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Journal articles on the topic 'Prospect theora'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Bleichrodt, Han, Amit Kothiyal, Drazen Prelec, and Peter P. Wakker. "Compound invariance implies prospect theory for simple prospects." Journal of Mathematical Psychology 57, no. 3-4 (June 2013): 68–77. http://dx.doi.org/10.1016/j.jmp.2013.04.002.

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2

LEVY, HAIM, and MICHAL ORKAN. "ESTIMATING PROSPECT THEORY'S DECISION WEIGHTS WITH STOCHASTIC DOMINANCE: THE SMALL PROBABILITY CASE." Annals of Financial Economics 07, no. 02 (December 2012): 1250006. http://dx.doi.org/10.1142/s2010495212500066.

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When one prospect is certain and the other uncertain, Cumulative Prospect Theory employs the certainty equivalent methodology to estimate Decision Weights (DW). However, DW may be different with two uncertain prospects. In this study, we neutralize the "certainty effect" and propose Stochastic Dominance (SD) to estimate DW for the first time with small probabilities, which is the raison d'être of the employment of DW. Using SD we provide ranges, rather than point estimates, of DW parameters that are consistent with all possible S-shape value functions. Comparing CE and SD implied DW, we find that DW are situation dependent: DW derived with one certain prospect are much different than those derived with two uncertain prospects.

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3

Uzhga-Rebrov, Oleg, and Peter Grabusts. "Cumulative Prospect Theory Version with Fuzzy Values of Outcome Estimates." Risks 9, no. 4 (April 13, 2021): 72. http://dx.doi.org/10.3390/risks9040072.

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Choosing solutions under risk and uncertainty requires the consideration of several factors. One of the main factors in choosing a solution is modeling the decision maker’s attitude to risk. The expected utility theory was the first approach that allowed to correctly model various nuances of the attitude to risk. Further research in this area has led to the emergence of even more effective approaches to solving this problem. Currently, the most developed theory of choice with respect to decisions under risk conditions is the cumulative prospect theory. This paper presents the development history of various extensions of the original expected utility theory, and the analysis of the main properties of the cumulative prospect theory. The main result of this work is a fuzzy version of the prospect theory, which allows handling fuzzy values of the decisions (prospects). The paper presents the theoretical foundations of the proposed version, an illustrative practical example, and conclusions based on the results obtained.

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4

Liu, Aijun, Qiuyun Zhu, Haiyang Liu, Hui Lu, and Sang-Bing Tsai. "A Novel Approach Based on Kano Model, Interval 2-Tuple Linguistic Representation Model, and Prospect Theory for Apperceiving Key Customer Requirements." Mathematical Problems in Engineering 2018 (July 18, 2018): 1–23. http://dx.doi.org/10.1155/2018/8192819.

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The precisely perception of key customer requirements (CRs) is critically important for customer collaborative product innovation (CCPI) design. A novel approach is proposed based on the Kano model, interval 2-tuple linguistic representation model, and prospect theory. First of all, a Kano model is constructed to preliminarily screen the relatively important product function attributes. For the uncertain and vague information of CRs, an interval 2-tuple linguistic representation model is proposed to determine the weight of CRs. Then, the comprehensive prospects value is utilized for sorting the innovative programs based on the prospect theory. Finally, a numerical example is given to verify the scientific and validity of the proposed method.

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5

Chandren, Sitraselvi, and Santhirasegaran Nadarajan. "Relationship between accretive share buyback, EPS forecast and prospect theory." International Journal of Academic Research 5 (October 15, 2013): 318–24. http://dx.doi.org/10.7813/2075-4124.2013/5-5/b.49.

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6

Gu, Jing, Zijian Wang, Zeshui Xu, and Xuezheng Chen. "A DECISION-MAKING FRAMEWORK BASED ON THE PROSPECT THEORY UNDER AN INTUITIONISTIC FUZZY ENVIRONMENT." Technological and Economic Development of Economy 24, no. 6 (December 21, 2018): 2374–96. http://dx.doi.org/10.3846/tede.2018.6981.

