Theory that fear of regret can motivate investment decisions. According to this theory, some individuals may avoid making an investment because they fear they will regret their decision if the value of their investment declines. Other individuals may make an investment because they fear they will regret missing an opportunity if the value of the investment increases.
Related information about regret theory:
- Regret (decision theory) - Wikipedia, the free encyclopedia
Contents. 1 Minimax regret. 1.1 Maximin example. 2 Regret theory; 3 Example: Linear estimation setting; 4 References; 5 See also; 6 External links ...
- Regret Theory Definition | Investopedia
A theory that says people anticipate regret if they make a wrong choice, and take this anticipation into consideration when making decisions. Fear of regret can ...
- Regret Theory
People know that when they make a decision they will feel regret if they make the wrong decision. They thus take this anticipated regret into account when they ...
- Regret Theory: An Alternative Theory of Rational Choice Under - JStor
The Economic Journal, 92 (December I982), 805-824. Printed in Great Britain. REGRET THEORY: AN ALTERNATIVE THEORY. OF RATIONAL CHOICE ...
- Regret Theory: An Alternative Theory of Rational Choice Under ...
Nov 25, 2005 ... Regret Theory: An Alternative Theory of Rational Choice Under. Uncertainty. Graham Loomes; Robert Sugden. The Economic Journal, Vol.
- Regret Theory with General Choice Sets
The regret theory of choice under uncertainty proposed by Loomes and Sugden ... which regret theory is equivalent to other well–known theories of choice under ...
- Regret Theory: An Alternative Theory of Rational ... - Ideas - RePEc
Regret Theory: An Alternative Theory of Rational Choice under Uncertainty. Contents: Author info; Abstract; Bibliographic info; Download info; Related research ...
- A regret theory approach to decision curve analysis - BioMed Central
Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers.