Results 1 to 10 of about 97,401 (113)
Cognitive Imprecision and Small-Stakes Risk Aversion
The Review of Economic Studies, 2018 Observed choices between risky lotteries are difficult to reconcile with expected utility maximization, both because subjects appear to be too risk averse with regard to small gambles for this to be explained by diminishing marginal utility of wealth ...
Michael Woodford, Mel Win Khaw
exaly +3 more sources
Ambiguity Aversion in the Field of Insurance: Insurers’ Attitude to Imprecise and Conflicting Probability Estimates [PDF]
Theory and Decision, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laure Cabantous
exaly +3 more sources
Representing uncertainty and imprecision in machine learning: A survey on belief functions
Journal of King Saud University - Computer and Information SciencesUncertainty and imprecision accompany the world we live in and occur in almost every event. How to better interpret and manage uncertainty and imprecision play a vital role in machine learning (ML).
Sukumar Letchmunan, Zhe Liu
exaly +2 more sources
Robust Portfolio Optimization under Interval-valued Conditional Value-at-Risk (CVaR) Criterion in the Tehran Stock Exchange [PDF]
تحقیقات مالی, 2023 Objective Ever since Harry Markowitz's groundbreaking paper on the mean-variance model was published in 1952, numerous efforts have been dedicated to exploring the applications and advancements of classical models.
Alireza Hamidieh +2 more
doaj +1 more source
Lying aversion and vague communication: An experimental study [PDF]
European Economic Review, 2023 An agent may strategically employ a vague message to mislead an audience's belief about the state of the world, but this may cause the agent to feel guilt or negatively impact how the audience perceives the agent.
Keh-Kuan Sun, Stella Papadokonstantaki
semanticscholar +1 more source
Cognitive Imprecision and Small-Stakes Risk Aversion [PDF]
The Review of Economic Studies, 2020 Abstract Observed choices between risky lotteries are difficult to reconcile with expected utility maximization, both because subjects appear to be too risk averse with regard to small gambles for this to be explained by diminishing marginal utility of wealth, as stressed by Rabin (2000), and because subjects’ responses involve a random ...
Mel Win Khaw, Ziang Li, Michael Woodford
openaire +1 more source
An Empirical Assessment of Characteristics and Optimal Portfolios [PDF]
Review of Asset Pricing Studies, 2021 We implement a dynamically regularized, bootstrapped two-stage out-of-sample parametric portfolio policy to evaluate characteristics’ efficacy in the conditional stock return-generating process in the metric of expected power utility.
Christopher G. Lamoureux, Huacheng Zhang
semanticscholar +1 more source
Do individual attitudes towards imprecision survive in experimental asset markets?
, 2020 In situations where both the magnitude of gains and losses as well as the probability distribution over these realizations is uncertain, imprecision is an inherent feature of decision-making.
C. Huber, Julia Rose
semanticscholar +1 more source
Real options, ambiguity, and dynamic consistency — A technical note
International Journal of Production Economics, 2020 Recent research on real options does not only consider optimal investment decisions under risk, but also under ambiguity. However, most models that allow for ambiguity are generally not dynamically consistent. Examples are, among others, the α -MEU model,
David Schröder
semanticscholar +1 more source
Judgment and Decision Making, 2023 With the wide availability of large language models and generative AI, there are four primary paradigms for human–AI collaboration: human-only, AI-only (ChatGPT-4), augmented human (where a human makes the final decision with AI output as a reference),
Yunhao Zhang, Renée Gosline
semanticscholar +1 more source