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Uncertainty and ambiguity are frequently involved in the decision-making process in our daily life. This paper develops a generalized decision-making framework based on the prospect theory under an intuitionistic fuzzy environment, by closely integrating the prospect theory and the intuitionistic fuzzy sets into our framework. We demonstrate how to compute the intuitionistic fuzzy prospect values as the reference values for decision-making and elaborate a four-step editing phase and a valuation phase with two key functions: the value function and the weighting function. We then conduct experiments to test our decision- making methodology and the key features of our framework. The experimental results show that the shapes of the value function and the weighting function in our framework are in line with those of prospect theory. The methodology proposed in this paper to elicit prospects that are not only under uncertainty but also under ambiguity. We reveal the decision-making behavior pattern through comparing the parameters. People are less risk averse when making decisions under an intuitionistic fuzzy environment than under uncertainty. People still underestimate the probability of the events in our experiment. Further, the choices of participants in the experiments are consistent with the addition and multiplication principles of our framework.

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7

Kim, Mijeong. "The Present and Future Prospects of the University in the On-tact Era." Criticism and Theory Society of Korea 26, no. 2 (June 30, 2021): 31–53. http://dx.doi.org/10.19116/theory.2021.26.2.31.

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8

Redelmeier, Donald A., and Amos Tversky. "On the Framing of Multiple Prospects." Psychological Science 3, no. 3 (May 1992): 191–93. http://dx.doi.org/10.1111/j.1467-9280.1992.tb00025.x.

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We investigated decisions involving multiple independent uncertain prospects. At the extremes, a decision maker may either consider each prospect as a separate event (segregation) or evaluate the overall distribution of outcomes (aggregation). Contrary to choice by segregation, people sometimes reject a single gamble but accept a repeated play. On the other hand, people tend to choose by segregation when a particular gamble is singled out from a larger ensemble. Similarly, physicians make different choices when they evaluate problems on a case-by-case basis than when they consider the broader picture. Peoples' tendency to segregate multiple prospects represents a significant violation of the standard theory of rational choice.

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9

Breuer, Wolfgang, and Marc Gürtler. "Kumulative Prospect Theory." WiSt - Wirtschaftswissenschaftliches Studium 35, no. 6 (2006): 331–34. http://dx.doi.org/10.15358/0340-1650-2006-6-331.

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10

Ryan Homan, Garth, and Gary van Vuuren. "Applied prospect theory: assessing the βs of M&A-intensive firms." Investment Management and Financial Innovations 16, no. 2 (June 14, 2019): 236–48. http://dx.doi.org/10.21511/imfi.16(2).2019.20.

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Behavioral components of Kahneman and Tversky’s (1979) prospect theory (PT) were applied to derive an adjusted Capital Asset Pricing Model (CAPM) in the estimation of merger and acquisition-intensive firms’ expected returns. The premise was that the CAPM – rooted in expected utility theory – is violated by the behavioral biases identified in prospect theory. Kahneman and Tversky’s prospect theory (1979) has demonstrated that weaknesses abound in the viability of classical utility theory predictions. For mergers and acquisitions, firms appear to be isolated from and immune to human error, yet decisions which involve the undertaking of capital-intensive projects are delegated to senior management. These individuals are prone to cognitive biases and personalized risk appetites that may (and often do) compromize attitudes and behavior when it comes to pricing risky ventures. Having established that beta estimates using linear regression are inferior, the CAPM was implemented utilizing beta estimates obtained from the Kalman filter. The results obtained were assessed for their long-term market price predictive accuracy. The authors test the reliability of the CAPM as a predictor of price, observe the rationality of human behavior in capital markets, and attempt to model premiums to adjust CAPM returns to a level that more appropriately accounts for firm specific risk. The researchers show that market participants behave irrationally when assessing M&amp;A firms’ specific risk. Logistic regression coupled with the development of a risk premium was implemented to correct the original Kalman filter returns and was tested for improvements in predictive power.

