrated Risk Management Applications In Offshore Windfarm Construction." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613730/index.pdf.

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This thesis is motivated by a construction company whose main business operation is foundation installations of offshore wind farm projects. Steel is the main input for most of the foundations. This construction company is confronted with price risk when involved in the procurement part of the foundations. The company receives a fixed payment for the project while paying variable raw material costs which depend on the steel spot price on the procurement date. The construction company should use financial markets to eliminate the price risk. However, in most wind farm projects, the steel requirement of a foundation is not known in advance, i.e., there is also a quantity risk. Therefore, it is not possible to completely eliminate the associated risk. In this thesis we analyze the hedging decisions of a value maximizing construction company confronted with both price and quantity risks under the presence of capital market imperfections.
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Alhassan, Ilyas B., and Tahir Mehmood. "INTEGRATED MODEL FOR PROJECT RISK & UNCERTAINTY MANAGEMENT." Thesis, KTH, Tillämpad maskinteknik (KTH Södertälje), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118758.

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Ansaripoor, Amir Hossein. "Risk management in sustainable fleet replacement using conditional value at risk." Thesis, Cergy-Pontoise, Ecole supérieure des sciences économiques et commerciales, 2014. http://www.theses.fr/2014ESEC0006.

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L’objet de cette thèse est d’analyser comment traiter le problème de renouvellement du parc en tenant compte de la durabilité, tout en se plaçant dans une perspective de gestion du risque. Cette thèse apporte une double contribution, au niveau de la politique de gestion du parc et à celui de la méthode utilisée pour appliquer cette politique. Au niveau de la politique, elle étudie l’effet de l’adoption de nouveaux véhicules, disposant d’une technologie de pointe, sur le risque et le coût escompté du système de gestion du parc. Au niveau méthodologique, cette thèse apporte trois contributions. Tout d’abord, elle comporte une étude de la nouvelle formulation du problème du parc en utilisant une programmation stochastique à deux étapes et à multiples étapes et une valeur à risque conditionnelle (CVaR), prenant ainsi en considération l’incertitude dans le processus de décision. En outre, elle élabore une formulation récursive de la CVaR, qui tient compte de la cohérence dans le temps, et elle examine ses propriétés de convergence, dans un cadre dynamique. Enfin, la thèse modélise l’impact sur le profit et le risque de l’utilisation des contrats à option sur le problème de remplacement du parc<br>The purpose of this thesis is to conduct an analysis of how the fleet replacement problem can be addressed from both sustainability and risk management perspectives, simultaneously. The contribution of this thesis has two components, in fleet management policy and in the method used to apply it. At a policy level, this thesis addresses the effect of adoption of new technological advanced vehicles on the risk and expected cost of the fleet management system. At a methodological level, this thesis presents three contributions: First, it studies the new formulation of the fleet problem by using a two stage and a multi stage stochastic programming and conditional value at risk (CVaR), which accounts for the uncertainty in the decision process. Second, it models a recursive formulation of CVaR, which takes into account the time consistency, and studies its convergence properties, in a dynamic setting. Third, it models the impact on profit and risk from using option contracts on the fleet replacement problem
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Hügli, Martin. "Cash Value at-Risk Implications for Portfolio Management /." St. Gallen, 2007. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01651066002/$FILE/01651066002.pdf.

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Books on the topic "Integrated value and risk management"

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Integrated value management. International Thomson Business Press, 1999.

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Board, Canada Treasury. Integrated risk management framework. Treasury Board, 2001.

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Dallas, Michael. Value and Risk Management. John Wiley & Sons, Ltd., 2007.

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Dallas, Michael, ed. Value and Risk Management. Blackwell Publishing Ltd, 2006. http://dx.doi.org/10.1002/9780470759448.

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Inc, ebrary, ed. Derivatives, risk management & value. World Scientific, 2010.

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LLP, PricewaterhouseCoopers. Enterprise risk management: Integrated framework. AICPA, 2004.

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Cormier, Roland. Integrated coastal-zone risk management. ICES, International Council for the Exploration of the Sea/Conseil International pour l'Exploration de la mer, 2013.

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LLP, PricewaterhouseCoopers. Enterprise risk management: Integrated framework. AICPA, 2004.

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PricewaterhouseCoopers LLP. Enterprise risk management: Integrated framework. Committee of Sponsoring Organizations of the Treadway Commission, 2004.

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K, Bansal Vipul, ed. Measuring market risk with value at risk. John Wiley, 2001.

