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Mind Over Money

The psychology of investing has become such an important area of research that major hedge funds are building trading strategies around human behavioral patterns. In Mind Over Money, Kevin Cook explores the crossroads where markets and brains collide, delving into the two sciences – neuroscience and behavioral finance – that show why investors are often highly irrational when faced with economic decisions, uncertainty, and risk.
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Now displaying: Category: general
Oct 10, 2017

After this high-profile prize in economics, investors might just be ready to admit how irrational they can be. Please pick a time stamped topic below:

(0:45) - Richard Thaler and Daniel Kahneman

(5:45) - Active Traders Already Accept Their Irrationality

(9:30) – Psycho-Economic Thinking for Investors

(12:00) - Richard Thaler: Nobel Praise Where It’s Due

(16:45) - Dan Ariely's Nod Before Nudge

(21:30) - Save More Tomorrow: Applying Behavioral Economics

(25:00) - What To Takeaway From Richard Thaler's Work  

(28:50) - Episode Roundup: Podcast@Zacks.com

 

Oct 3, 2017

In honor of the late great Let's Make a Deal host, I offer some good and fun reasons to learn more math. Please pick a time stamped topic below:

 (1:00) - What The Framers Couldn't Imagine

(7:00) - Monty Hall: The Probability Brain Buster

(12:30) - Jeff Yass: The Power Of Rational Thinking

(18:30) - Breaking Down The Probability Of The Monty Hall Problem

(24:00) - Daniel Negreanu: Probability Simulation

(28:45) - Episode Roundup: Podcast@Zacks.com

Sep 12, 2017

Beyond a mere momentum fad, 3 of these companies are part of tech renaissance that will last decades. Please pick a time stamped topic below:

(0:30) - FANG Stocks: Momentum Fad or Millennium Fuel?

(3:30) - The 6 Exponential Technologies

(8:45) - Is Facebook an Exponential Change-Agent?

(12:30) – A Long-in-the-Tooth Bull Market: Is It Peaking?

(15:30) - 5 Secrets of This Bull Market

(21:15) - Abundance Excerpt: Igniting The Enlightenment

(26:00) - The Rising Billion: The Impact Of Automation

(29:20) - Episode Roundup: Podcast@Zacks.com

Aug 29, 2017

This episode is all about the risk and reward of decision-making. Sometimes we avoid making decisions, and often we never learn from our bad ones. I was fortunate that I became a high-frequency currency trader 20 years ago and learned how to make lots of decisions every hour that I could never regret, and only learn from. But that doesn’t mean I don't still fall prey to the bad habits we all have when faced with uncertainty and risk.Please pick a time stamped topic below:

(0:20) – Risk-Reward Analysis for Better Decision-Making

(2:40) - The 6 Pillars of Great Trader Behavior

(6:00) - Behavioral Finance and Neural Science: Your Brain Isn't Meant To Trade

(11:00) - Peter Diamandis and Steven Kotler's Book, Abundance

(19:30) - Biotech Stocks: Gilead Buys Kite Pharma

(24:30) - Why Kevin Sold JUNO While Its Still On The Rise

(32:00) - Episode Roundup: Podcast@Zacks.com

Jun 27, 2017

 

Welcome back to Mind Over Money. I’m Kevin Cook, your field-guide and story-teller for the fascinating arena of Behavioral Economics. Please pick a time stamped topic below:
 

(0:30) - Disruptive Technology and New Shopping Behavior

(2:10) - Google, Facebook and Alibaba Making Waves in the News

(8:30) - Facebook Ads: Creating a Revolution For Small Business

(10:00) - The E.T. Economy: It's All About Consumer Experience

(15:20) - The Gig Economy: Thumbtack, TaskRabbit, Upwork

(19:00) - Mobile Shopping: SSF Method and 8 Big Predictions for Facebook Marketing

(25:00) - How Facebook Sells $30 Billion in Advertising

(28:30) - Episode Roundup: Podcast@Zacks.com

 

May 9, 2017

Could automation and AI wipe out a billion jobs in the next decade and create an inequality chasm? Please pick a time stamped topic below:

(0:40) - Automation Puts a Billion Jobs in Danger

(2:00) - Big Economic Disruption: Big Data, AI and Robotics

(3:40) - Is the Industrial Revolution Coming To An End For China and India?

(6:10) - Where are the Investment Opportunities?