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11

Niiniluoto, Ilkka. "Unification and Abductive Confirmation." THEORIA. An International Journal for Theory, History and Foundations of Science 31, no. 1 (February 17, 2016): 107–23. http://dx.doi.org/10.1387/theoria.13084.

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According to the traditional requirement, formulated by William Whewell in his account of the “consilience of inductions” in 1840, a scientific hypothesis should have unifying power in the sense that it explains and predicts several mutually independent phenomena. Variants of this notion of consilience or unification include deductive, inductive, and approximate systematization. Inference from surprising phenomena to their theoretical explanations was called abduction by Charles Peirce. As a unifying theory is independently testable by new kinds of phenomena, it should also receive confirmation from its empirical success. The study of the prospects of probabilistic Bayesianism to motivate this kind of criterion for abductive confirmation is shown to lead to two quite distinct conceptions of unification.

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12

Steiner, Jakub, and Colin Stewart. "Perceiving Prospects Properly." American Economic Review 106, no. 7 (July 1, 2016): 1601–31. http://dx.doi.org/10.1257/aer.20141141.

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When an agent chooses between prospects, noise in information processing generates an effect akin to the winner's curse. Statistically unbiased perception systematically overvalues the chosen action because it fails to account for the possibility that noise is responsible for making the preferred action appear to be optimal. The optimal perception pattern exhibits a key feature of prospect theory, namely, overweighting of small probability events (and corresponding underweighting of high probability events). This bias arises to correct for the winner's curse effect. (JEL D11, D81, D82, D83)

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13

Sambrotta, Mirco. "Scientific Models and Metalinguistic Negotiation." THEORIA. An International Journal for Theory, History and Foundations of Science 34, no. 2 (September 25, 2019): 277. http://dx.doi.org/10.1387/theoria.18298.

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The aim of this paper is to explore the possibility that, at least, some metaphysical debates are ‘metalinguistic negotiations’ (to employ a recent term coined by David Plunkett and Timothy Sundell). I will take the dispute between the dominant approaches of realism and the anti-realism ones (especially Fictionalism) about the ontological status of scientific models as a case-study. I will argue that such a debate may be better understood as a disagreement, at bottom normatively, motivated, insofar as a normative and non-factual question may be involved in it: how the relevant piece of language ought to be used. Even though I will generally assess the prospects for a broadly deflationist approach, I shall outline a sense in which the dispute can be recast as ‘minimally substantive’.

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14

Bermúdez, José Luis, and Arnon Cahen. "Fodor on multiple realizability and nonreductive physicalism: Why the argument does not work." THEORIA. An International Journal for Theory, History and Foundations of Science 35, no. 1 (February 26, 2020): 59. http://dx.doi.org/10.1387/theoria.20772.

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This paper assesses Fodor’s well-known argument from multiple realizability to nonreductive physicalism. Recent work has brought out that the empirical case for cross-species multiple realizability is weak at best and so we consider whether the argument can be rebooted using a “thin” notion of intra-species multiple realizability, taking individual neural firing patterns to be the realizers of mental events. We agree that there are no prospects for reducing mental events to individual neural firing patterns. But there are more plausible candidates for the neural realizers of mental events out there, namely, global neural properties such as the average firing rates of neural populations, or the local field potential. The problem for Fodor’s argument is that those global neural properties point towards reductive versions of physicalism.

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15

J. Adriaenssen, Daniel, and Jon-Arild Johannessen. "Prospect theory as an explanation for resistance to organizational change: some management implications." Problems and Perspectives in Management 14, no. 2 (May 11, 2016): 84–92. http://dx.doi.org/10.21511/ppm.14(2).2016.09.

