Relevant bibliographies by topics / Asset-based model

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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 'Asset-based model'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Asset-based model"

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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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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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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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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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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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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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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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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 the investment goal and the market expectations and then evaluating the merits of several investment strategies as well as displaying the steps towards their evaluation in a comprehensible manner. Based on case studies, the results of the pilot model are compared with known good recommendations from an investigation of Stiftung Warentest on the quality of advice in banks.
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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 asymmetric preferences and question the effectiveness of the smooth utility framework, which is traditionally used in consumption-based asset pricing.
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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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Dissertations / Theses on the topic "Asset-based model"

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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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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 as the state of the country’s investments and innovations have been assessed, the survey about the attitude of the Lithuanian population towards the asset-based policy has been conducted, the hypothetical model for the implementation of the asset-based policy in Lithuania has been created.
Disertacijos tyrimo objektas yra turtu pagrįsta politika, kaip skurdo ir nelygybės mažinimo priemonė, besiremianti taupymu, investicijomis ir turto kaupimu. Tyrimo tikslas yra išanalizavus užsienio šalių patirtį, įvertinti turtu pagrįstos politikos taikymo poreikį Lietuvoje bei sukurti hipotetinį tokios politikos įgyvendinimo modelį. Siekiant tyrimo tikslo, disertacijoje yra apžvelgti teoriniai turtu pagrįstos gerovės aspektai, išanalizuoti užsienio šalyse įgyvendinti turtu pagrįstos politikos modeliai, įvertintas socialinės politikos temos išnagrinėjimo lygis Lietuvos autorių mokslo darbuose, išanalizuota gyventojų socialinė-ekonominė, demografinė padėtis bei šalies investicijų ir inovacijų būklė, atliktas empirinis tyrimas apie Lietuvos gyventojų požiūrį į turtu pagrįstą politiką bei suformuotas hipotetinis turtu pagrįstos politikos įgyvendinimo modelis, taikytinas Lietuvoje.
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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 and predict such prices. It tells a story of investors’ trade-off between consumption now and later and which portfolio of assets to hold. The CCAPM based narrative intuitively makes sense, and the chosen methodology involving theoretical assumption, mathematical models and empirical tests follows the professions’ standards of good scientific practise. But does CCAPM’s research programme provide knowledge for use? My thesis seeks to answer this question in a novel way. Instead of embarking on yet another asset pricing research project, I let Philosophy of Science inform my analysis. Following a “primer” introducing essential CCAPM topics and notations, I discuss, in turn, its theoretical foundation, mathematical model, and empirical test results from a philosophy of science perspective. I find that a few fundamental principles and several auxiliary assumptions combine to develop a simplified, partial and idealized theory of investors, financial markets and assets. The model reflects and represents this theory but also makes narrow claims that are distances away from the real situations they target. Unsurprisingly, ideal model assertions fail standard statistical tests of significance. I conclude that mathematical deductive modelling rooted in orthodox, a priori based fundamental principles create ideal and fictional settings that limit their scope and portability. The development of even more granular models within this orthodox paradigm that searches for “event regularities” will not render the desired knowledge for use. The real situations are possibly too complex to be captured in simplified assumptions, ideal theories and mathematical structures. Novel methodological and ontological approaches to asset pricing are in demand. Hence, claims about tendencies in the real data might replace the current focus on point-forecasts.
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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 explicitly model combinations of hypothesised global risks and the effects on their investments. The framework models portfolio return variables and their key risk driver variables separately and then joins them to model their combined dependence structure. The separate modelling of univariate and multivariate (MV) components admits the benefit of capturing the data generating processes with improved accuracy. Univariate variables were modelled using ARMA-GARCH-family structures paired with a variety of skewed and leptokurtic conditional distributions. Model residuals were fit using the Peaks-over-Threshold method from Extreme Value Theory for the tails and a non-parametric, kernel density for the interior, forming a completed semi-parametric distribution (SPD) for each variable. Asset and risk factor returns were then combined and their dependence structure jointly modelled with a MV Student t copula. Finally, the SPD margins and Student t copula were used to construct a MV meta t distribution. Monte Carlo simulations were generated from the fitted MV meta t distribution on which an out-of-sample test was conducted. The 2014-to-2015 horizon served to proxy as an out-of-sample, forward-looking scenario for a set of key risk factors against which a hypothetical, diversified portfolio was optimised. Traditional mean-variance and contemporary mean-CVaR optimisation techniques were used and their results compared. As an addendum, performance over the in-sample 2008 financial crisis was reported. The final Objective (7) addressed management and conservation strategies for the NMBM. The NMBM wetland database that was produced during this research is currently being used by the Municipality and will be added to the latest National Wetland Map. From the database, and tools developed in this research, approximately 90 wetlands have been identified as being highly vulnerable due to anthropogenic and environmental factors (Chapter 6) and should be earmarked as key conservation priority areas. Based on field experience and data collected, this study has also made conservation and rehabilitation recommendations for eight locations. Recommendations are also