Relevant bibliographies by topics / Risk distribution

Contents

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

Academic literature on the topic 'Risk distribution'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Risk distribution"

1

Montira, Yingvilasprasert, and Banomyong Ruth. "Risk Distribution Strategy: An Alternative Solution for Global Supply Chain Risk Management." International Journal of Advances in Management and Economics 01, no. 04 (2012): 74–84. http://dx.doi.org/10.31270/ijame/01/04/2012/10.

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Alexis Bienvenüe and Christian Y. Robert. "Systemic Tail Risk Distribution." Annals of Economics and Statistics, no. 123/124 (2016): 29. http://dx.doi.org/10.15609/annaeconstat2009.123-124.0029.

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Breuer, Thomas, and Imre Csiszár. "MEASURING DISTRIBUTION MODEL RISK." Mathematical Finance 26, no. 2 (2013): 395–411. http://dx.doi.org/10.1111/mafi.12050.

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Sciortino, John J., John H. Huston, and Roger W. Spencer. "Risk and income distribution." Journal of Economic Psychology 9, no. 3 (1988): 399–408. http://dx.doi.org/10.1016/0167-4870(88)90043-8.

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Li, Yifei, Lei Shi, Neil Allan, and John Evans. "An analysis of power law distributions and tipping points during the global financial crisis." Annals of Actuarial Science 13, no. 1 (2018): 80–91. http://dx.doi.org/10.1017/s1748499518000088.

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AbstractHeavy-tailed distributions have been observed for various financial risks and papers have observed that these heavy-tailed distributions are power law distributions. The breakdown of a power law distribution is also seen as an indicator of a tipping point being reached and a system then moves from stability through instability to a new equilibrium. In this paper, we analyse the distribution of operational risk losses in US banks, credit defaults in US corporates and market risk events in the US during the global financial crisis (GFC). We conclude that market risk and credit risk do no
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Nguyen, Minh-Tri, and Martin Ottmann. "Das dicke Ende: Quantifizierung Operationeller Risiken mit Hilfe des Loss-Distribution-Approaches." RISKNEWS 2, no. 4 (2005): 42–46. http://dx.doi.org/10.1002/risk.200590074.

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Cowell, F. B. "Distribution Functions in Risk Analysis." Journal of the Operational Research Society 42, no. 3 (1991): 267. http://dx.doi.org/10.2307/2583330.

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Kochi, Arata. "Tuberculosis: Distribution, Risk Factors, Mortality." Immunobiology 191, no. 4-5 (1994): 325–36. http://dx.doi.org/10.1016/s0171-2985(11)80437-7.

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Cowell, F. B. "Distribution Functions in Risk Analysis." Journal of the Operational Research Society 42, no. 3 (1991): 267. http://dx.doi.org/10.1057/jors.1991.63.

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JANCIN, BRUCE. "Hemangioma Distribution Predicts PHACES Risk." Pediatric News 42, no. 9 (2008): 8. http://dx.doi.org/10.1016/s0031-398x(08)70412-0.

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Dissertations / Theses on the topic "Risk distribution"

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Jöhnemark, Alexander. "Modeling Operational Risk." Thesis, KTH, Matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107435.

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The Basel II accord requires banks to put aside a capital buffer against unexpected operational losses, resulting from inadequate or failed internal processes, people and systems or from external events. Under the sophisticated Advanced Measurement Approach banks are given the opportunity to develop their own model to estimate operational risk.This report focus on a loss distribution approach based on a set of real data. First a comprehensive data analysis was made which suggested that the observations belonged to a heavy tailed distribution. An evaluation of commonly used distributions was pe
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Heinäkoski, L. (Lauri). "Limitations of normal distribution in economic risk analysis." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201805091662.