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The problem in organizational change projects is that people often resist organizational change. Many change projects in organizations do not reach their goals. The question is why? This paper investigates how prospect theory can be used to explain people’s resistance to organizational change. Prospect theory is based on research from Kahneman and Tversky. If we know why people resist organizational change, we as leaders can do something to promote the change project. The objective of this article is to advise managers and leaders on ways of reducing resistance to organizational change. The authors identify seven propositions that explain how managerial strategies reduce organizational change. They recommend seven measures that may be employed by management to obtain support for projects implementing organizational change

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16

NARUKAWA, Yasuo. "Nonlinear Utility Theory/Cumurative Prospect Theory." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 16, no. 4 (2004): 296–302. http://dx.doi.org/10.3156/jsoft.16.296.

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17

Trautmann, Stefan T., and Gijs van de Kuilen. "Prospect theory or construal level theory?" Acta Psychologica 139, no. 1 (January 2012): 254–60. http://dx.doi.org/10.1016/j.actpsy.2011.08.006.

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18

Lobel, Robert Eugene, Marcelo Cabus Klotzle, Paulo Vitor Jordão da Gama Silva, and Antonio Carlos Figueiredo Pinto. "Teoria do Prospecto: fatores determinantes nas preferências ao risco no Brasil." RACE - Revista de Administração, Contabilidade e Economia 17, no. 2 (August 28, 2018): 535–66. http://dx.doi.org/10.18593/race.v17i2.16107.

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Resumo: A preferência ao risco é um fator importante que influencia uma ampla gama de decisões financeiras pessoais (SNELBECKER; ROSZKOWSKI; CUTLER, 1990) e é definida como a quantidade máxima de incerteza que alguém está disposto a aceitar ao tomar uma decisão financeira ou a disposição de se envolver em comportamentos cujos resultados são incertos com possibilidade de se ter um resultado negativo identificável (IRWIN, 1993). Nesse contexto, a Teoria do Prospecto surge como um modelo alternativo descritivo de escolha sob incerteza. Tendo em vista a importância crescente da influência de aspectos comportamentais no ambiente financeiro, neste estudo buscou-se analisar as preferências ao risco no Brasil seguindo os preceitos da Teoria do Prospecto. Para tal, por meio de questionários de loterias (utilizadas no estudo de RIEGER; WANG; HENS, 2011), foram estimados para uma amostra de estudantes e profissionais, os parâmetros das funções valor (com inclusão da função logarítmica modificada) e peso, supondo diversas formas funcionais, para então associar esses parâmetros a determinadas variáveis sociodemográficas. Não foram encontrados estudos precedentes com o objetivo de realizar essa análise no Brasil, sendo que com base na literatura revisada, pôde-se perceber similaridades e divergências. A análise por gênero, estado civil, faixa etária e renda mostra relativas similaridades com outros estudos em países desenvolvidos e em desenvolvimento. Entretanto, o nível educacional mostra resultados contrários ao esperado e a análise por profissão chega a resultados inconclusivos.Palavras-chave: Finanças comportamentais. Teoria do Prospecto. Função valor. Função peso. Brasil. Prospect Theory: determinant factors in risk preferences in Brazil Abstract: Risk preference is an important factor that influence a wide range of personal financial decisions (SNELBECKER; ROSZKOWSKI; CUTLER, 1990) and is defined as the maximum amount of uncertainty that someone is willing to accept when making a financial decision or the disposition of to be involved in behaviors whose results are uncertain with the possibility of having an identifiable negative result (IRWIN, 1993). In this context, the Prospect Theory emerges like a descriptive alternative model of choice under uncertainty. Given the increasing importance of the influence of behavioral aspects in the financial environment, this study sought to analyze the risk preferences in Brazil following the precepts of the Prospect Theory. To this end, with lottery questionnaires (used in the study by RIEGER; WANG; HENS, 2011), were estimated for a sample of students and professionals, parameters of value (with inclusion of the modified logarithmic function) and weight functions assuming various functional forms, and then associate these parameters to certain socio-demographic variables. No previous studies were found in order to perform this analysis in Brazil, and based on the literature reviewed, we could realize some similarities and differences. Analysis by gender, marital status, age and income shows similarities with other studies in developed and developing countries. However, the educational level shows results contrary to expected and the analysis by profession comes to inconclusive results.Keywords: Behavioral finance. Prospect Theory. Value function. Weight function. Brazil.

