PowerPoint Slides 11-Behavioral Corporate Finance
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FIN 468: Intermediate Corporate Finance
Topic 11–Behavioral Corporate Finance Larry Schrenk, Instructor 1 (of 22)
Topics
Foundations of Behavioral Finance
Anomalies and Applications to Corporate Finance
A Cautionary Note
In my Opinion–but Not Necessarily in the Opinion of my Colleagues in Finance. 1.
There is good evidence for the empirical examples I will present.
2.
The theoretical explanations are more speculative, and almost every claim in these areas is controversial. 3 (of 70)
Foundations of Behavioral Finance
Three Areas of Study Anomalies▪
Evolutionary Psychology
Neuroeconomics▪
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1. Anomalies
Deviations from Classical Economic Behavior
‘Irrationalities’
Only Relevant if Systematic
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Anomaly Example
Framing 'Asian Disease' Experiment
Given an outbreak of the Asian disease, and 600 people who are going to die, which plan should be implemented? Plan A or Plan B?
Same Choice, but Two Alternate Frames
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Frame 1–’Life’ Language
Plan A
200 people are saved.
Plan B
33% chance that all will be saved 67% chance that none of them will be saved
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Frame 2–’Death’ Language
Plan A
400 people die.
Plan B
33% chance that all will be saved 67% chance that all will die.
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Results
Frame 1–Life Language
A B
72% 28%
Certain Choice Risky Choice
Frame 2–Death Language
A B
22% 78%
Certain Choice Risky Choice
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2. Evolutionary Psychology
Reasoning
Human Organs Evolve in Response to Environment
Brain is a Human Organ
Our Brian has Evolved in Response to Environment encountered during Human Evolution 11 (of 70)
Evolutionary Psychology
Traditional Brain View
Tabula Rasa–’Blank Slate’ Flexible; Open to Any Programming
Evolutionary Psychology (one version)
Modular Brain Neural circuits designed for problems faced during our evolutionary history. Question of Universality
Domain-Specificity vs. Domain-Generality 12 (of 70)
Evolutionary Psychology
When Did the Brain Evolve?
Pleistocene Period
Human Evolution
1.8M to 10,000 years ago Homo erectus 1.6M years ago Homo sapiens 200,000 years ago Permanent Human Settlements 10,000 years ago
Hunter-Gatherer Societies for 99% of Human Development 13 (of 70)
Evolutionary Psychology
Possible Evolution 10,000 to present
Lactose Intolerance Example
Future Evolution
Time Scale
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Evolutionary Psychology
Roughly phrased…
We are using hunter-gatherer modules to confront 21st century problems, or
Our modern skulls house a stone age mind. 15 (of 70)
Evolutionary Psychology Examples
Evolved Fear-Learning Psychology
Data: While spiders and snakes kill far less than guns, people nonetheless learn to fear spiders and snakes about as easily as they do a pointed gun, and more easily than an unpointed gun, rabbits or flowers. Explanation: Spiders and snakes were a threat to human ancestors throughout the Pleistocene, whereas guns (and rabbits and flowers) were not.
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Evolutionary Psychology Examples
Hunting Hypothesis and Human Coalitions
Mating Behavior
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3. Neuroeconomics
Study of how the brain functions when making decisions. Neuroimaging, e.g., fMRI, PET Scans
Imaging brain activity to infer how the brain works. Issues
Automatic versus Controlled Processes Emotions 18 (of 70)
Neuroeconomics
fMRI
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Neuroeconomics
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Neuroeconomics and Framing
“Activity in the frontal and parietal cortices suggests that working memory and imagery mechanisms are involved differentially in choosing risky versus sure options” “fMRI results indicate that the certain choice is considerably less costly (in terms of cognitive effort) than the risky one when individuals choose among options framed as gains.” “Since [in negatively framed questions] participants chose the risky option more often than the certain option in response to such problems, our results suggest that people are more willing to accept a computational rather than an emotional cost,
Gonzalez, et al. “The Framing Effect and Risky Decisions: Examining Cognitive Functions with fMRI.” (2005)
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Neuroeconomics and Framing
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Automatic versus Controlled Processes
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Anomalies
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The Anomalies 1. 2. 3.
4. 5. 6.
7. 8.
Excessive Optimism Overconfidence Confirmation Bias Illusion of Control Representativeness Availability Anchoring Framing 25 (of 70)
Excessive Optimism
People overestimate favorable and underestimate unfavorable outcomes.
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Excessive Optimism Examples
Most people display unrealistically rosy views of their abilities and prospects. Typically, over 90% of those surveyed think they are above average in such domains as driving skill, ability to get along with people and sense of humor. They predict that tasks (such as writing survey papers) will be completed much sooner than they actually are. 27 (of 70)
Excessive Optimism and Corporate Finance
Managerial overconfidence and optimism lead to overinvestment. Foreign exchange companies are more optimistic about how exchange rate moves will affect their firm than how they will affect others. Delayed cost cutting. Stock bubbles 28 (of 70)
Overconfidence
People are overconfident in their abilities and knowledge.
