For a while I am watching why is that doesn't matter you are well educated, having PhD you can be loser too in the market. What I observed in the last couple of years the smarter people capability to lose money on the market is higher. Doctors, professors, CEOs and other super skilled people sometimes lose more money than normal guys. So my question was, must be something common between the super intelligent people and normal educated people why they are acting in same way. Many times the more educated traders acting worse. Why?
The Cognitive Psychology studied in the last 40 years why we are making irrational decisions and why we are still overwhelmingly emotional in decision making. Below I collected some cognitive biases together regarding the investment decisions. Many maybe all of them will be very familiar to you. And if yes try to change that and you will be much better trader. The point is, we are human being with thousands of weaknesses.
If I would be asked what is our biggest enemy in the market. I can only give this answer - OURSELF, OUR MENTAL WEKNESSES...
Normalcy bias
Assuming that because something has never happened before, it won't (or can't) happen in the future. Everything that has ever happened in history was "unprecedented" at one time. The Great Depression. The crash of 1987. Enron. Wall Street bailouts. All of these events had never happened... until they did. When Warren Buffett announced he was looking for candidates to replace him at Berkshire Hathaway, he said he needed "someone genetically programmed to recognize and avoid serious risks, including those never before encountered." Someone who understands normalcy bias, in other words.
Dunning-Kruger effect
Being so bad at a task that you lack the capacity to realize how bad you are. Markus Glaser and Martin Weber of the University of Mannheim showed that investors who earn the lowest returns are the worst at judging their own returns. They had literally no idea how bad they were. "The correlation between self-ratings and actual performance is not distinguishable from zero" they wrote.
Attentional bias
Falsely thinking two events are correlated when they are random, but you just happen to be paying more attention to them. After stocks plunged 4% in November 1991, Investor's Business Daily blamed a failed biotech bill in the House of Representatives, while The Financial Times blamed geopolitical tension in Russia. The "cause" of the crash was whatever the editor happened to be paying attention to that day.
Bandwagon effect
Believing something is true only because other people think it is. Whether politicians or stocks, people like being associated with things that are winning, so winners build momentum not because they deserve it, but because they're winning. This is the foundation of all asset bubbles.
Impact bias
Overestimating how big of an impact an event will have on your emotions. Most people are utterly terrible at predicting how happy they'll be after receiving a raise, or getting a new job, particularly as time goes on. We get used to more (or less) money quickly, but it's extremely difficult to realize that before it happens. Your financial goals might change after coming to terms with this.
Frequency illusion
Once you notice an event, it seems to keep happening over and over. But it's often not; you're just paying more attention to something you were once oblivious to. The 2008-09 market crash was such a memorable event that I think investors and the media became infatuated with today's "volatile market." But the last three years have actually had below-average market volatility. We're just more attuned to normal market swings than usual.
Clustering illusion
Thinking you've found a pattern by taking a small sample out of a much larger one. For example, we know stocks' daily movements over time are random and unpredictable, but you could take a four-day period where a stock went up, up, down, down, and think you've found a trend. Day traders are attracted to clustering like bugs to bright lights.
Status quo bias
Irrationally wanting things to stay the same. People do this in part because they want to avoid costs even when they're offset by a larger gain -- a process psychologists call "loss aversion." You stick with the same bank even though it charges higher fees than another. You hold onto a stock you inherited even when you know little about it. You don't make changes to your portfolio even when it's not designed for your goals. You just want things to stay the same -- a dangerous mind-set in a world that's always changing.
Belief bias
Accepting or rejecting an argument based on how well it fits your pre-defined beliefs, rather than the objective facts of the situation. Pointing out that inflation has been low for the last five years is still met with suspicion by those who believe the Federal Reserve's actions must be causing hyperinflation.
Gambler's fallacy
The belief that future events will be shaped by past events, even when the two have no correlation. A gambler will assume a coin is due to come up heads after flipping a string of tails, but the outcome of the next flip is completely independent of the last one -- the odds are still 50/50 regardless of prior flips. Investors fall for a version of gambler's fallacy when assuming things like economic data, quarterly earnings, and politics will dictate the direction of the market, when in reality the two often move independent of each other. Randomness is hard to accept.
Ludic fallacy
Coined by Nassim Taleb in The Black Swan, the naive belief that the real world can be predicted with mathematical models and forecasts. It leads people astray because models are purposely simplified while the real world is incomprehensibly complex. As author Dan Gardner says, "No one can foresee the consequences of trivia and accident, and for that reason alone, the future will forever be filled with surprises." Ninety percent of stock analysts and economists would disappear if we'd all just accept the ludic fallacy.
Restraint bias
Overestimating your ability to control impulses. Studies show smokers in the process of quitting overestimate their ability to be say no to a cigarette when tempted. Investors do the same when thinking about the temptation to do something stupid during market bubbles and busts. Most investors I know consider themselves contrarians who want to buy when there's blood in the streets. But when the blood arrives, they panic just like everyone else.
Bias bias
The most important and powerful bias of them all, "bias bias" is the belief that you are less biased than you really are. If you read this article without realizing I'm talking about you, you're suffering from bias bias.
My conclusion finally is our biggest enemy is us. So when you realize you are as biased as everyone else, you've won the game.
Have a nice trade