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19

Bromiley, Philip. "Looking at prospect theory." Strategic Management Journal 31, no. 12 (August 28, 2010): 1357–70. http://dx.doi.org/10.1002/smj.885.

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20

Happich, M., and B. Mazurek. "Priorities and Prospect Theory." European Journal of Health Economics 3, no. 1 (March 2002): 40–46. http://dx.doi.org/10.1007/s10198-001-0089-y.

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21

Schmidt, Ulrich, Chris Starmer, and Robert Sugden. "Third-generation prospect theory." Journal of Risk and Uncertainty 36, no. 3 (May 14, 2008): 203–23. http://dx.doi.org/10.1007/s11166-008-9040-2.

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22

Abdulxakimov, Zuxrali Tursunalievich, and Shoxida Kamoliddin Kizi Jurabaeva. "Innovations And Their Current Prospects For Practice." American Journal of Interdisciplinary Innovations and Research 03, no. 04 (April 30, 2021): 120–24. http://dx.doi.org/10.37547/tajiir/volume03issue04-19.

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This article provides a clear direction of innovations used in the world economy, the problems of implementation of innovations in practice, specific proposals for the widespread introduction of innovations, developed scientific recommendations.

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23

Kim,Gui-sung. "Tasks and Prospect of Spiritual Education in the University: Focused on WonKwang University." Theology and Philosophy ll, no. 24 (May 2014): 45–75. http://dx.doi.org/10.16936/theoph..24.201405.45.

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24

Darcy da Silva-Junior, Sady, and Edimara Mezzomo Luciano. "Teoria da Perspectiva e os Riscos Envolvidos no Processo de Tomada de Decisão: Análise de Conteúdo em Artigos do ProQuest." Future Studies Research Journal: Trends and Strategies 8, no. 1 (April 1, 2016): 60–89. http://dx.doi.org/10.7444/future.v8i1.224.

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25

Pyastolov, S. "Prospects of the Theory of Prospects." Voprosy Ekonomiki, no. 12 (December 20, 2007): 43–59. http://dx.doi.org/10.32609/0042-8736-2007-12-43-59.

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The article offers a version of further development of the prospects theory fundamentals in the aspect of institutional forms creation and development model. D. Kahneman and A. Tverski’s "dimensionality of decisions and judgements" is taken as the starting point of institutional dimension formation. The ontological vector is added to the cognitive one in order to form the space. The mental and physical dichotomy is considered within the Helical Institutional Development Scheme framework.

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26

Azulai, Anna. "Are Grounded Theory and Action Research Compatible? Considerations for Methodological Triangulation." Canadian Journal of Action Research 21, no. 2 (March 27, 2021): 4–24. http://dx.doi.org/10.33524/cjar.v21i2.485.

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This paper explores the prospects of combining Grounded Theory (GT) and Action Research (AR) methodologies to spark further methodological discussion. GT and AR methodologies are sometimes used together in the same study without a discussion of their methodological compatibility. However, different iterations of GT and various forms of AR may inform the level of mutual compatibility. The goal of this conceptual paper is to answer two questions: Which iteration of GT could be more compatible with which form of AR? What benefits and challenges would such a methodological combination pose? The author presents a brief comparative review of GT and AR approaches, commenting on the intriguing complementarities of these methodologies and the benefits of their triangulation in social research. The author concludes that, although the prospect of combining GT and AR is promising, it undeniably requires further scrutiny in the applied research.

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27

Mohapi, PL. "Does prospect theory warrant a paradigm shift in the economics of risk?" South African Journal of Economic and Management Sciences 9, no. 2 (July 10, 2014): 230–43. http://dx.doi.org/10.4102/sajems.v9i2.1149.