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Book chapters on the topic "Integrated value and risk management"

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Moratis, Lars. "Integrated Value." In Encyclopedia of Sustainable Management. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-02006-4_916-1.

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Rose, Adam. "Risk Management." In Integrated Disaster Risk Management. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1533-5_8.

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Rogers, Jamie. "Risk Management." In Strategy, Value and Risk. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230353930_9.

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Vanhoucke, Mario. "Earned Value Management." In Integrated Project Management Sourcebook. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27373-0_10.

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Olson, David L., and Desheng Wu. "Value at Risk." In Enterprise Risk Management Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11474-8_10.

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Ranke, Ulrich. "Integrated Disaster Risk Management." In Natural Disaster Risk Management. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20675-2_8.

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Smith, Sean Stein. "The Value Proposition of Integrated Reporting." In Integrated Reporting Management. Productivity Press, 2018. http://dx.doi.org/10.4324/9781351015479-9.

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Vanhoucke, Mario. "Schedule Risk Analysis." In Integrated Project Management Sourcebook. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27373-0_7.

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Fewings, Peter, and Christian Henjewele. "Managing risk and value." In Construction Project Management. Routledge, 2019. http://dx.doi.org/10.1201/9781351122030-11.

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Rogers, Jamie. "Risk Management." In Strategy, Value and Risk — The Real Options Approach. Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230513051_8.

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Conference papers on the topic "Integrated value and risk management"

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Ahumada, Carolina. "BHP mine water management: an integrated approach to manage risk and optimise resource value." In 2020 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering. Australian Centre for Geomechanics, Perth, 2020. http://dx.doi.org/10.36487/acg_repo/2025_0.01.

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Liming, James K., and Ernest J. Kee. "Integrated Risk-Informed Asset Management for Commercial Nuclear Power Stations." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22033.

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The objective of this paper is to provide electric utilities with a concept for preparing and implementing integrated risk-informed asset management (RIAM) programs for power stations and generating companies. RIAM is a process by which analysts review historical performance and develop predictive logic models and data analyses to predict critical decision support figures-of-merit (or metrics) for generating station managers and electric utility company executives. These metrics include, but are not limited to, the following: profitability, projected revenue, projected costs, asset value, safety (catastrophic facility damage frequency and consequences, etc.), power production availability (capacity factor, etc.), efficiency (heat rate), and others. RIAM applies probabilistic safety assessment (PSA) techniques and generates predictions probabilistically so that metrics information can be supplied to managers in terms of probability distributions as well as point estimates. This enables the managers to apply the concept of “confidence levels” in their critical decision-making processes.
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DeGagne, David C. "Risk Communication, A Component of an Integrated Risk Management Process for Pipeline Operators." In 1996 1st International Pipeline Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/ipc1996-1817.

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It is essential in today’s socio-economic environment that pipeline operators adopt and utilize a comprehensive approach to managing technical, environmental, economic and public safety risks associated with their business. Clearly, this type of approach to risk management would be integrated and include a variety of considerations. For example, one is the technical assessment of the level of safety or risk inherent within the system itself. Another, is the external view held of that system. While the physical system and its associated risk can be identified, evaluated and to some extent controlled, the external view of the risk, however, is an entirely different matter. Making important decisions about risk requires that both the external and internal views be in agreement. When this is not the case, an integrated management plan needs to include a risk communication component. Simply, risk communication is the purposeful exchange of information about the existence, nature, form, severity or acceptability of risks.1 An effective risk communication strategy will be able to gauge the political and social reaction to a project. If pipeline operators try to establish what a project’s acceptable level of risk is without a purposeful exchange of information with the community the effort will likely fail. The need to look at the “big picture” is paramount. All factors which affect the outcome of the project need to be understood and, in some way, contribute meaningfully to the final product. The most overlooked aspect in risk management is the qualitative assessment of “how does the public perceive the risk?”. Risk analysts use many basic technical assumptions in their risk assessments. They allow their training and faith in the science to be sufficient indicators of the real risk. The public, on the other hand, view risk from a completely different perspective and set of values. Consequently, when attempts are made to quantitatively determine “what is an acceptable level of risk” the outcome must be viewed as incomplete, lacking the critical external input. Experience suggests that the only ones who can truly determine what is an acceptable level of risk are those who must ultimately accept that risk. This is where the power of effective risk communication can play a significant role in the risk management process. While risk analysis can help in understanding the potential of a risk, effective risk communication and public outreach are necessary in understanding the perceptions and concerns of the community. It seems ironic that corporations dedicate tremendous resources deriving a mathematical estimate of risk that most in the community cannot comprehend much less believe what the numbers are supposed to tell them. This paper will help to explain the fundamentals of risk communication, its ethical use and methods for developing a strategy for outreach programs as part of an integrated risk management plan.
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Agrawal, J. P. N., and S. P. Srivastava. "Methodology of Risk Management in Pipeline Projects." In ASME 2013 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/iogpc2013-9841.