provided for six more wetland systems (or regions) that should be prioritised for further research, as these systems lack fundamental information on where the threat of anthropogenic activities affecting them is greatest. This study has made a significant contribution to understanding the underlying geomorphological processes in depressions, seeps and wetland flats. The desktop mapping component of this study illustrated the dominance of wetlands in the wetter parts of the Municipality. Perched wetland systems were identified in the field, on shallow bedrock, calcrete or clay. The prevalence of these perches in depressions, seeps and wetland flats also highlighted the importance of rainfall in driving wetland formation, by allowing water to pool on these perches, in the NMBM. These perches are likely to be a key factor in the high number of small, ephemeral wetlands that were observed in the study area, compared to other semi-arid regions. Therefore, this research highlights the value of multi-faceted and multi-scalar wetland research and how similar approaches should be used in future research methods has been highlighted. The approach used, along with the tools/methods developed in this study have facilitated the establishment of priority areas for conservation and management within the NMBM. Furthermore, the research approach has revealed emergent wetland properties that are only apparent when looking at different spatial scales. This research has highlighted the complex biological and geomorphological interactions between wetlands that operate over various spatial and temporal scales. As such, wetland management should occur across a wetland complex, rather than individual sites, to account for these multi-scalar influences.
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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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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 asset management, however the industry uptake is slow and has much room for development and improvement. This conclusion is also evidenced by the lack of systematic scholarly research within asset management data warehousing as compared to data warehousing for other business areas. This research is motivated by the lack of dedicated research into asset management data warehousing and attempts to provide original contributions to the area, focussing on data modelling. Integration is a fundamental characteristic of a data warehouse and facilitates the analysis of data from multiple sources. While several integration models exist for asset management, these only cover select areas of asset management. This research presents a novel conceptual data warehousing data model that integrates the numerous asset management data areas. The comprehensive ethnographic modelling methodology involved a diverse set of inputs (including data model patterns, standards, information system data models, and business process models) that described asset management data. Used as an integrated data source, the conceptual data model was verified by more than 20 experts in asset management and validated against four case studies. A large section of asset management data are stored in a relational format due to the maturity and pervasiveness of relational database management systems. Data warehousing offers the alternative approach of structuring data in a dimensional format, which suggests increased data retrieval speeds in addition to reducing analysis complexity for end users. To investigate the benefits of moving asset management data from a relational to multidimensional format, this research presents an innovative relational vs. multidimensional model evaluation procedure. To undertake an equitable comparison, the compared multidimensional are derived from an asset management relational model and as such, this research presents an original multidimensional modelling derivation methodology for asset management relational models. Multidimensional models were derived from the relational models in the asset management data exchange standard, MIMOSA OSA-EAI. The multidimensional and relational models were compared through a series of queries. It was discovered that multidimensional schemas reduced the data size and subsequently data insertion time, decreased the complexity of query conceptualisation, and improved the query execution performance across a range of query types. To facilitate the quicker uptake of these data warehouse multidimensional models within organisations, an alternate modelling methodology was investigated. This research presents an innovative approach of using a case-based reasoning methodology for data warehouse schema design. Using unique case representation and indexing techniques, the system also uses a business vocabulary repository to augment case searching and adaptation. The system was validated through a case-study where multidimensional schema design speed and accuracy was measured. It was found that the case-based reasoning system provided a marginal benefit, with a greater benefits gained when confronted with more difficult scenarios.
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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 asset management, however the industry uptake is slow and has much room for development and improvement. This conclusion is also evidenced by the lack of systematic scholarly research within asset management data warehousing as compared to data warehousing for other business areas. This research is motivated by the lack of dedicated research into asset management data warehousing and attempts to provide original contributions to the area, focussing on data modelling. Integration is a fundamental characteristic of a data warehouse and facilitates the analysis of data from multiple sources. While several integration models exist for asset management, these only cover select areas of asset management. This research presents a novel conceptual data warehousing data model that integrates the numerous asset management data areas. The comprehensive ethnographic modelling methodology involved a diverse set of inputs (including data model patterns, standards, information system data models, and business process models) that described asset management data. Used as an integrated data source, the conceptual data model was verified by more than 20 experts in asset management and validated against four case studies. A large section of asset management data are stored in a relational format due to the maturity and pervasiveness of relational database management systems. Data warehousing offers the alternative approach of structuring data in a dimensional format, which suggests increased data retrieval speeds in addition to reducing analysis complexity for end users. To investigate the benefits of moving asset management data from a relational to multidimensional format, this research presents an innovative relational vs. multidimensional model evaluation procedure. To undertake an equitable comparison, the compared multidimensional are derived from an asset management relational model and as such, this research presents an original multidimensional modelling derivation methodology for asset management relational models. Multidimensional models were derived from the relational models in the asset management data exchange standard, MIMOSA OSA-EAI. The multidimensional and relational models were compared through a series of queries. It was discovered that multidimensional schemas reduced the data size and subsequently data insertion time, decreased the complexity of query conceptualisation, and improved the query execution performance across a range of query types. To facilitate the quicker uptake of these data warehouse multidimensional models within organisations, an alternate modelling methodology was investigated. This research presents an innovative approach of using a case-based reasoning methodology for data warehouse schema design. Using unique case representation and indexing techniques, the system also uses a business vocabulary repository to augment case searching and adaptation. The system was validated through a case-study where multidimensional schema design speed and accuracy was measured. It was found that the case-based reasoning system provided a marginal benefit, with a greater benefits gained when confronted with more difficult scenarios.
