9.5 Behavioral Finance Intro Flashcards
The field of behavioral finance
seeks to understand the behavioral biases that arise when people make investment decisions and design strategies to mitigate them.
There are two types of behavioral biases:
Cognitive errors: Due to faulty cognitive reasoning
–> can be corrected through better information and education
Emotional biases: Due to feelings or emotions
–> harder to detect and correct because they normally arise from intuitions on a subconscious level.
Cognitive Errors
Belief perseverance biases
Processing errors
Belief perseverance biases
Conservatism bias
Confirmation bias
Representativeness bias
Illusion of control bias
Hindsight bias
Processing errors
Anchoring and adjustment bias
Mental accounting bias
Framing bias
Availability bias
Emotional Biases
Loss-aversion bias
Overconfidence bias
Self-control bias
Status quo bias
Endowment bias
Regret-aversion bias
Belief perseverance definition
An individual may cling to their initially held beliefs and refuse to accept new information.
The mental discomfort that arises when new information conflicts with the initial beliefs is known as cognitive dissonance.
Processing errors definition
Information may not be processed rationally when making financial decisions.
Conservatism bias
occurs when people fail to incorporate new information that conflicts with their prior opinions.
From the Bayesian perspective, these people tend to overweight their prior probability of an event and do not react adequately to the new information.
Consequences of Conservatism Bias
Investment view and forecasts are not updated in time.
Complex data is not utilized appropriately to update prior beliefs.
Confirmation bias
occurs when people seek “evidence” that confirms their prior beliefs and ignore those that contradict them
An investor who is subject to confirmation bias may insist on holding a certain investment and only use research that supports their decision.
For example, a portfolio manager who has a long position in a stock may seek reassurance by talking to research analysts who have assigned buy ratings on the stock.
Consequences of Confirmation Bias
Negative information about an existing investment is ignored.
Screening criteria for potential investments may be invalid.
Portfolios are under-diversified as certain investments are inappropriately overweighted.
Investment in the employing company’s stock is overweighted. It is difficult for employees to acknowledge unfavorable information about their employers.
Representativeness bias
occurs when people inappropriately classify new information based on past similar situations.
This will produce a misleading impression about the information especially when each event is inherently unique.
Base-rate neglect
Sample-size neglect
Base-rate neglect
refers to the scenario where the base rate (i.e., the rate of incidence in the large population) is neglected when new information arises.
For example, rising jet fuel costs will reduce the profitability of the entire airline industry, especially for companies with limited power to pass on the higher costs to consumers.
An analyst who conducts diligent research on an individual airline stock may overlook this general information.
Sample-size neglect
refers to the scenario where a small sample is incorrectly assumed to be representative of the population.
For example, a portfolio manager may achieve 20% annual returns for two consecutive years.
However, it would be dangerous to conclude that the manager is able to consistently generate good returns because the sample size is so small.
Consequences of Representativeness Bias
Forecasts are made exclusively based on individual information or a small sample.
Complex data is oversimplified and beliefs are formed using incorrect classifications.
Illusion of control bias
occurs when people overestimate their ability to control events and outcomes.
They tend to believe they can predict the outcomes when the results are in fact completely random.
For example, people think their own lottery numbers have the greatest chance of winning although each number has an equal chance of being drawn.
Consequences of Illusion of Control Bias
Portfolios are under-diversified as investors hold concentrated positions in companies that they believe they have control over.
Portfolio turnover is unnecessarily high, incurring excessive taxes and transaction costs.
Financial models are overly complex and filled with minor details. Investors are more inclined to believe their model is comprehensive enough to handle every uncertainty.
Hindsight bias
occurs when people look back at past events and believe they would have been predictable.
For instance, most investors today think there were many red flags in 2008 that indicated a financial crisis was approaching.
However, history shows that most of the investors, including investment professionals, did not realize the problems until it was too late. Recession always appears more obvious in hindsight.
Consequences of Hindsight Bias
The degree of correct predictions is overestimated, resulting in overconfidence.
Manager’s performance may not be fairly assessed. Important information may not have been available when the investment decision was made.
Anchoring and adjustment bias
occurs when people rely too much on the initial piece of information (i.e., the “anchor”) in estimating an unknown value. This is closely related to conservatism bias because people tend to adjust their anchors insufficiently when new information emerges.
For example, an analyst may predict a recession and adjust the current stock price of a company by -20%. In this case, the initial price is set as an anchor. A relative estimate that is purely based on this figure may not be comprehensive enough to capture the material changes in market conditions.
Consequences of Anchoring and Adjustment Bias
Adjustments made based on new information may not be adequate.
People tend to stick closely to the original value.
Mental accounting bias
occurs when people put money in separate mental buckets and treat them differently although money is fungible.
These arbitrary classifications are based on the source or use. For example, people tend to spend their lottery money a lot faster than their monthly salary.
They treat the lottery winnings as “free money” that can be spent on discretionary items, although the money from both sources should be fungible.