(10:30) - IBM and Nvidia

(13:00) - Elon Musk: Neuralink

(16:30) - Biological Evolution: 3 Must Read Books

(19:45) - Yuval Noah Harari - Homo Deus

(27:15) - Episode Roundup: Podcast@Zacks.com

Mar 21, 2017

While Dan Ariely’s first book offered a slightly depressing view of human behavior, Payoff may change your life for the better. Please pick a time stamped topic below:

(0:20) - Dan Ariely: Predictably Irrational

(4:10) - Do first impressions get imprinted on us?

(6:30) - Arbitrary Coherence: Why do we accept anchors?

(12:00) - Are price tags anchors?

(14:30) - Dan Ariely: Payoff

(16:40) - What gets scheduled, gets done.

Feb 28, 2017

Welcome back to the Mind Over Money podcast. I’m Kevin Cook, your field guide and storyteller for the fascinating arena of behavioral economics.

I’m excited about today’s topics because we are going to talk about how our brains use stories to make decisions. In fact, after I tell you a few stories about brains and stories, you’ll start to wonder which came first – brains or stories!

Please pick a time stamped topic below:

 

(0:30) - How Storytelling helps us make decisions: Peter Guber Article

(4:15) - How do our perceptions effect our decision making

(7:15) - Insights from neuroscientist, Michael Gazzaniga

(15:00) - Experiments done by neuroeconomist, Paul Zak

(21:50) - Molly Crockett: "Beware neruo-bunk"

Jan 26, 2017

Welcome back to Mind Over Money. I’m Kevin Cook, your field guide and story teller for the fascinating arena of Behavioral Economics.

 

Today my guest is a trading coach who once worked in the field of “threat assessment” where he dealt with bank robbers, hostage negotiations and bomb threats.

 

Now psychologist Andrew Menaker focuses on a pragmatic model to help traders create self-awareness, positive behavior change, and ultimately success in their chosen vocation.

 

And I'm really excited to talk to him because he gives powerful depth and breadth to areas of trading psychology that I have long known were extremely important but never thought could be formulated into repeatable cognitive strategies that could help so many different types of traders.

 

Before we meet Dr. Menaker, I want to share a short blog he posted on LinkedIn back in October. This excerpt will set up our conversation well...

 

Trading Psychology That Works!

 

You know those lists of personality traits or characteristics of ‘good traders’ – what happens after you read them? Do you get excited? Do you become hopeful? Do you become worried that maybe you don't have the right stuff? Moreover, will reading about it make you a better trader?

 

That’s the big question, right? Does reading that stuff help you become a better trader? For the vast majority, my bet is that it doesn’t help at all! In fact, for most traders it triggers a very personal and particular sense of worry….I don't have the right stuff….Will I ever have the right stuff? How do I get the right stuff?

 

Then along comes an ad, a tweet, a webinar, or blog piece that promises to show you the path. Hypnotic suggestions, meditation, affirmations, positive thinking, NLP, Tapping, ‘brain balancing’...etc. I threw in ‘brain balancing’ because I recently spoke to a trader who was very angry, telling me, “I wasted money on brain balancing.”

 

The list of things promising to make you a better trader seems almost endless.

 

Most of the people selling you that stuff are not that different from the people selling you the ‘trading edge that works’. I like to refer to them as dream merchants. They are selling you a dream, not reality.

 

(you can read the full blog here or listen to the podcast and hear me read the whole thing to you!)

 

The Most Important Market in the World

 

Be sure to listen to my 20-minute conversation with Dr. Menaker where he tells how he went from the "threat assessment" business to helping traders uncover their own threats to their capital -- and their mental and physical health.

 

His analysis of the trading psychology game is original, practical, and based on his own experience as an S&P Emini futures day trader. He teaches traders to not just become aware of their emotions but how to use them as a rich source of information about their trading and decision-making.

 

But he warns that it takes "psychological courage" to do the work of analyzing and understanding the most important market you trade -- your "inner market" of thoughts, beliefs, perceptions, and neurological habits.

 

Dr. Menaker and I strongly agree that trading is actually a great way to discover yourself if you are willing to do that work.

 

If you're not into that, at least he provides a framework and a pathway to becoming the trader you always wanted to. Check out today's podcast to learn more about his ideas and work.

 

And thanks for following Mind Over Money. If you have questions, comments, or suggestions for future topics, please email us at podcast@Zacks.com

 

Plus, don't hesitate to be generous with compliments! Let my boss know you want Mind Over Money to keep exposing the psychology of investing!