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Overconfidence Examples
Confidence intervals people assign to their estimates of quantities–the level of the Dow in a year, say–are far too narrow. Their 98% confidence intervals, for example, include the true quant. People poorly estimate probabilities:
Events they think are certain to occur actually occur only around 80% of the time, and Events they deem impossible occur approximately 20% of the time. 30 (of 70)
Overconfidence Examples
Expertise, too, is often a hindrance rather than a help Experts, armed with their sophisticated models, have been found to exhibit more overconfidence than laymen, particularly when they receive only limited feedback about their predictions.
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Overconfidence and Corporate Finance
Research shows that professionals from many fields exhibit overconfidence in their judgments, including investment bankers, engineers, entrepreneurs, lawyers, negotiators, and managers. Overconfidence can lead to investment distortions, predominantly overinvestment. Economic overconfidence, e.g., forecasting business cycles. 32 (of 70)
Confirmation Bias
People put too much confidence in information that supports their own view.
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Confirmation Bias Examples
People are reluctant to search for evidence that contradicts their beliefs. Even if they find such evidence, they treat it with excessive skepticism. Some studies have found an effect whereby people misinterpret evidence that goes against their hypothesis as actually being in their favor.
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Confirmation Bias and Corporate Finance
"Investors tend to seek out information that supports their existing point of view while avoiding information that contradicts their opinion.” (Rappaport and Mauboussin, 2001) Many executives of companies, cocooned in their own little worlds and rarely receiving negative feedback, develop their own intransigent views that are impervious to disconfirming evidence. 35 (of 70)
Illusion of Control
People overestimate their ability to control events.
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Illusion of Control Examples
Being in control makes us feel happy. The absence of control produces withdrawal and depression. In a 1975 study Yale University students were asked to predict the results of coin tosses
A significant number of presumably intelligent Yalies believed their performance could improve through practice, and would have been hampered if they’d been distracted. 37 (of 70)
Illusion of Control and Corporate Finance
Managers tend to overestimate their ability to lead a project to success.
Online Traders
Excessive belief in the control of risk.
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Representativeness
People make decisions based on stereotypes or typical/representative examples.
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Representativeness Examples
Description: Linda is 31 years old, single, outspoken, and very bright. She majored in philosophy. As a student, she was deeply concerned with issues of discrimination and social justice, and also participated in antinuclear demonstrations. Which is more likely: “Linda is a bank teller” or “Linda is a bank teller and is active in the feminist movement” 40 (of 70)
Representativeness and Corporate Finance
Gambler's Fallacy: If a quarter lands on heads five times, a person incorrectly believes that the probability tails increases. It may give too much emphasis to the similarities between events (or samples), but not to the probability that they will occur. Representativeness may reduce the importance of variables that are critical in determining the event's probability. 41 (of 70)
Availability
People put too much confidence in information that is available and more easily understood.
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Availability Examples
When judging the probability of an event people often search their memories for relevant information. More recent events and more salient events will weigh more heavily and distort the estimate.
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Availability and Corporate Finance
Availability causes us to frequently misread probabilities, and get into investment difficulties as a result. Saliency and emotional events can dominate decision-making in the stock market. The tendency of recent and salient events to move people away from the base-rate or long-term probabilities cannot be exaggerated. 44 (of 70)
Anchoring
People use an initial value in making an estimation, but do not adjust it sufficiently or use an irrelevant number.
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Anchoring Example
Take the last three numbers of your Social Security number and add 400. Now answer this question…
Attila and the Huns invaded Europe and penetrated deep into what is now France where they were defeated and forced to return eastward. In what year did Attila’s defeat occur?
Anchoring Example Correct Answer: 451 AD Experiment Results:
Anchor 400-599 600-799 800-999 1000-1199 1200-1399
Mean 626 660 789 865 988
The artificial and irrelevant calculation affects the estimate!
Anchoring and Corporate Finance
Some investors invest in the stocks of companies that have fallen considerably in a very short amount of time anchoring on a recent "high" that the stock has achieve. Many time investors will cling to an investment waiting for it to "break even," to get back to what they paid for it. Securities get anchored on their own estimates of a earnings or on last year's earnings.
Framing
People allow the way a problem is described to influence their decision. Such effects are powerful. There are numerous demonstrations of a 30 to 40% shift in preferences depending on the wording of a problem.
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Framing Examples
Asian Flue (above) Suppose that you have flipped a coin five times but you don’t yet know your wins and losses. Would you play the gamble a sixth time?
60% don’t suggesting that some subjects are framing the sixth gamble narrowly, segregating it from the other gambles.
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Framing and Corporate Finance
Investments decisions are considered individually rather than in a broader framework. Investors care about annual changes in financial wealth even if they have longer investment horizons.
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