New Concept for the Value Function of Prospect Theory
In the prospect theory, value function is typically concave for gains, commonly convex for losses, with losses usually having a steeper slope than gains. The neural system largely differs from the loss and gains sides. Five new studies on neurons related to this issue have examined neuronal responses to losses, gains, and reference points. This study investigates a new concept of the value function. A value function with a neuronal cusp may show variations and behavior cusps with catastrophe where a trader closes one's position.
Code (0)
등록된 구현이 없습니다.
Tasks
PositionSimilar Papers 제목 키워드 기반
Option Pricing with Greed and Fear Factor: The Rational Finance Approach
We explain the main concepts of Prospect Theory and Cumulative Prospect Theory within the framework of rational dynamic asset pricing theory. We derive option pricing formulas when asset returns are altered with a genera…
A Quantum-like Model of Selection Behavior
In this paper, we introduce a new model of selection behavior under risk that describes an essential cognitive process for comparing values of objects and making a selection decision. This model is constructed by the qua…
modelRisk-Sensitive Reinforcement Learning via Policy Gradient Search
The objective in a traditional reinforcement learning (RL) problem is to find a policy that optimizes the expected value of a performance metric such as the infinite-horizon cumulative discounted or long-run average cost…
Policy Gradient Methodsreinforcement-learningReinforcement LearningReinforcement Learning (RL)Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
Cumulative prospect theory (CPT) is known to model human decisions well, with substantial empirical evidence supporting this claim. CPT works by distorting probabilities and is more general than the classic expected util…
Predictionreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1Optimal Investment with Transaction Costs under Cumulative Prospect Theory in Discrete Time
We study optimal investment problems under the framework of cumulative prospect theory (CPT). A CPT investor makes investment decisions in a single-period financial market with transaction costs. The objective is to seek…