Jan 17, 2017

The Evolution of Risk-Taking

 

Trading is one of the hardest day jobs in the world – what drives those who succeed at it?

 

Welcome back to Mind Over Money, I’m Kevin Cook, your field guide and story teller for the fascinating arena of behavioral economics.

 

Today my guest is a PhD candidate from the University of Greenwich in London who is studying the risk-taking behavior of traders from the perspective of evolutionary psychology.

 

Belinda Vigors wants to know if successful traders are doing anything different when making decisions under uncertainty and stress than us mere mortals who wrestle with our cognitive biases and unknown depths of neurochemistry and neuro-circuitry that drive our emotional habits.

 

Before we meet Belinda, I want to give you some background for our discussion that is actually causing a rift in the field of behavioral economics, at least for those of us who apply it to markets and trading.

 

I have been a long-time fan of Daniel Kahneman -- who is the only psychologist ever to win a Nobel Prize -- for his work on decision making under uncertainty and risk. He practically invented the discipline of behavioral finance.

 

And the cognitive biases that he has discovered and named over 4 decades have given us a rich vocabulary with which to talk about people (and traders) acting stupid and irrational with money and risk.

 

Since I am also an eager student of neuroscience, I simply look at the two fields as different but complementary ways of describing and understanding decision making. As I like to say, the behavioral gang studies us from the OUTSIDE-IN, while the brain gang studies us from the INSIDE-OUT.

 

An Affinity for Randomness and Ambiguity

 

But Kahneman’s 2011 book Thinking Fast and Slow has caused some extra controversy in the twilight of his long career because he may be not only oversimplifying how our decision making works, but also limiting any believer’s choice of solutions or therapies.

 

In other words, his System #1 and System #2 for thinking -- the fast and emotional vs. the slow and rational, respectively -- don't appear to integrate with the findings of brain science very well, which would argue for much more complexity especially as emotion and neurochemistry are concerned.

 

Kahneman also no longer likes describing humans as “irrational.” But then how do we explain all sorts of self-sabotage regarding money, risk and long-term goals? Or, how about truly self-destructive behavior like crime and violence?

 

And Kahneman’s theories are not based on any clinical work in helping people or traders change their thinking and decision-making. Since I did not read Thinking Fast and Slow, in today’s podcast I share a quick review by a thoughtful investor who explains quite well why the theories may be very limiting.

 

Ravee Mehta, a portfolio manager and author of The Emotionally Intelligent Investor: How Self-Awareness, Empathy and Intuition Drive Performance, says that Kahneman’s systems miss much of the significant skill, discipline, and what I call an “affinity for randomness” that traders can develop when they become more aware of their emotions and intuition.

 

Here’s an excerpt from Mehta’s 2012 blog, “Daniel Kahneman is Wrong (at least when it comes to investing)”...

 

I humbly disagree with Kahneman, a Nobel laureate, and some other prominent psychologists when it comes to “fast-thinking” and investing. They argue that the stock market is too complex and random for intuition to be developed. They believe that the randomness causes people to build incorrect association biases. This argument is flawed.  While the overall market may seem complex and random, there are many patterns within it that recur frequently. The best money managers recognize patterns developing ahead of most. They also can develop useful intuition because they are honest with themselves about the role luck had in their success.  The intuitive decision-making that is involved with investing is much more complicated than other types of decision-making. However, that does not mean that we should abandon trying to better develop and use gut instincts when we invest.

 

The Evolutionary Path of Trader Brains

 

Cognitive biases, emotional habits, and intuition are definitely interesting. But what really gets me excited is talking about how our brains work. And that invariably leads to discussions about our evolution.

 

So I was really excited to bring in a young student of this complex collision between behavioral science and of one of the hardest jobs on the planet, trading.

 

Belinda Vigors explains how traders may be dealing with risk in terms of “need thresholds” and survival goals. She bases part of her theories about emotion on the work of psychologist Jennifer Lerner of Harvard whose research examines the distinct effects of fear, anger, and happiness on risk perception and risk preference.

 

Be sure to listen to the podcast to hear my full conversation with Belinda.

 

Kevin Cook is a Senior Stock Strategist at Zacks Investment Research where he runs the TAZR trading service.

Dec 20, 2016

How one of the smartest minds on Wall Street was blinded by belief and abandoned due diligence

 

VRX, CP, MTN, HLF, CMG

 

Welcome to Mind Over Money. I’m Kevin Cook, your field guide and story teller for the fascinating arena of Behavioral Economics.

