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Letteratura scientifica selezionata sul tema "Asset-based model"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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Articoli di riviste sul tema "Asset-based model"

1

Gomes, Luiz Flavio Autran Monteiro, Luís Alberto Duncan Rangel, and Gisele Dos Santos. "An AHP-based asset allocation model." International Journal of Business and Systems Research 10, no. 1 (2016): 78. http://dx.doi.org/10.1504/ijbsr.2016.073693.

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Kampert, David, Ulrich Epple, and Martin Mertens. "Model-Based Management of Asset Information." Softwaretechnik-Trends 32, no. 2 (May 2012): 84–85. http://dx.doi.org/10.1007/bf03323492.

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3

Qin, Jie. "Regret-based capital asset pricing model." Journal of Banking & Finance 114 (May 2020): 105784. http://dx.doi.org/10.1016/j.jbankfin.2020.105784.

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4

McLean, Robert A. "LAPM: A Liquidity-Based Asset Pricing Model." CFA Digest 32, no. 2 (May 2002): 69–70. http://dx.doi.org/10.2469/dig.v32.n2.1078.

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5

Duffie, Darrell, and William Zame. "The Consumption-Based Capital Asset Pricing Model." Econometrica 57, no. 6 (November 1989): 1279. http://dx.doi.org/10.2307/1913708.

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6

Holmström, Bengt, and Jean Tirole. "LAPM: A Liquidity-Based Asset Pricing Model." Journal of Finance 56, no. 5 (October 2001): 1837–67. http://dx.doi.org/10.1111/0022-1082.00391.

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7

Arroyo, Cristino R. "TESTING A PRODUCTION-BASED ASSET-PRICING MODEL." Economic Inquiry 34, no. 2 (April 1996): 357–77. http://dx.doi.org/10.1111/j.1465-7295.1996.tb01382.x.

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8

North, Reiner. "Fuzzy-Logic-Based Asset Allocation." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 03 (May 29, 2019): 483–512. http://dx.doi.org/10.1142/s0218488519500223.

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Abstract (sommario):

This paper provides an introduction to how, on the basis of concepts from fuzzy logic, a model of asset allocation can be constructed which can represent and aggregate all the relevant quantitative and qualitative features of an investment plan realistically and in this way attains comparatively good recommendations like an expert. All calculation steps are carried out in a transparent and reproducible manner. In order to clarify the approach and the advantages of the procedure, a pilot model is developed. This supports the advisor with the asset allocation, by first analysing the features of

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Delikouras, Stefanos, and Alexandros Kostakis. "A Single-Factor Consumption-Based Asset Pricing Model." Journal of Financial and Quantitative Analysis 54, no. 2 (September 14, 2018): 789–827. http://dx.doi.org/10.1017/s0022109018000819.

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We propose a single-factor asset pricing model based on an indicator function of consumption growth being less than its endogenous certainty equivalent. This certainty equivalent is derived from generalized disappointment-aversion preferences, and it is located approximately 1 standard deviation below the conditional mean of consumption growth. Our single-factor model can explain the cross section of expected returns for size, value, reversal, profitability, and investment portfolios at least as well as the Fama–French multifactor models. Our results show strong empirical support for asymmetri

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Yan, Yu, and Yiming Wang. "Asset Pricing Model Based on Fractional Brownian Motion." Fractal and Fractional 6, no. 2 (February 11, 2022): 99. http://dx.doi.org/10.3390/fractalfract6020099.

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This paper introduces one unique price motion process with fractional Brownian motion. We introduce the imaginary number into the agent’s subjective probability for the reason of convergence; further, the result similar to Ito Lemma is proved. As an application, this result is applied to Merton’s dynamic asset pricing framework. We find that the four order moment of fractional Brownian motion is entered into the agent’s decision-making. The decomposition of variance of economic indexes supports the possibility of the complex number in price movement.

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Tesi sul tema "Asset-based model"

1

Pedron, Nieves Hicks. "Model-based asset management : a comparative study." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299230.

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2

Laurinavičius, Algimantas. "The implementation model of the Asset-based policy in Lithuania." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2013~D_20131028_140957-69469.

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The object of the research is the asset-based policy, as a measure to reduce poverty and inequality, based on saving, investment and asset accumulation. The purpose of the research is to analyse the experience of foreign countries, evaluate the need of asset-based policy in Lithuania and create a hypothetical model for implementation of this policy. In order to meet this purpose theoretical aspects of the asset-based welfare have been reviewed, asset-based policy models implemented in foreign countries have been analyzed, socio-economic, demographic situation of Lithuanian population, as well

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3

Bjorheim, Jacob. "The epistemological value of the consumption based capital asset pricing model." Thesis, London School of Economics and Political Science (University of London), 2014. http://etheses.lse.ac.uk/939/.