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Benoit Mandelbrot argued the presence of power law tails in sampling distributions of economic time series leads to emergence of non-Gaussian stable distributions in economics. This thesis studies the Mandelbrot-hypothesis by examining the statistical foundations behind Central Limit Theorems and analyzing empirical data of economic prices. Implications of the hypothesis are pondered from the perspective of banking regulation and some difficulties related to models of economic risk are discussed in general terms. Empirical section of the thesis studies time series data on S&P500 stock market
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Hoagland, Steven. "TRANSIENT-BASED RISK ANALYSIS OF WATER DISTRIBUTION SYSTEMS." UKnowledge, 2016. http://uknowledge.uky.edu/ce_etds/39.

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Water distribution system utilities must be able to maintain a system’s assets (i.e., pumps, tanks, water mains, etc.) in good working condition in order to provide adequate water quantity and quality to its customers. Various asset management approaches are employed by utilities in order to make optimal decisions regarding the renewal of system components. Part of a good asset management approach is performing a comprehensive risk analysis which consists of considering all potential ways in which the system may fail, the likelihood failure of for each scenario, and the consequences of said fa
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Nowicki, Pierre. "Counterparty credit risk under credit risk contagion using time-homogeneous phase-type distribution." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/33778.

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With the current situation of credit spread contagion illustrated by the European sovereign bonds crisis and the chain reaction triggered by the derivatives books of Lehman Brothers, financial institutions have increasingly focused on pricing and risk management of counterparty credit risk. Recent credit contagion through financial contingent claims highlight the fact that contagion links impact the value of products when investors are exposed to counterparty risk. This thesis plan to build on reduced-form credit risk models to assess the credit risk contagion that is inherent in a obligor mul
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Heard, Astrid. "APPLICATION OF STATISTICAL METHODS IN RISK AND RELIABILITY." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2602.

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The dissertation considers construction of confidence intervals for a cumulative distribution function F(z) and its inverse at some fixed points z and u on the basis of an i.i.d. sample where the sample size is relatively small. The sample is modeled as having the flexible Generalized Gamma distribution with all three parameters being unknown. This approach can be viewed as an alternative to nonparametric techniques which do not specify distribution of X and lead to less efficient procedures. The confidence intervals are constructed by objective Bayesian methods and use the Jeffreys noninforma
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Yamijala, Shridhar. "Statistical estimation of water distribution system pipe break risk." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1471.

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Mazumder, Ram Krishna. "Risk-Based Asset Management Framework for Water Distribution Systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594169243438607.

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Yan, Jimin. "Risk assessment of contaminant intrusion into water distribution system." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/7767.

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It is recognised through current literature that contaminantin trusion is a primary threat leading to degradation of water quality and threat to human health. The problem is more serious in developing countries where the water supply is intermittent and water distribution system crisscross with sanitary systems. Therefore there is a need to develop the methodology that enables the decision makers and engineers to undertake actions to minimise the risk of contamination of water. The researchs tudy presentedin this thesis addresses these water quality issues by developing the appropriate modelli
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Wallnerström, Carl Johan. "On Incentives affecting Risk and Asset Management of Power Distribution." Doctoral thesis, KTH, Elektroteknisk teori och konstruktion, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-37310.

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The introduction of performance based tariff regulations along with higher media and political pressure have increased the need for well-performed risk and asset management applied to electric power distribution systems (DS), which is an infrastructure considered as a natural monopoly. Compared to other technical systems, DS have special characteristics which are important to consider. The Swedish regulation of DS tariffs between 1996 and 2012 is described together with complementary laws such as customer compensation for long outages. The regulator’s rule is to provide incentives for cost eff
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Alvehag, Karin. "Impact of dependencies in risk assessments of power distribution systems." Licentiate thesis, KTH, School of Electrical Engineering (EES), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9264.

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<p> Society has become increasingly dependent on electricity, so power system reliability is of crucial importance. However, while underinvestment leads to an unacceptable number of power outages, overinvestment will result in costs that are too high for society. The challenge is to find a socioeconomically adequate level of risk. In this risk assessment, not only the probability of power outages, but also the severity of their consequences should be included.</p><p> </p><p>A risk assessment can be performed from either the perspective of customers or the perspective of the grid owner, dependi
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Books on the topic "Risk distribution"

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Shin, Kilman. Interest rate, risk, and income distribution. Taegu University Press, 1986.