 

I’m back after a 3-week bout with bronchitis. I’ve got a funny story about what I learned at the doctor that ties into a great neuroscience topic: how we acquire new skills. But first, let me preview our main topic for the show today...

 

As 2016 winds down, I want to re-cap one of the biggest stock market implosions of the past 18 months and the big name investor who last week began some tax loss selling after a 95% drop in the shares.

 

The stock is that of Valeant Pharmaceuticals (VRX). And the big investor is Bill Ackman of Pershing Square Capital Management. His funds have lost billions of dollars because the Valeant implosion. And the story I am going to tell you will definitely interest you if you are at all curious about how smart people make really disastrous decisions.

 

Okay, so what happened at the doctor? As part of my exam, they gave me a chest X-ray to check for pneumonia. The good news is that I didn’t have pneumonia. The more interesting news the doctor shared on her way out… “Oh, by the way,” she said. “You have two cracked ribs.”

 

Be sure to listen to today's podcast to hear where those cracked ribs came from and what it has to do with "carving" new neural pathways. I'll give you a clue: I had to retire from snowboarding at the ripe young age of 37.

 

The Valeant Implosion

 

Valeant Pharmaceuticals stock was trading around $260 per share at its peak in the summer of 2015. Today, it’s trading $15. The story of the collapse has to do with an ambitious CEO named Mike Pearson and his company’s strategy to quickly become one of the top 10 pharmaceutical corporations in the world. Buying Bausch & Lomb for over $8 billion dollars was solid proof that they were very serious.

 

Pearson’s stated goal was actually to get Valeant in the top 5, among the likes of Pfizer, Johnson & Johnson, Novartis, and Merck.

 

I know a little about this story because I was an investor in VRX in 2013 and 2014, catching several pieces of its rise from $65 to $145. The fundamental growth story, both in terms of sales and profits, was impressive. But I was also following on the coattails of some of the smartest money on Wall Street, including legendary investors like Ruane, Cunniff, and Goldfarb who ran the Sequoia fund.

 

In many investments, I often trust the research skills and judgement of several big investors more than my own analysis. Based on Pearson’s goal, he would have to grow Valeant from a $20 billion company, in terms of its market capitalization, to a nearly $200 billion company. That would be a 10X feat. Everything I saw showed that he might have a shot.

 

And the only reason I didn’t ride the stock higher in 2015 when it vaulted from $145 to $175 in a few weeks was because I was waiting for a pullback to get in.

 

Enter Bill Ackman who, it was revealed through SEC filings in February of 2015, was acquiring a sizable nearly 10% stake in Valeant and partnering with the company to buy another pharmaceutical firm, Allergan. Shares of VRX shot up to $200 in late February and never looked back until they peaked in August of 2015 just over $260.

 

So what happened? Why did Valeant, as an investment and as a company, begin to fall apart? The details of the collapse are complicated and part of a much longer story that involved accounting irregularities, egregious drug pricing practices, and questionable pharmacy partners cooperating in questionable sales reporting practices.

 

In the Mind Over Money podcast I share a timeline of the events of August through October by Stephen Gandel writing for Fortune magazine on October 31, 2015.

 

And the most interesting questions I'm trying to answer are about how Bill Ackman ignored the clues about Valeant's messy business practices and rode the stock -- with a position in the tens of millions of shares -- to stunning losses.

 

Not only that, even when the wolves were out, from Congress to research firm Citron, and shares were quickly collapsing to $100, all Bill could think of was massively increasing his position by buying tens of millions of dollars’ worth of options.

 

You can learn more about those options strategies in this video...

 

Synthetic Stock: How Ackman Double-Down on VRX

 

This whole Valeant-Ackman saga will be studied for years for its lessons in behavioral finance and decision-making. I hope I've helped you understand it better so you can see how we can all be blinded by our hope and greed.

 

Kevin Cook is a Senior Stock Strategist for Zacks Investment Research.

Nov 22, 2016

While Renaissance Technologies makes most other hedge funds look foolish, even the independent trader can copy their discipline

 

NFLX, PANW

 

Long-time followers of mine in this bull market know that every quarter I go over the holdings of hedge fund Renaissance Technologies because they were one of the early quant houses that made algo trading so successful and popular.

 

The founder, Jim Simons, was a mathematics professor in the 1970s who never thought about the markets much. He sort of stumbled into testing some theories on stocks, and the rest is history as he was pulled headlong into the markets and created a powerhouse with over $50 billion AUM (assets under management).