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Organizations of all types and sizes face internal and external factors and influences that make it uncertain whether and when they will achieve their business objectives. The effect this uncertainty has on an organization’s objectives is “RISK”. In recent times all sectors of the economy have shifted focus towards the management of risk as the key to making organizations successful in delivering their objectives while protecting the interests of their stakeholders. Risk may be defined as events or conditions that may occur, and whose occurrence, if it does take place, has a harmful or negative impact on the achievement of the organization’s business objectives. The exposure to the consequences of uncertainty constitutes a risk. Organizations that are most effective and efficient in managing risks to both existing assets and to future growth will, in the long run, outperform those that are less so. Simply put, companies make money by taking intelligent risks and lose money by failing to manage risk intelligently. Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives, whether positive or negative) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risks can come from uncertainty in financial markets, project failures (at any phase in design, development, production, or sustainment life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters as well as deliberate attack from an adversary, or events of uncertain or unpredictable root-cause. Several risk management standards have been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards. Methods, definitions and goals vary widely according to whether the risk management method is in the context of project management, security, engineering, industrial processes, financial portfolios, actuarial assessments, or public health and safety. Risk management is a holistic, integrated, structured and disciplined approach to managing risks with the objective of maximizing shareholder’s value. It aligns strategy, processes, people &amp; culture, technology and governance with the purpose of evaluating and managing the uncertainties faced by the organization while creating value. Broadly this paper deals with the objective of risk management along with identification, polarization, mitigation and governance of risks associated with pipeline projects. Further the criteria for assigning the probabilities and impact of an identified risk along with their classification based on its probability and impact are also incorporated in the paper.
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Van Hardeveld, Thomas. "Risk-Based Management of Rotating Equipment." In 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-271.

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There is increasing emphasis on improving the effectiveness of all physical assets, particularly major assets such as rotating equipment where the financial and business consequences of failure are significant. A number of approaches to asset (or maintenance) management have been proposed and attempted with varying degrees of success. Maintenance philosophies such as Total Productive Maintenance, Condition-Based Maintenance and Reliability Centered Maintenance are being heavily promoted by users and consultants alike. However, a consistent and comprehensive solution to business needs has not always resulted and implementation of these new techniques has often been only partially successful. This lack of success is often caused by the absence of a comprehensive approach to asset management that considers all aspects of the equipment life cycle. It is now beginning to be recognized that a risk-based approach offers a unique opportunity for providing an integrated perspective on the management of physical assets. Risk-based methods not only offer a powerful method for assisting in decision-making that can span from high level to lower level decisions but also provides specific tools that can be brought to bear on design, operational and maintenance needs. These methods fully support a life cycle view of assets that optimizes their effectiveness in the context of overall business goals and objectives. This paper describes the application of risk-based management and associated techniques to the life cycle of major rotating equipment in pipeline operation. A comprehensive framework consistent with best practices and international standards is established providing the basis for design, construction, operation and maintenance phases of the life cycle. Of key importance is the presentation of a decision-making process based on integrated risk that brings major value to operators of physical assets. Relevant risk-based techniques are described and evaluated for applicability to rotating equipment.
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James, P. J., and A. Franks. "Effective Safety Management - The tale of the Engineer, Safety Manager and Accountant." In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.050.

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In several recent naval ship building projects, Lloyd’s Register has been looking at methods for integrating statutory compliance with the hazard and risk assessment mandated by some ship building contracts. The Authors have observed that standards are sometimes applied without due regard of operational context. Equally they have spent hours assessing risks for simple reliable equipment designed to rules, codes and standards. As a result, we propose in this paper, an integrated approach for assessing the whole ship safety, with a focus on the safe to operate aspects, building a comprehensive safety argument founded on an agreed standards set which is augmented with a focused safety assessment delivering value and a proportionate risk assessment.
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Luta (Manolescu), Daniela Alice, Adrian Ioana, Daniela Tufeanu, Daniela Ionela Juganaru, and Bianca Cezarina Ene. "FINANCIAL MANAGEMENT ELEMENTS SPECIFIC TO INVESTMENTS APPLICABLE IN EDUCATIONAL SYSTEMS." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.2020.337.