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This paper assesses whether a paradigm shift should be made from expected utility framework to prospect theory framework – in the economics of choice under risk. A brief overview of the subject is outlined, starting with expected utility theory and noting its descriptive limitations. Proposed theories to make up for these limitations is also provided. Prospect theory emerged as the most serious challenger to expected utility theory. A review of some descriptive predictions of prospect theory, suggests that there is no scientific reason why expected utility should not be ousted from dominance by prospect theory. The shift to prospect theory however is not without costs. Conceptual complexities and non-universality of application associated with prospect theory should be embraced with the shift while not entirely abandoning expected utility theory.

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28

Shin, Doh Chull. "On the Third Wave of Democratization: A Synthesis and Evaluation of Recent Theory and Research." World Politics 47, no. 1 (October 1994): 135–70. http://dx.doi.org/10.2307/2950681.

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This article synthesizes significant findings of theoretical and empirical research on the third wave of democratization. It addresses a number of central questions. What changes have been taking place in the study of democracy and democratization over the past two decades? How have the concepts of democracy and democratization been redefined for a new generation of scholars oriented to action and advice? What developments in the measurement of the two concepts have been stimulated by the quickening pace of democratization? What has been learned about the dynamics of democratization itself? What mixes of democratic institutions and rules offer the “best” prospect for democratic consolidation? What kinds of strategies and tactics have been prescribed for encouraging democratic reforms in those countries that remain nondemocratic? What are the prospects for the third wave of democratization?

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29

Chung, Do-Bum, Byungil Kim, and Hwasun You. "The Relationship between Management Performance and Risk Preference in ICT Venture Businesses : The Implications based on Prospect Theory." Journal of Korea Technology Innovation Society 24, no. 3 (June 30, 2021): 421–37. http://dx.doi.org/10.35978/jktis.2021.2.24.1.421.

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30

Pan, Ze. "A Review of Prospect Theory." Journal of Human Resource and Sustainability Studies 07, no. 01 (2019): 98–107. http://dx.doi.org/10.4236/jhrss.2019.71007.

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31

Maymin, Philip. "Prospect theory and fat tails." Risk and Decision Analysis 1, no. 3 (2009): 187–95. http://dx.doi.org/10.3233/rda-2009-0016.

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32

Phillips, Peter J., and Gabriela Pohl. "Prospect Theory and Terrorist Choice." Journal of Applied Economics 17, no. 1 (May 1, 2014): 139–60. http://dx.doi.org/10.1016/s1514-0326(14)60006-4.

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33

Feeny, David, and Ken Eng. "A test of prospect theory." International Journal of Technology Assessment in Health Care 21, no. 4 (October 2005): 511–16. http://dx.doi.org/10.1017/s0266462305050713.

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Objectives: Prospect theory (PT) hypothesizes that people judge states relative to a reference point, usually assumed to be their current health. States better than the reference point are valued on a concave portion of the utility function; worse states are valued on a convex portion. Using prospectively collected utility scores, the objective is to test empirically implications of PT.Methods: Osteoarthritis (OA) patients undergoing total hip arthroplasty periodically provided standard gamble scores for three OA hypothetical states describing mild, moderate, and severe OA as well as their subjectively defined current state (SDCS). Our hypothesis was that most patients improved between the pre- and postsurgery assessments. According to PT, scores for hypothetical states previously > SDCS but now < SDCS should be lower at the postsurgery assessment.Results: Fourteen patients met the criteria for testing the hypothesis. Predictions were confirmed for 0 patients; there was no change or mixed results for 6 patients (42.9 percent); and scores moved in the direction opposite to that predicted by PT for 8 patients (57.1 percent).Conclusions: In general, the direction and magnitude of the changes in hypothetical-state scores do not conform to the predictions of PT.

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34

Edwards, Kimberley D. "Prospect theory: A literature review." International Review of Financial Analysis 5, no. 1 (January 1996): 19–38. http://dx.doi.org/10.1016/s1057-5219(96)90004-6.