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G, Rowe, and Statistics Canada. Social and Economic Studies Division., eds. Mortality risk distribution: A life table analysis. Social and Economic Studies Division, Statistics Canada, 1988.

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Fafchamps, Marcel. Inequality and risk. United Nations University, World Institute for Development Economics Research, 2002.

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Michael, Doumpos, Zopounidis Constantin, and SpringerLink (Online service), eds. Country Risk Evaluation. Springer-Verlag US, 2008.

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Ottaviani, G. Financial Risk in Insurance. Springer Berlin Heidelberg, 2000.

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Laakkonen, Arto. Return, risk, and distribution statistics of common stocks. [University of Vaasa], 1988.

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Sinn, Hans-Werner. Social insurance, incentives and risk taking. National Bureau of Economic Research, 1995.

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Stochastic Storage Processes: Queues, Insurance Risk, Dams, and Data Communication. Springer New York, 1998.

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Cripps, Martin. Capital market risk and the dynamic of the income distribution. Warwick University, 1999.

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Sundt, Bjorn. On approximations for the distribution of a heterogeneous risk portfolio. Laboratory of Actuarial Mathematics, Univ. of Copenhagen, 1985.

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Book chapters on the topic "Risk distribution"

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Azis, Iwan J., and Hyun Song Shin. "Capital Flows and Income Distribution." In Managing Elevated Risk. Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-287-284-5_5.

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Yoe, Charles. "Choosing a Probability Distribution." In Principles of Risk Analysis. CRC Press, 2019. http://dx.doi.org/10.1201/9780429021121-13.

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Leaman, Jeremy. "Market Distribution, Fiscal Distribution and Inequality: A Case Study of Britain." In Welfare State at Risk. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01481-4_5.

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Auer, Martin. "Distribution Tests." In Hands-On Value-at-Risk and Expected Shortfall. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72320-4_16.

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Shevchenko, Pavel V. "Loss Distribution Approach." In Modelling Operational Risk Using Bayesian Inference. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15923-7_2.

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Bravo, Jorge Miguel. "IDD and Distribution Risk Management." In AIDA Europe Research Series on Insurance Law and Regulation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52738-9_14.

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AbstractDistribution is a key aspect of insurers’ business models. Insurance companies use multi-channel and multi touch-point distribution methods to target their customers. Insurers must manage the distribution risk arising from actions of the distribution channel, which have the potential to impact the quality and volume of the insured portfolio, the insurer’s income-generating capacity, long-term financial sustainability and brand value. In this chapter we discuss the implications of the introduction of the Insurance Distribution Directive (IDD) on distribution risk management and on firm’s entire value chain. The expected impact of IDD main provisions (demands and needs analysis, suitability and appropriateness requirements, remuneration and incentive mechanisms, conflicts of interest dispositions, cross-selling, POG, information to customers, CPD) on product development, sales and distribution, underwriting and policy administration, claims, asset and customer management activities are analysed, considering the influence of digitalization on insurance distribution and value chain.
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Kim, Yong-kyun, and Hong-Gyoo Sohn. "Focusing Events in the Power-Law Distribution." In Disaster Risk Reduction. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4789-3_4.

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Shevchenko, Pavel V. "Calculation of Compound Distribution." In Modelling Operational Risk Using Bayesian Inference. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15923-7_3.

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Cruz, Marco R. M., Desta Z. Fitiwi, Sergio F. Santos, Miadreza Shafie-khah, and Joao P. S. Catalao. "Managing Risk in Electric Distribution Networks." In Electric Distribution Network Management and Control. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7001-3_1.

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Adhikari, Basanta Raj, and Bingwei Tian. "Spatiotemporal Distribution of in." In Handbook of Disaster Risk Reduction for Resilience. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61278-8_20.