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Our starting point is the definition and classification of investments, both financial and accounting. Thus, in a financial sense, an investment represents the change of an existing and available amount of money, with the hope of obtaining a higher but probable income in the future. In the accounting sense, an investment is the allocation of an amount available for the purchase of an asset, which will determine the future financial flows of income and expenses. Investments can be classified into two categories: domestic investments - consist of the allocation of capital for the purchase of machines, equipment, constructions, licenses, patents, etc. Their purpose can be to reduce costs, increase production, improve quality, increase market share, etc.; foreign investments - consist of capital investments in shares in other companies. They are also called financial investments and aim to increase the value of the company and diversify sources of income. We also analyze in this article the investment decision. The investment decision is the most important financial decision which a manager has to make. An investment usually involves allocating large sums of money in the long run, with a relatively high degree of risk. We also present and analyze both the stages of establishing an investment decision and the methods of evaluating an investment project. The article also presents management elements regarding the investment recovery term; discounted net value method, investment risk assessment.
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Surovtsev, Dmitry, Parth Joshi, and Muhammad Usman Sethi. "The Dusk of MEFS in the Digital Era of Exploration Value Creation." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21458-ms.

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Abstract The concept of minimum economic field size (MEFS) has been used by explorationists for almost four decades. MEFS is often the only filter to distinguish between a commercial and a non-commercial discovery—far before a wildcat well is drilled—to test a prospect for a working petroleum systems hypothesis. As simple as it gets, the concept started to lose traction in the 21st century as subsurface targets became more and more challenging. In the case of tight hydrocarbons, it is fairly common to observe a P90 case net present value (NPV) to be negative, a P50 case to be positive, and a P10 case to be negative again. The reason for this outcome is that a whole set of full-cycle factors, in addition to the field size, affects prospect commerciality. Their uncertainty ranges can match or exceed resource estimate uncertainty. These factors include, but are not limited to, initial productivity of development wells, estimated eltimate recovery (EUR) per well, decline curve parameters, capital investments, operating costs, and the project phases’ durations. A new way of handling the full universe of risks and uncertainties faced by modern explorers is already available in the new generation of industry-leading integrated prospect risk, resource and value assessment software. Innovators and thought leaders can already substitute MEFS with a commerciality threshold (CT) that neatly mimics board considerations at the final investment decision (FID) stage gate. Others can consider the economic chance of success (ECOS) estimated with a probabilistic full-cycle mindset, as an additional metric valuable for risk management purposes. Using fictional case studies inspired by real-life assessment situations, we discuss the additional value creation by a CT-powered workflow as compared to an MEFS-based one and explain the reasons for the key differences. The discussed workflow does not eliminate nature-specific uncertainties; neither does it reduce the geological risk. However, it helps to better understand human-controlled risks and prepare management exploration decisions with a greater degree of confidence.
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Liming, James K., and James E. Salter. "A Multiple Decision Support Metrics Method for Effective Risk-Informed Asset Management." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49025.

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The objective of this paper is to provide electric utilities with a concept for developing and applying effective decision support metrics via integrated risk-informed asset management (RIAM) programs for power stations and generating companies. RIAM is a process by which analysts review historical performance and develop predictive logic models and data analyses to predict critical decision support figures-of-merit (or metrics) for generating station managers and electric utility company executives. These metrics include, but are not limited to, the following: profitability, net benefit, benefit-to-cost ratio, projected return on investment, projected revenue, projected costs, asset value, safety (catastrophic facility damage frequency and consequences, etc.), power production availability (capacity factor, etc.), efficiency (heat rate), and others. RIAM applies probabilistic safety assessment (PSA) techniques and generates predictions probabilistically so that metrics information can be supplied to managers in terms of probability distributions as well as point estimates. This enables the managers to apply the concept of “confidence levels” in their critical decision-making processes.
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Khan, Osama Hasan, Samad Ali, Mohamed Ahmed Elfeel, Shripad Biniwale, and Rashmin Dandekar. "Integrated Field Management System for LNG Assets: Maximizing Asset Value Through Representative End-To-End Modeling." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205969-ms.

