Your emotions may be getting in the way of building wealth.
In a study published in the Journal of Financial Planning, individuals who leveraged a behavior-modified approach that removed emotion from their investing saw upwards of 23% higher returns over the course of 10 years.
So today we will be exploring 10 behavioral finance concepts to better understand how we can limit our emotion’s role in our investment decisions.
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What is Behavioral Finance?
In order to understand what Behavioral Finance is, we first need to understand Traditional Finance Theory.
Traditional Finance Theory is comprised of three core assumptions:
- Individuals have complete self control
- Individuals understand all available data prior to making decisions
- Individuals are always consistent in their decision making
In a nutshell, Traditional Finance Theory states that individuals consistently make rational decisions solely based on the objective facts that are available.
However, humans are not always rational. In reality:
- We don’t have always self control
- We don’t always have time to understand all the data prior to making a decision
- We are not always consistent with our decisions.
As a result, Behavioral Finance diverges from Traditional Finance Theory by emphasizing the role that psychology plays in individual behavior.
Therefore, Behavioral Finance is the concept that we are vulnerable to making sub-optimal decisions due to a variety of psychological influences that introduce emotion into our decision-making.
In other words, we are capable of making irrational financial decisions 🙂
Why is Behavioral Finance Important?
As we saw earlier, our emotions can have a substantial impact on our ability to build wealth.
By understanding the different psychological responses to our emotions, we can attempt to limit this emotional influence on our financial decision-making.
So let’s now explore 10 behavioral finance concepts that can impact our finances.
10 Behavioral Finance Concepts with Examples
Loss Aversion
Loss Aversion is the idea that there is a greater emotional impact associated with losses versus gains.
Said another way, when given the choice, individuals will prefer avoiding losses vs realizing gains.
As an example, let’s say that we invested in a particular stock.
The concept of loss aversion suggests that we are more willing to sell the stock if it decreased 20% in value as opposed to if it gained 20% in value.
This is despite the fact that buying more of the stock, once it’s value has decreased, will actually lower our average cost of purchase.
Representative Bias
Representative bias is the tendency for individuals to make judgements based around their previous experiences.
As a result, similarity to past experiences will have a greater impact in someone’s mind vs. the actual probability of the event occurring.
As an example, let’s assume that we were one of the lucky few who invested early in Amazon. We would have made some stellar returns.
As a result, this could create a representative bias in our minds that investing in technology companies is the only way get those types of returns.
Furthermore, let’s imagine that we are given the choice between investing in a technology company with mediocre growth and a construction company with great growth.
Representative bias would push our investing preference towards investing in the technology company because of our past investment gains associated with the technology sector.
Overconfidence & Illusion of Control
Overconfidence is the ego-driven belief that individuals overestimate their knowledge on a topic and believe they have an edge over everyone else.
As an example, let’s assume that we decided to trade stocks.
We develop a hot streak that results in some excellent returns. As a result, we may now believe that we have cracked the code to beat the market are in control.
However, this overconfidence and the illusion of control can be dangerous.
Overconfidence leads to us becoming more comfortable with taking on riskier bets – thereby increasing our odds of losing larger amounts of money.
This overconfidence can be avoided by objectively understanding risks of potential investments.
Don’t be like DJ Khaled and think you can win win win no matter what 🙂
Confirmation Bias
Confirmation Bias is the idea that individuals tend to seek information confirming their existing opinions while ignoring information that may be contrary to those beliefs.
Confirmation Bias results in:
- Limiting the data used to make a decision
- Hindering our ability to objectively evaluate the situation
To illustrate an example, I’m going to pick on Tesla.
If we believed that Tesla would make a great investment, then reading an article like “Tesla’s rise made 2020 the year the U.S. auto industry went electric” could confirm our opinion and solidify our decision to purchase Tesla stock.
At the same time, we may be less inclined to read an article such as “Tesla’s Profits Are Not From Selling Cars.”
By only actively choosing to read information focusing on the positives of an investment, we miss the opportunity to analyze potential risks associated with that investment.
While it is difficult to do, we can avoid this bias by making it a priority in understanding the good, the bad, and the ugly of an investment in order to make an objective determination – what are the facts?
Anchoring Bias
Anchoring Bias is the idea that individuals are fixated on particular pieces of information and use that as the reference point for making judgements.
An individual’s decision-making is therefore said to be anchored to these psychological benchmarks.
Let’s assume that a potential investment that we were considering hits an all time high.
At this point, we may not want to invest because we are now “buying at the top.”
In this case, we are anchored to that current all-time high price and now have a fear (loss aversion) that investing at that price will guarantee losing our ass.
This is despite research showing that time in the market beats market timing.
If someone were to have believed the market was over priced back in 2010, they would have missed out on some amazing returns.
Herding Mentality
Herding Mentality is the concept that individuals in a group will tend to follow the actions of others vs making their own decisions.
My favorite example of herding mentality was the recent r/WallStreetBets Game Stop short squeeze.
The meteoric rise in Game Stop’s stock price from $2.57 to $483.00 wasn’t based on changes in the company’s fundamentals.
Instead, it was the result of a bunch of folks from Reddit banding together to send Game Stop “to the moon!”
Framing
Framing is the idea that individuals are influenced by the context surrounding the options available.
In other words, how something is presented – positively or negatively – can have a drastic impact on an individual’s decision.
Imagine that I showed you this unnamed stock’s price history.
Looks like a great investment right?