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Conference papers on the topic "Risk distribution"

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Augutis, J., R. Krikstolaitis, V. Matuzas, and E. Uspuras. "Evaluation of hazard distribution in network structures." In RISK ANALYSIS 2006. WIT Press, 2006. http://dx.doi.org/10.2495/risk060341.

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Mokete, G., and D. Stephenson. "Minimizing Risk on Long Pipelines." In Water Distribution Systems Analysis 2008. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)28.

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Pearson, D. J. "Risk assessment model for distribution system reliability." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970650.

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Jokšas, B., I. Žutautaitė-Šeputienė, J. Augutis, and E. Ušpuras. "Assessment of hazard distribution within network systems with resistance feature." In RISK ANALYSIS 2010. WIT Press, 2010. http://dx.doi.org/10.2495/risk100021.

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Murray, Regan, Terranna Baranowski, William E. Hart, and Robert Janke. "Risk Reduction and Sensor Network Design." In Water Distribution Systems Analysis 2008. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)96.

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Bertolatti, D., and K. Rumchev. "Size distribution and elemental composition of ultrafine and nanoparticles." In ENVIRONMENTAL HEALTH RISK 2009. WIT Press, 2009. http://dx.doi.org/10.2495/ehr090051.

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Sreekumar, S., and A. Aslam. "Spatio-temporal distribution of slope failures in the Western Ghats of Kerala, India." In RISK ANALYSIS 2010. WIT Press, 2010. http://dx.doi.org/10.2495/risk100361.

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Zheng, Haotian. "Emergency Materials Distribution Risk Control." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Atlantis Press, 2014. http://dx.doi.org/10.2991/lemcs-14.2014.27.

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Wang, Xiaobin, and Yaofei Li. "Emergency Materials Distribution Risk Control." In 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. Atlantis Press, 2014. http://dx.doi.org/10.2991/meic-14.2014.394.

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Reddy, Seth C., and Armin W. Stuedlein. "Impact of Resistance Distribution Selection on Foundation Reliability in Consideration of Lower-Bound Limits." In Geo-Risk 2017. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480700.043.

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Reports on the topic "Risk distribution"

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Drautzburg, Thorsten, Jesús Fernández-Villaverde, and Pablo Guerrón-Quintana. Political Distribution Risk and Aggregate Fluctuations. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23647.

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Croce, Mariano Max, Thien Nguyen, and Steve Raymond. Persistent Government Debt and Aggregate Risk Distribution. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26177.

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Benhabib, Jess, Alberto Bisin, and Shenghao Zhu. The Wealth Distribution in Bewley Models with Investment Risk. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20157.

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Emmons, William R. Interbank Netting Agreements and the Distribution of Bank Default Risk. Federal Reserve Bank of St. Louis, 1995. http://dx.doi.org/10.20955/wp.1995.016.

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Lustig, Hanno, and Yi-Li Chien. The Market Price of Aggregate Risk and the Wealth Distribution. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11132.

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Gupta, Shanti S., and Friedrich Liese. Asymptotic Distribution of the Random Regret Risk for Selecting Exponential Populations. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358189.

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Stern, Nicholas, and Joseph Stiglitz. The Social Cost of Carbon, Risk, Distribution, Market Failures: An Alternative Approach. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28472.

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Simion, G. P., R. L. VanHorn, C. L. Smith, J. H. Bickel, M. B. Sattison, and K. D. Bulmahn. Risk analysis of highly combustible gas storage, supply, and distribution systems in PWR plants. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10162133.

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Hernández, Belinda, Donal Sexton, Frank Moriarty, et al. High-risk categories for COVID-19 and their distribution by county in Republic of Ireland-evidence from the TILDA study. The Irish Longitudinal Study on Ageing, 2020. http://dx.doi.org/10.38018/tildare.2020-03.

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Kaplan, D. Recommended Distribution Coefficients, Kd Values, for Special Analysis Risk Calculations Related to Waste Disposal and Tank Closure on the Savannah River Site. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/890185.

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