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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 management. This thesis builds upon earlier works on decision-making for selecting critical equipment and maintenance strategy. It sets out to construct three hypotheses by introducing evidence from a comprehensive literature review, case study analysis and in-depth interviews. The thesis focuses on artificial intelligence and multi-criteria decision-making techniques (i.e. Fuzzy Logic and Analytical Hierarchy Process) to bridge this gap. It proposes a strategic decision-making model in maintenance and asset management for selecting critical equipment and deciding on a maintenance strategy. The novelty of model is to propose an approach in which maintenance strategy can be applied based on the equipment criticality while not making a trade-off between safety and cost but rather to combine the concern of safety with financial, operational and technical perspectives. The model provides an opportunity to consider safety as the first priority. The research output suggests that existing criticality assessment methods for optimising maintenance delivery have limited value and are suffering from a lack of strategic decision analysis. Multi-criteria decision-making tools could be used to improve decision-making of criticality assessment methods and hence maintenance strategy implementation. The validity of the proposed strategic decision-making model was tested through case study analysis and in-depth interviews. The results suggest that a strategic decision-making model could have a significant impact on improving safety, reliability and operational availability. The strategic decision-making model would enable asset managers to track the consequences of their decisions whilst dealing with maintenance. It is also an effective tool in the hands of a maintenance department to convince their asset managers to make a maintenance investment.
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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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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 relied on the asset-based approach as theoretical framework. I conducted qualitative research following an instrumental case study research design, applying participatory action research principles. Meta-theoretically I framed the study within Interpretivism in order to obtain an in-depth understanding of the phenomenon under investigation. One Grade 7 teacher was selected as participant through purposeful sampling. A government primary school in Pretoria was selected conveniently. I used semi-structured interviews, analysis of existing documents and artefacts, and observation to collect data, that were documented in the form of verbatim transcripts, photographs, field notes and a research journal. Following thematic data analysis three main themes emerged related to the process of asset-based teaching, positive changes of assetbased teaching, and challenges associated with asset-based teaching. In identifying assets within the classroom (Theme 1), the teacher in this study became aware of both the learners’ and her own assets that could be mobilised to support teaching and learning. Assets identified within the different systems of the bio-ecological model and own action plan were used to support the mobilisation of assets. Ownership and commitment formed an essential part of the phase of managing assets. Positive changes that were identified subsequent to implementing asset-based teaching (Theme 2) relate to increased confidence and self-knowledge of learners and the teacher, identification of assets, enablement in the classroom, recognising the value of reflection in teaching, focusing away from learners’ needs towards their assets and strengths, increased motivation and trust amongst learners, a decrease in behaviour difficulties, and learners working more independently. Challenges that were identified in implementing asset-based teaching (Theme 3) include an increased workload and responsibility in teaching, difficulty to focus away from needs to strengths, lack of sustainability of positive changes, behaviour challenges, limited understanding of asset-based terminology, difficulty to integrate asset-based teaching into the curriculum of various learning areas, high teacher-learner ratios, socio-economic challenges, the needs-based orientation of society, and limited support to learners from home. Based on the findings of the study I conclude that asset-based teaching can be viewed as a suitable alternative way of teaching, following the dynamic process of identifying, mobilising and managing assets. In this manner, the diverse needs of learners may be addressed in one classroom. In addition the study indicates that asset-based teaching may support adolescents in dealing with developmental changes. # Additional information of the Appendices are kept on Level 3 Merensky Library.
Dissertation (MEd)--University of Pretoria, 2013.
gm2014
Educational Psychology
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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 asset-based approach, which accentuates positive capabilities. While the amount of literature discussing the benefits of this latter perspective has grown substantially, accompanying evaluation required to sustain continued investment has been limited. Compared to needs-based research, there is less literature on asset-based evaluation. Emphasis on such research could contribute to the progression of evaluation methodologies and theories, ultimately encouraging their use. The purpose of this study is to apply an existing public health evaluation framework – the RE-AIM model (Glasgow, Vogt, and Boles, 1999) – to asset-based community health interventions and to examine the utility of such an evaluation structure across a variety of asset-based health projects. A multiple case study design facilitated comparison of the applicability of the RE-AIM model dimensions – Reach, Effectiveness, Adoption, Implementation, and Maintenance across three cases in the East London borough of Tower Hamlets, United Kingdom. These included the Local Links Asset-mapping project, the Healthy Early Years Project, and the Good Moves project. The RE-AIM framework is additionally guided by principles of the Realist Evaluation approach (Pawson and Tilley, 1997). This research study contributes to asset-based research by providing a guideline and conceptual framework to support asset-based intervention evaluation theory and practice.
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Books on the topic "Asset-based model"