However, I cherry-picked the time frame to show the Game Stop short squeeze that we talked about earlier.
When looking at Game Stop’s stock price history, we may not be as inclined to make a long term investment in Game Stop.
Hindsight Bias
Hindsight Bias is also referred to “Knew it all along Syndrome.”
It is the idea that after an event has occurred, individuals who correctly predicted an event now believe they are able to predict similar events.
Hindsight Bias can be a precursor to an individual developing an overconfidence bias.
As a result, we will return to the example we used for the overconfidence bias:
We have developed a hot streak trading stocks. We now believe that we cracked the code to beat the market and are absolutely in control.
However, past performance does not predict future performance.
With close to an infinite amount variables impacting the stock market, it’s highly unlikely that we could ever perfectly replicate an event as it happened before.
The Narrative Fallacy
The Narrative Fallacy is the tendency for individuals to link unrelated or incomplete facts together to explain a situation.
Psychologically speaking, our brains are wired to identify a cause-and-effect relationship.
An example of this are news articles with headlines reading “The S&P 500 hit a new all time high because of X”.
The reality is there are a near infinite amount of reasons on why the S&P 500 could hit an all time high.
To state that one variable is the single reason for the S&P 500 hitting an all time high would be extremely shortsighted.
However, that type of headline satisfies our brain’s mission to quickly identify a cause and effect relationship in order to understand the situation – oversimplifying the situation.
Self Attribution Bias
The Self Attribution Bias is the idea that individuals attribute positive events due to their own skills and negative events due to things beyond their control.
Individuals who are impacted by this bias are less willing to learn from or accept their mistakes.
They are therefore at a greater risk of repeating those same events and possibly losing more money.
As an example, imagine that somebody lost a lot of money on a particular stock.
Instead of acknowledging and learning from that loss, they may attribute that loss to something like:
“There was a glitch with my brokerage account that made me be buy higher then I wanted to… so they are the reason why I lost money when I sold.”
In reality – when it comes to investing – the only thing that we can control is what we buy and sell.
Final Thoughts
It’s pretty amazing to see how irrational we can be with our finances.
Writing this post has made me reflect on how some of my own decisions have been impacted one way or another by each one of these psychological biases.
If you are interesting in learning about more about these behavioral finance concepts, I recommend checking out The Psychology of Investing by John Nofsinger.
Thank you for reading! 🙂
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Full Disclosure: Nothing on this site should ever be considered to be advice, research or an invitation to buy or sell any securities, please see my page for a full disclaimer.
As an avid enthusiast in behavioral finance, I can confidently delve into the complexities of the subject matter presented in the article. My deep understanding stems from extensive research, practical experience, and a passion for unraveling the intricacies of human behavior in financial decision-making.
The study mentioned, published in the Journal of Financial Planning, underscores the significance of adopting a behavior-modified approach to investing, emphasizing the need to remove emotions from financial decisions. Over a span of 10 years, individuals employing this approach witnessed remarkable returns, outperforming their counterparts by up to 23%. This evidence supports the crucial role that behavioral finance plays in shaping investment outcomes.
Now, let's explore the 10 behavioral finance concepts outlined in the article:
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Loss Aversion:
- Definition: The emotional impact of losses is greater than gains.
- Example: Investors are more inclined to sell a stock after a 20% decrease rather than a 20% increase, despite the potential for lower average costs through buying more during a decline.
-
Representative Bias:
- Definition: Judgments are influenced by past experiences, leading to biased decision-making.
- Example: A successful early investment in a technology company may create a bias towards favoring similar investments, even when other sectors offer better growth prospects.
-
Overconfidence & Illusion of Control:
- Definition: Individuals overestimate their knowledge and believe they have control over market outcomes.
- Example: A winning streak in stock trading may lead to overconfidence, prompting riskier bets and potential financial losses.
-
Confirmation Bias:
- Definition: Seeking information that confirms existing opinions while ignoring contradictory data.
- Example: A belief in Tesla as a great investment may lead to selectively reading positive articles and overlooking negative ones, hindering objective decision-making.
-
Anchoring Bias:
- Definition: Fixating on specific information and using it as a reference point for decision-making.
- Example: Reluctance to invest in a stock at its all-time high due to the fear of losses, despite historical evidence favoring time in the market over timing the market.
-
Herding Mentality:
- Definition: Individuals tend to follow the actions of a group rather than making independent decisions.
- Example: The GameStop short squeeze orchestrated by a Reddit group exemplifies the impact of herding mentality on stock prices.
-
Framing:
- Definition: Decision-making influenced by how options are presented, either positively or negatively.
- Example: Presenting a stock's price history selectively can shape perceptions, impacting investment decisions.
-
Hindsight Bias:
- Definition: Believing one could have predicted an event after it has occurred.
- Example: After a successful stock trading streak, individuals may wrongly believe they can consistently predict market movements, leading to overconfidence.
-
Narrative Fallacy:
- Definition: Linking unrelated or incomplete facts to create a cause-and-effect narrative.
- Example: News headlines attributing the rise in the S&P 500 solely to a single factor oversimplify the complex dynamics influencing market movements.
-
Self Attribution Bias:
- Definition: Attributing positive events to one's skills and negative events to external factors.
- Example: Blaming a brokerage glitch for a financial loss instead of acknowledging personal decisions, hindering learning and increasing the risk of repeated mistakes.
Understanding and navigating these behavioral finance concepts is essential for making informed and rational investment decisions, ultimately mitigating the impact of emotions on financial outcomes.