Which heuristics can aid financial-decision-making?

© 2015 Elsevier Inc. We evaluate the contribution of Nobel Prize-winner Daniel Kahneman, often in association with his late co-author Amos Tversky, to the development of our understanding of financial decision-making and the evolution of behavioural finance as a school of thought within Finance. Whilst a general evaluation of the work of Kahneman would be a massive task, we constrain ourselves to a more narrow discussion of his vision of financial-decision making compared to a possible alternative advanced by Gerd Gigerenzer along with numerous co-authors. Both Kahneman and Gigerenzer agree on the centrality of heuristics in decision making. However, for Kahneman heuristics often appear as a fall back when the standard von-Neumann-Morgenstern axioms of rational decision-making do not describe investors' choices. In contrast, for Gigerenzer heuristics are simply a more effective way of evaluating choices in the rich and changing decision making environment investors must face. Gigerenzer challenges Kahneman to move beyond substantiating the presence of heuristics towards a more tangible, testable, description of their use and disposal within the ever changing decision-making environment financial agents inhabit. Here we see the emphasis placed by Gigerenzer on how context and cognition interact to form new schemata for fast and frugal reasoning as offering a productive vein of new research. We illustrate how the interaction between cognition and context already characterises much empirical research and it appears the fast and frugal reasoning perspective of Gigerenzer can provide a framework to enhance our understanding of how financial decisions are made

Symptom Information in Direct-to-Consumer Antidepressant Advertising and College Students\u27 Perception of the Lifetime Risk Depression

While consumers’ health cognition and behavior are likely formed through multiple influences, the current study focused on the effects of exposure to specific content elements in direct-to-consumer advertising. The study revealed that consumers’ exposure to the American Psychiatric Association’s (APA) diagnostic guideline has potential to reduce their perceived lifetime risk of depression and intention to consult a health professional to discuss the health issue. The study further revealed when an antidepressant ad mentioned a long list of symptoms, exposure to the diagnostic guideline reduced risk perception and consultation intention significantly, whereas in the presence of a short list of symptoms, the APA guideline had minimal impact

Subjective probabilities: psychological evidence and economic applications

Real-life decision makers are often forced to estimate the likelihood of uncertain future events. Usually, economists assume that agents behave as though they are fully rational, employing statistical rules to assess probabilities, and that they maximize expected utility. Psychological studies, however, have shown that people tend not to adhere to these rationality postulates. We review three rules of thumb taken from the psychology literature that people have been shown to rely on when assessing the likelihood of uncertain events. We construct a simple model of belief formation that incorporates these rules and present one formal and two illustrative applications in which these psychological phenomena cause deviations from anticipated economic outcomes.Economic conditions ; Prediction (Psychology)

Maps of Bounded Rationality

The work cited by the Nobel committee was done jointly with the late Amos Tversky (1937-1996) during a long and unusually close collaboration. Together, we explored the psychology of intuitive beliefs and choices and examined their bounded rationality. This essay presents a current perspective on the three major topics of our joint work: heuristics of judgment, risky choice, and framing effects. In all three domains we studied intuitions - thoughts and preferences that come to mind quickly and without much reflection. I review the older research and some recent developments in light of two ideas that have become central to social-cognitive psychology in the intervening decades: the notion that thoughts differ in a dimension of accessibility - some come to mind much more easily than others - and the distinction between intuitive and deliberate thought processes.behavioral economics; experimental economics

Book Review

Quantitative Methods in Law represents the efforts of one legal scholar to apply mathematical probability and statistics to the solution of a wide range of legal problems. Michael O. Finkelstein has republished in book form a collection of his articles, beginning with his most famous and most widely cited: the application of mathematical probability to jury discrimination cases. After leading the reader through a series of fascinating applications of statistical problem solving to an impressively wide range of legal situations, the book concludes with the final words of one of the most engaging battles among legal scholars in recent years: the exchange between Michael Finkelstein and Laurence Tribe on the use of Bayes\u27 theorem in a criminal trial to assist the jury in integrating probabilistic evidence with nonnumerical testimony

On Cognitive Preferences and the Plausibility of Rule-based Models

It is conventional wisdom in machine learning and data mining that logical models such as rule sets are more interpretable than other models, and that among such rule-based models, simpler models are more interpretable than more complex ones. In this position paper, we question this latter assumption by focusing on one particular aspect of interpretability, namely the plausibility of models. Roughly speaking, we equate the plausibility of a model with the likeliness that a user accepts it as an explanation for a prediction. In particular, we argue that, all other things being equal, longer explanations may be more convincing than shorter ones, and that the predominant bias for shorter models, which is typically necessary for learning powerful discriminative models, may not be suitable when it comes to user acceptance of the learned models. To that end, we first recapitulate evidence for and against this postulate, and then report the results of an evaluation in a crowd-sourcing study based on about 3.000 judgments. The results do not reveal a strong preference for simple rules, whereas we can observe a weak preference for longer rules in some domains. We then relate these results to well-known cognitive biases such as the conjunction fallacy, the representative heuristic, or the recogition heuristic, and investigate their relation to rule length and plausibility.Comment: V4: Another rewrite of section on interpretability to clarify focus on plausibility and relation to interpretability, comprehensibility, and justifiabilit