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The thesis is a philosophical analysis of the consumption based capital asset pricing model (CCAPM), investigating in particular its epistemological and methodological foundations. Financial markets are integral parts of advanced and developing economies. They matter because they channel unspent household income into banks’ savings accounts and assets such as bonds and stocks. Financial economists have traditionally taken interest in the pricing mechanism that underlies this capital allocation. The consumption based capital asset pricing model (CCAPM) is a prominent effort to describe, explain

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4

McEwan, Peter Gareth Fredric. "The GARCH-EVT-Copula model and simulation in scenario-based asset allocation." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/11732.

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Financial market integration, in particular, portfolio allocations from advanced economies to South African markets, continues to strengthen volatility linkages and quicken volatility transmissions between participating markets. Largely as a result, South African portfolios are net recipients of returns and volatility shocks emanating from major world markets. In light of these, and other, sources of risk, this dissertation proposes a methodology to improve risk management systems in funds by building a contemporary asset allocation framework that offers practitioners an opportunity to explici

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Wang, Hui. "An empirical analysis of household asset allocation based on a rational expectations model /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807587516.

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6

Mathew, Avin D. "Asset management data warehouse data modelling." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/19310/1/Avin_Mathew_Thesis.pdf.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering

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Mathew, Avin D. "Asset management data warehouse data modelling." Queensland University of Technology, 2008. http://eprints.qut.edu.au/19310/.

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Data are the lifeblood of an organisation, being employed by virtually all business functions within a firm. Data management, therefore, is a critical process in prolonging the life of a company and determining the success of each of an organisation’s business functions. The last decade and a half has seen data warehousing rising in priority within corporate data management as it provides an effective supporting platform for decision support tools. A cross-sectional survey conducted by this research showed that data warehousing is starting to be used within organisations for their engineering

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Moghaddaszadeh, Kermani Mohammad. "Criticality strategic decision making model for maintenance and asset management." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/criticality-based-strategic-decision-making-model-for-maintenance-and-asset-management(913ab341-1c44-480c-875e-77d8e28f037b).html.

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Over the last century, there has been growing interest in changing the approach to maintenance management. The current practice for selecting critical equipment and making a decision on the most appropriate maintenance strategy is perceived to have serious limitations, principally because it lacks decision analysis. Due to the complex nature of decision-making in maintenance management, different models have been developed for selecting critical equipment. However, many of these models considered maintenance management as operational concern and ignored the strategic concerns of maintenance ma

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Venter, Marie. "A teacher’s experience of implementing the asset-based approach to teach Grade 7 learners." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/40451.

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Abstract (sommario):

The purpose of this study was to gain insight into a teacher’s experience in implementing the asset-based approach to teach Life Orientation to a Grade 7 class. More specifically I explored expected and unexpected benefits as well as challenges in relation to the implementation of asset-based teaching. My working assumptions were that both teachers and learners possess assets that may support teaching and learning and that the process of asset-based teaching can support teachers to attend to a variety of needs in one classroom. Nested within the wider positive psychology paradigm I relie

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Kaminska, Karolina. "Applying the RE-AIM Model to Asset-Based Community Health Interventions: A Multiple Case Study in Tower Hamlets, London, UK." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35522.

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Public health policy and practice principally acknowledge a needs-based approach when developing, implementing, and evaluating community health programs. This needs-based perspective receives criticism because it focuses too heavily on what is missing or wrong with communities as opposed to building on their strengths. As a result, community members are perceived as passive recipients, which is disempowering, and ultimately risks creating unsustainable and ineffective programs. In recent years, there has been a growing interest in achieving a balance between the needs-based approach and the as

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Libri sul tema "Asset-based model"

1

Holmstrm̲, Bengt. A liquidity based asset pricing model. Cambridge, Mass: Massachusetts Institute of Technology, 1998.

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Holmström, Bengt. LAPM: A liquidity-based asset pricing model. Cambridge, MA: National Bureau of Economic Research, 1998.

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Holmstrm̲, Bengt. LAPM: A liquidity-based asset pricing model. Cambridge, Mass: MIT, Dept. of Economics, 2000.

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4

Chen, Xiaohong. Land of addicts?: An empirical investigation of habit-based asset pricing behavior. Cambridge, MA: National Bureau of Economic Research, 2004.