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Abstract Effective asset-level decision-making relies on a sound understanding of the complex sub-components of the hydrocarbon production system, their interactions, along with an overarching evaluation of the asset's economic performance under different operational strategies. This is especially true for the LNG upstream production system, from the reservoir to the LNG export facility, due to the complex constraints imposed by the gas processing and liquefaction plant. The evolution of the production characteristics over the asset lifetime poses a challenge to the continued and efficient operation of the LNG facility. To ensure a competitive landed LNG cost for the customer, the economics of the production system must be optimized, particularly the liquefaction costs which form the bulk of the operating expenditure of the LNG supply chain. Forecasting and optimizing the production of natural gas liquids helps improve the asset economics. The risks due to demand uncertainty must also be assessed when comparing development alternatives. This paper describes the application of a comprehensive field management framework that can create an integrated virtual asset by coupling reservoir, wells, network, facilities, and economics models and provides an advisory system for efficient asset management. In continuation of previously published work (Khan, Ali, Elfeel, Biniwale, &amp; Dandekar, 2020), this paper focuses on the integration of a steady-state process simulation model that provides high-fidelity thermo-physical property prediction to represent the gas treatment and LNG plant operation. This is accomplished through the Python-enabled extensibility and generic capability of the field management system. This is demonstrated on a complex LNG asset that is fed by sour gas of varying compositions from multiple reservoirs. An asset wide economics model is also incorporated in the integrated model to assess the economic performance and viability of competing strategies. The impact of changes to the wells and production network system on LNG plant operation is analyzed along with the long-term evolution of the inlet stream specifications. The end-to-end integration enables component tracking throughout the flowing system over time which is useful for contractual and environmental compliance. Integrated economics captures costs at all levels and enables the comparison of development alternatives. Flexible integration of the dedicated domain models reveals interactions that can be otherwise overlooked. The ability of the integrated field management system to allow the modeling of the sub-systems at the ‘right’ level of fidelity makes the solution versatile and adaptable. In addition, the integration of economics enables the maximization of total asset value by improving decision making.
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Reports on the topic "Integrated value and risk management"

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Ford, David N., Thomas J. Housel, and Johnathan Mun. Naval Ship Maintenance: An Analysis of the Dutch Shipbuilding Industry Using the Knowledge Value Added, Systems Dynamics, and Integrated Risk Management Methodologies. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada580597.

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Ford, David N., Thomas J. Housel, and Johnathan C. Mun. Naval Ship Maintenance: An Analysis of the Dutch Shipbuilding Industry using the Knowledge Value Added, Systems Dynamics, and Integrated Risk Management Methodologies. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada584775.

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W. A. Owca. Integrated Waste Treatment Unit GFSI Risk Management Plan. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/909857.

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Osti, Rabindra. Institutional and Governance Dimensions of Flood Risk Management:Bridging Integrated Water Resources Management and Disaster Risk Management Principles. Asian Development Bank, 2019. http://dx.doi.org/10.22617/wps190614-2.

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Bentley, Jenn A., Ryan Breuer, Leo L. Timms, et al. Implementing Risk Management Decisions that Optimize Nutrient Value of Dairy Manure while Minimizing Related Risk. Iowa State University, 2016. http://dx.doi.org/10.31274/ans_air-180814-203.

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Dirige, Desiree S., and Larry H. Yu. Deficient Contractor Business Systems: Applying the Value at Risk (VAR) Model to Earned Value Management Systems. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada583583.

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Froot, Kenneth, and Jeremy Stein. Risk Management, Capital Budgeting and Capital Structure Policy for Financial Institutions: An Integrated Approach. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/w5403.

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Szilard, Ronaldo Henriques, Robert Youngblood, Cesare Frepoli, et al. Risk-Informed Margin Management (RIMM) Industry Applications IA1 - Integrated Cladding ECCS/LOCA Performance Analysis - Problem Statement. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1369619.

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Greene, Anne, Kelly Waldron, and Nuala Calnan. Quality Risk Management: State of the Industry—Part 1. Has the Industry Realized the Full Value of ICH Q9? Institute of Validation Technology, 2014. http://dx.doi.org/10.1080/21507090.ar1152014agkwnc-qrmsoi.

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This paper summarizes research designed to characterize the current state of pharmaceutical and biotechnology industries with respect to the adoption of Quality Risk Management as per ICH Q9. The research supports the hypotheses that the full value of QRM with respect to product quality and patient safety has not yet been realized. In addition, industry appears to be lagging behind regulatory expectations with respect to QRM maturity, indicating that current approaches to QRM require significant improvement.
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Mahaffey, J. A., P. G. Doctor, R. L. Buschbom, et al. A strategic analysis study-based approach to integrated risk assessment: Occupational health risks from environmental restoration and waste management activities at Hanford. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6760022.

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