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Studies in behavioral finance analyzed this pattern, observing that there is a tendency to avoid high-reward options in the market, as the risk of short-term loss potentially influences the broker. Acclaimed behavioral economists Benartzi and Thaler analyzed this concept, calling it the "equity premium puzzle [ 2 ] ."
[1] [2] A random sequence of events, symbols or steps often has no order and does not follow an intelligible pattern or combination. Individual random events are, by definition, unpredictable, but if there is a known probability distribution, the frequency of different outcomes over repeated events (or "trials") is predictable.
The black swan theory or theory of black swan events is a metaphor that describes an event that comes as a surprise, has a major effect, and is often inappropriately rationalized after the fact with the benefit of hindsight. The term is based on a Latin expression which presumed that black swans did not exist. The expression was used until ...
The striatum processes the errors in prediction and the behavior changes accordingly. After a win, the positive behavior is reinforced and after a loss, the behavior is conditioned to be avoided. In individuals exhibiting the gambler's fallacy, this choice-outcome contingency method is impaired, and they continue to make risks after a series of ...
Expectancy violations theory (EVT) is a theory of communication that analyzes how individuals respond to unanticipated violations of social norms and expectations. [1] The theory was proposed by Judee K. Burgoon in the late 1970s and continued through the 1980s and 1990s as "nonverbal expectancy violations theory", based on Burgoon's research studying proxemics.
The analytic focus of routine activity theory takes a macro-level view and emphasizes broad-scale shifts in the patterns of victim and offender behavior. It focuses on specific crime events and offender behavior/decisions. Routine activity theory is based on the assumption that crime can be committed by anyone who has the opportunity.
Animals have significantly more predictable behavior than humans. Driven by natural selection, animals develop mating calls, predator warnings, and communicative dances. One example of these engrained behaviors is the Belding's ground squirrel, which developed a specific set of calls that warn nearby squirrels about predators.
A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal dice roll or the digits of π exhibit statistical randomness. [1] Statistical randomness does not necessarily imply "true" randomness, i.e., objective unpredictability.