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How do individuals make decisions in situations involving risk? How do we instinctually trade off the potential for a gain with the potential for loss?
Most individuals fear losses more than they like gain — we are loss averse — and the choice of reference point shifts our perception of gains and losses.
And individuals find small chances of large payoffs quite attractive, as if magnifying the probabilities of larger outcomes.
When making intuitive decisions, individuals are rarely risk-neutral or consistently risk-averse. Instead, their attitudes may vary from extremely risk-averse to quite risk-seeking, depending on the risk profile.
Specifically, individuals hate losing, which makes them generally risk-averse when trading off gains and losses, but they become risk-seeking when it comes to doubling down to avoid a sure loss or when they have a small chance of a large gain.
When trading off a potential loss with a potential gain, individuals behave as if losses count more than gains.
There are multiple values that a reference point can take. Determining which reference point individuals use is both an art and a science, and an active area of research.
The existing evidence suggests three factors that determine the reference point.
This example also illustrates that reference points can change quite rapidly, and that it is difficult to change the reference points at will.
Of course, it is critical with whom you choose to compare. Olympic bronze medalists are found to be happier than silver medalists, at least in the short run, because the silver compares with the athlete ahead, whereas the bronze compares with the athlete behind.1
Loss aversion and decision weights make us act in a risk-avoiding way in some circumstances and in a risk-seeking way in others. Risk aversion keeps us away from financial disaster. Too much risk aversion, however, also implies that we will not get very far in the long run. For example, once we discover a good business opportunity or a profitable investment strategy, we may avoid doubling down, because increasing the stakes produces apprehension. Keeping their foot on the gas pedal for good opportunities is what differentiates great investors such as Warren Buffet from others.
How about seeking risks? Betting on long shots and buying lottery tickets is fun and exciting, but it is profitable for only a minority of lucky winners. As probability becomes small, the premiums we pay may become very large. And small odds mean the premiums will not be large in absolute terms (e.g., the small cost of a lottery ticket or an overpriced insurance product).
The most worrisome pattern is being risk-seeking for losses of high probability. This induces a tendency to double down when one is “in the hole” and can easily snowball into larger losses. The following are some examples of the escalation of commitment created by the tendency to take risks to escape a sure loss:
Notice that our risk-seeking attitude for losses may drag us into a chain of mistakes. Instead of acknowledging a failure, we double down, and the problem gets bigger and bigger until it erodes our own wealth and that of others involved. Before entering into a venture, a good idea may be to set limits to your losses in advance and find some way to commit to this pre-established exiting rule. For example, give instructions to your broker to sell when a given stock reaches a certain loss level.
Or, to say it another way: If you go hiking, set a turnaround time.
Individuals are rarely risk-neutral or consistently risk-averse. Instead, their risk attitudes can vary quite a bit depending on what they perceive to be a gain or a loss relative to a reference point, and on whether the situation involves small or large probabilities.
Prospect theory is a framework that organizes these observations, and it consists of three effects:
The preceding is drawn from the technical note Behavioral Risk Preferences (Darden Business Publishing) by Manel Baucells.
Baucells researches the incorporation of psychological realism into consumer behavior models, focusing on factors like anticipation, reference point comparison, mental accounting, psychological distance and satiation. He is an expert in consumer behavior, decision analysis and game theory.
Prior to his time at Darden, Baucells taught at IESE Business School and the University Pompeu Fabra in Barcelona, as well as served as senior economist at the Rand Corporation in California. He is co-author of the book Engineering Happiness, which applies principles of behavioral economics to happiness, and which was honored with the Decision Analysis Society Publication Award in 2014.
M.S., Universitat Politècnica de Catalunya; MBA, IESE Business School; Ph.D., UCLA Anderson School of Management
Understanding Decision-Making: Inherent Risk Preferences
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