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

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Book chapters on the topic "Asset-based model"

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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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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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Conference papers on the topic "Asset-based model"

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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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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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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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Reports on the topic "Asset-based model"

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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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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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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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Соловйов, В. М., В. В. Соловйова, and 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 slightly simulate the dynamics of the asset prices, because it consists o f two components: the Brownian motion component and jump component. In the current work the usage of model parameters estimation procedure is proposed, which is based on the characteristic functions and is applied for the moving window for the purpose of financial-economic system’ s state monitoring.
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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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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-in donation system of health data for research purposes. In this article, we argue that PMDD is not a useful model for addressing the issue at hand, as it does not consider that some of these data (the genetic data) may be the personal data of the living relatives of the deceased. Furthermore, we find the reasons supporting an opt-in model less convincing than those that vouch for alternative systems. Indeed, we propose a normative framework that is based on the opt-out system for non-personal data combined with the application of the GDPR to the relatives’ personal data.
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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 the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided.
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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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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 perform as expected given the current OCA condition ratings of critical components. This research demonstrates a proof-of-concept application of a scalable methodology to model the probability of a dam performing as expected given the state of its gates and their components. The team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop a risk measure. The resulting risk scores serve as an input for a mixed-integer optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. This report documents the results of the application of this methodology to two case studies.
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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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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 considering how the facility contributes to its associated FRM watershed system, understanding the consequences of degradation in the facility’s performance, and calculating the likelihood that the facility will perform as expected given the current OCA condition ratings of critical components. This research will develop a scalable methodology to model the probability of failure of components and systems that contribute to the performance of facilities in their respective FRM systems combined with consequences derived from hydrological models of the watershed to develop facility risk scores. This interim report documents the results of the first phase of this effort, stakeholder analysis and literature review, to identify candidate approaches to determine the probability of failure of a facility.
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