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After that research was conducted, Davidson (1995) was interested in exploring how the representativeness heuristic and conjunction fallacy in children related to children's stereotyping. Consistent with previous research, children based their responses to problems off of base rates when the problems contained nonstereotypic information or when ...
Loss aversion was also used to support the status quo bias in 1988, [9] and the equity premium puzzle in 1995. [10] In the 2000s, behavioural finance was an area with frequent application of this theory, [11] [12] including on asset prices and individual stock returns. [13] [14]
Amos Nathan Tversky (Hebrew: עמוס טברסקי; March 16, 1937 – June 2, 1996) was an Israeli cognitive and mathematical psychologist and a key figure in the discovery of systematic human cognitive bias and handling of risk. Much of his early work concerned the foundations of measurement.
Behavioral finance [74] is the study of the influence of psychology on the behavior of investors or financial analysts. It assumes that investors are not always rational , have limits to their self-control and are influenced by their own biases . [ 75 ]
By contrast, the price signals in markets are far less subject to individual biases highlighted by the Behavioral Finance programme. Richard Thaler has started a fund based on his research on cognitive biases. In a 2008 report he identified complexity and herd behavior as central to the 2007–2008 financial crisis. [35]
Reference dependence is a central principle in prospect theory and behavioral economics generally. It holds that people evaluate outcomes and express preferences relative to an existing reference point, or status quo. It is related to loss aversion and the endowment effect. [1] [2]
The disposition effect can be minimized by a mental approach called hedonic framing, which refers to a concept in behavioral finance and psychology where people perceive and react differently to gains and losses based on how they are presented or "framed."
The phenomenon of illusory correlation is explained as an availability bias. [8] In the original Tversky and Kahneman (1973) research, three major factors that are discussed are the frequency of repetition, frequency of co-occurrence, and illusory correlation. The use of frequency of repetition aids in the retrieval of relevant instances.