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5

Campbell, John Y. Explaining the poor performance of consumption-based asset pricing models. Cambridge, MA: National Bureau of Economic Research, 1999.

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6

Cochrane, John H. A cross-sectional test of a production-based asset pricing model. Cambridge, MA: National Bureau of Economic Research, 1992.

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7

Roy, Amlan. Multicountry comparisons of the consumption based capital asset pricing model: Germany, Japan and USA. London: London School of Economics, Financial Markets Group, 1995.

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8

Barr, David. A data-based simulation model of the financial asset decisions of UK, 'other' financial intermediaries. London: Bank of England, Economics Division, 1990.

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9

Heaton, John. The effects of incomplete insurance markets and trading costs in a consumption-based asset pricing model. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1992.

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10

Gorton, Gary. Agency-based asset pricing. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Capitoli di libri sul tema "Asset-based model"

1

Liu, Bin, Zhenglin Liang, Ajith Kumar Parlikad, Min Xie, and Way Kuo. "Condition-Based Maintenance for Systems with Aging and Cumulative Damage Based on Proportional Hazards Model." In Value Based and Intelligent Asset Management, 211–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20704-5_10.

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2

Atiker, Barış, Ertuğrul Süngü, Kutay Tinç, and A. Burçin Gürbüz. "Asset-Based Extended Reality Model for Distance Learning." In Springer Series in Design and Innovation, 375–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65060-5_30.

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Roda, Irene, and Marco Garetti. "Application of a Performance-Driven Total Cost of Ownership (TCO) Evaluation Model for Physical Asset Management." In Value Based and Intelligent Asset Management, 65–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20704-5_3.

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Erguido Ruiz, Asier, Adolfo Crespo Márquez, Eduardo Castellano, and Juan F. Gómez Fernández. "A Dynamic Opportunistic Maintenance Model to Maximize Energy-Based Availability While Reducing the Life Cycle Cost of Wind Farms." In Value Based and Intelligent Asset Management, 259–87. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20704-5_12.

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Wang, Lei, and Güzin Mayzus. "Data Asset Model Construction Based on Naive Bayes Algorithm Technology." In Lecture Notes in Electrical Engineering, 478–85. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4775-9_59.

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Liang, Zhuojie, and Yixian Liu. "Analysis of Risk Asset Model Based on Artificial Intelligence Algorithm." In Lecture Notes in Electrical Engineering, 1220–25. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8052-6_172.

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Drobetz, Wolfgang. "Testing a conditional version of the consumption-based asset pricing model." In Global Stock Markets, 155–208. Wiesbaden: Deutscher Universitätsverlag, 2000. http://dx.doi.org/10.1007/978-3-663-08529-4_5.

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Nastasie, Daniela L., and Andy Koronios. "The diffusion of standard information models in road asset management - A study based on the human-technology-environment model." In Engineering Asset Lifecycle Management, 188–96. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-320-6_22.

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Ponnalagu, Karthikeyan, Nanjangud C. Narendra, and G. R. Gangadharan. "Integrated Asset Analysis Framework for Model-Driven Development of SOA Based Solutions." In Lecture Notes in Computer Science, 257–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31875-7_37.

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Malakhova, Anna Andreevna, Elena Nikolaevna Sochneva, Svetlana Anatolyevna Yarkova, Anastasiya Vladimirovna Yarkova, Olga Valeryevna Starova, Dmitry Ivanovitch Kravtsov, and Dmitry Valeryevitch Zyablikov. "Portfolio Optimization Model for Asset Allocation Problem Based on Alternative Risk Measures." In Artificial Intelligence in Intelligent Systems, 673–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77445-5_61.

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Atti di convegni sul tema "Asset-based model"

1

Zhang, Chi, Lei Yu, Hao Li, Zhechang Chang, and Zhe Chen. "Asset Evaluation Model Based on SVM Algorithm." In 2018 International Conference on Management, Economics, Education and Social Sciences (MEESS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/meess-18.2018.19.

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2

Sheng, Jiliang. "An Asset Pricing Model Based on Compensation Contract." In 2008 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2008. http://dx.doi.org/10.1109/iciii.2008.274.

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Jiliang, Sheng. "Behavioral Asset Pricing Model Based on Regret Theory." In 2012 Fifth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2012. http://dx.doi.org/10.1109/bife.2012.37.

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4

Cavalieri, Salvatore, and Marco Salafia. "Predictive Maintenance Model based on Asset Administration Shell." In 23rd International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010389306810688.

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Qin, Yemei, Hui Peng, Yanhui Xi, and Xiaohong Chen. "Multi-asset allocation based on financial market microstructure model." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852931.

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Thabet, Walid, and Jason Lucas. "Using Dynamo for Model-Based Delivery of Facility Asset Data." In Creative Construction Conference 2019. Budapest University of Technology and Economics, 2019. http://dx.doi.org/10.3311/ccc2019-126.

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Hongyan Zhi and Zhongyuan Yang. "Optimization model of credit asset portfolio based on Z-Score." In 2011 International Conference on Management Science and Industrial Engineering (MSIE). IEEE, 2011. http://dx.doi.org/10.1109/msie.2011.5707605.

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Dang, Jing, David Edelman, Ronald Hochreiter, and Anthony Brabazon. "Swarm intelligence-based stochastic programming model for dynamic asset allocation." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586135.

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Wang, Yunmei, Chunlin Si, Fan Xia, and King-Lien Lee. "Knowledge asset-based three-stage model of innovative enterprises evolution." In 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2012. http://dx.doi.org/10.1109/ieem.2012.6837915.

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KEYI, ZHANG. "Multinational Company Registration Country's Control over Overseas Operations——based on Capital Asset Pricing Model." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00100.

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Rapporti di organizzazioni sul tema "Asset-based model"

1

Holmstrom, Bengt, and Jean Tirole. LAPM: A Liquidity-based Asset Pricing Model. Cambridge, MA: National Bureau of Economic Research, August 1998. http://dx.doi.org/10.3386/w6673.

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2

Grossman, Sanford, Angelo Melino, and Robert Shiller. Estimating the Continuous Time Consumption Based Asset Pricing Model. Cambridge, MA: National Bureau of Economic Research, June 1985. http://dx.doi.org/10.3386/w1643.

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3

Cochrane, John. A Cross-Sectional Test of a Production-Based Asset Pricing Model. Cambridge, MA: National Bureau of Economic Research, March 1992. http://dx.doi.org/10.3386/w4025.

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4

Соловйов, В. М., В. В. Соловйова та Д. М. Чабаненко. Динаміка параметрів α-стійкого процесу Леві для розподілів прибутковостей фінансових часових рядів. ФО-П Ткачук О. В., 2014. http://dx.doi.org/10.31812/0564/1336.

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Modem market economy of any country cannot successfully behave without the existence of the effective financial market. In the conditions of growing financial market, it is necessary to use modern risk-management methods, which take non-gaussian distributions into consideration. It is known, that financial and economic time series return’s distributions demonstrate so-called «heavy tails», which interrupts the modeling o f these processes with classical statistical methods. One o f the models, that is able to describe processes with «heavy tails», are the а -stable Levi processes. They can sli

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5

Brock, William, and Blake LeBaron. Liquidity Constraints in Production Based Asset Pricing Models. Cambridge, MA: National Bureau of Economic Research, September 1989. http://dx.doi.org/10.3386/w3107.

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Campbell, John, and John Cochrane. Explaining the Poor Performance of Consumption-Based Asset Pricing Models. Cambridge, MA: National Bureau of Economic Research, July 1999. http://dx.doi.org/10.3386/w7237.

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7

de Miguel Beriain, Iñigo, Aliuska Duardo Sánchez, and José Antonio Castillo Parrilla. What Can We Do with the Data of Deceased People? A Normative Proposal. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64580.

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The health and genetic data of deceased people are a particularly important asset in the field of biomedical research. However, in practice, using them is compli- cated, as the legal framework that should regulate their use has not been fully developed yet. The General Data Protection Regulation (GDPR) is not applicable to such data and the Member States have not been able to agree on an alternative regulation. Recently, normative models have been proposed in an attempt to face this issue. The most well- known of these is posthumous medical data donation (PMDD). This proposal supports an opt-i

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8

Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of

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9

Alt, Jonathan, Willie Brown, George Gallarno, John Richards, Jennifer Olszewski, and Titus Rice. Risk-based prioritization of operational condition assessments : methodology and case study results. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46123.

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Abstract (sommario):

USACE operates, maintains, and manages more than $232 billion of the Nation’s water resource infrastructure. USACE uses the Operational Condition Assessment (OCA) to allocate limited resources to assess condition of this infrastructure in efforts to minimize risks associated with performance degradation. The analysis of risk associated with flood risk management (FRM) assets includes consideration of how each asset contributes to its associated FRM watershed system, understanding the consequences of the asset’s performance degradation, and a determination of the likelihood that the asset will

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10

Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40162.

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Abstract (sommario):

The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes consideri

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