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35

Rojek, Chris. "Leisure Theory: Retrospect and Prospect." Loisir et Société / Society and Leisure 20, no. 2 (January 1997): 383–400. http://dx.doi.org/10.1080/07053436.1997.10715549.

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36

Mercer, Jonathan. "PROSPECT THEORY AND POLITICAL SCIENCE." Annual Review of Political Science 8, no. 1 (June 15, 2005): 1–21. http://dx.doi.org/10.1146/annurev.polisci.8.082103.104911.

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37

Treadwell, Jonathan R., and Leslie A. Lenert. "Health Values and Prospect Theory." Medical Decision Making 19, no. 3 (August 1999): 344–52. http://dx.doi.org/10.1177/0272989x9901900313.

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38

KIDERA, Hajime. "Tax Reform and Prospect Theory." Annuals of Japanese Political Science Association 65, no. 2 (2014): 2_11–2_40. http://dx.doi.org/10.7218/nenpouseijigaku.65.2_11.

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39

Bretherton, Inge. "Attachment Theory: Retrospect and Prospect." Monographs of the Society for Research in Child Development 50, no. 1/2 (1985): 3. http://dx.doi.org/10.2307/3333824.

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40

Schöttner, Anja. "Auditors’ Liability under Prospect Theory." Kritische Vierteljahresschrift für Gesetzgebung und Rechtswissenschaft 90, no. 1-2 (2007): 215–18. http://dx.doi.org/10.5771/2193-7869-2007-1-2-215.

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41

Butler, Christopher K. "Prospect Theory and Coercive Bargaining." Journal of Conflict Resolution 51, no. 2 (April 2007): 227–50. http://dx.doi.org/10.1177/0022002706297703.

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42

Barberis, N., M. Huang, and T. Santos. "Prospect Theory and Asset Prices." Quarterly Journal of Economics 116, no. 1 (February 1, 2001): 1–53. http://dx.doi.org/10.1162/003355301556310.

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43

Schaub, Gary. "Deterrence, Compellence, and Prospect Theory." Political Psychology 25, no. 3 (June 2004): 389–411. http://dx.doi.org/10.1111/j.1467-9221.2004.00377.x.

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44

Stratmann-Schoene, Diana, and Thomas Klose. "Health Values and Prospect Theory." Medical Decision Making 21, no. 1 (February 2001): 57–59. http://dx.doi.org/10.1177/0272989x0102100107.

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45

Bleichrodt, Han, Ulrich Schmidt, and Horst Zank. "Additive Utility in Prospect Theory." Management Science 55, no. 5 (May 2009): 863–73. http://dx.doi.org/10.1287/mnsc.1080.0978.

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46

Best, Michael J., and Robert R. Grauer. "Prospect theory and portfolio selection." Journal of Behavioral and Experimental Finance 11 (September 2016): 13–17. http://dx.doi.org/10.1016/j.jbef.2016.05.002.

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Yao, Jing, and Duan Li. "Prospect theory and trading patterns." Journal of Banking & Finance 37, no. 8 (August 2013): 2793–805. http://dx.doi.org/10.1016/j.jbankfin.2013.04.001.

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Kyle, Albert S., Hui Ou-Yang, and Wei Xiong. "Prospect theory and liquidation decisions." Journal of Economic Theory 129, no. 1 (July 2006): 273–88. http://dx.doi.org/10.1016/j.jet.2005.02.006.

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Pasquariello, Paolo. "Prospect Theory and market quality." Journal of Economic Theory 149 (January 2014): 276–310. http://dx.doi.org/10.1016/j.jet.2013.09.010.

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Rieger, Marc Oliver, and Mei Wang. "Prospect theory for continuous distributions." Journal of Risk and Uncertainty 36, no. 1 (January 8, 2008): 83–102. http://dx.doi.org/10.1007/s11166-007-9029-2.

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