 

And Simons made a point of not hiring MBAs, traders, or anyone with a background in finance. He only wanted physicists, engineers and other quantitative problem-solvers to come work for him and mine the data of markets to find unique correlations, patterns and new edges.

 

What kind of data patterns and correlations are they after? Well, with 90 Ph.Ds. on staff, mostly math, science, and engineering types, we can only guess that they are sifting through mountains of fundamental, price, economic, weather, and consumer patterns, looking for those small anomalies between individual stocks and industries and other asset classes.

 

Mining Data Others Ignore

 

If it’s a popular, well-known correlation, they don't want anything to do with it. They hunt in the noise of tons of data for things that others can't see, or are not even looking for.

 

This week, Matt Levine at Bloomberg View wrote briefly about Renaissance after colleague Katherine Burton published a full story on the company and its funds and practices for the December/January issue of Bloomberg Markets magazine. Here's how Levin opens his piece, quoting data from Burton's story...

 

The big problem with Renaissance Technologies, the Long Island-based "pinnacle of quant investing" founded by Jim Simons, is that its Medallion fund makes too much money.

 

Medallion was up 21 percent for the first six months of 2016. It was up 35.6 percent last year, 39.2 percent the year before, 46.9 percent the year before that. This keeps going. The last down year was 1989. The fund had a rough few days in August 2007, but ended the year up 85.9 percent. It has returned about 40 percent per year, on average, net of fees, since it started in 1988.

 

Of course it can't keep compounding returns that way because of the size factor. What you can do well with a 5 billion dollars you can't necessarily as well, much less better, with 50 billion. And that's why they are forced to simply return profits to investors, who are primarily employees now since the fund was closed to new investors in 2005.

 

Matt Levine's piece on Bloomberg View can be found here and the full Burton story is linked above.

 

Can a Human Trader Copy Black Box Success?

 

While the computer programs that work for Renaissance are still a big mystery -- like we don't know how many strategies just trade intra-day to make money -- it's safe to say that they create a lot of turnover in stocks, exploiting new patterns or "edges" in thousands of stocks.

 

But doesn't that mean a lot of extra risk?

 

What most people miss about the success of the algos and black box trading systems is that they run through markets with big size in thousands of stocks and instruments because the risk control is automated too.

 

It’s not like you or I trading 100 stocks at once and going crazy trying to keep track of the risk and profits. They program the computer models to seek and destroy profit opportunities and to manage the risks in real-time too so that they are never destroyed.

 

So speed and continuous, instant access make the difference too, especially if the model is wrong about an opportunity. In that way, they take human emotion completely out of the decision-making equation.

 

With that I want to introduce you to our guest today, who is like David to the Goliath Renaissance. Jeremy Mullin is a colleague of mine at Zacks where he starts with a simple quant model built on earnings momentum – the Zacks Rank -- and then overlays his own suite of technical trading filters and what I will broadly call “behavioral analysis” because he pays attention to extreme moves in stocks that are often driven by algo trading that is exploiting investor fear and greed in the markets, which therefore sets up new opportunities for him.

 

Jeremy has spent the last 13 years as an equity, futures and options trader. His main focus when trading stocks is high beta equities and earnings moves. He uses technical tools when entering and exiting trading setups, but also watches order flow to get a “feel” for market direction.

 

Check out the Mind Over Money podcast, episode 4, to hear my interview with Jeremy.

 

Kevin Cook is a Senior Stock Strategist with Zacks Investment Research where he runs the Tactical Trader service.

Nov 1, 2016

Today marks the kick-off edition of Mind Over Money, the only podcast that exposes the psychology of investing. I’m Kevin Cook, your field-guide and story-teller for the fascinating arena known as behavioral economics, which includes the sub-field behavioral finance and also draws in the related research from neuroscience, where brain imaging “sheds light,” if you’ll pardon the pun, on how we make decisions about money, uncertainty, and risk.

 

Jason Zweig described these merging fields in his 2007 book Your Money & Your Brain: How the New Science of Neuroeconomics Can Help Make You Rich.

 

Zweig, as you may know, wrote for Money magazine for years and was the editor of the revised edition of Benjamin Graham’s The Intelligent Investor. He now writes for the WSJ. So he wasn’t just a journalist describing an investing fad. He’s schooled in classical investing methods and knew he was on to something of enduring importance when he either coined, or at least put on the map, the term “neuroeconomics.”

 

He opens his book, which I consider must-reading for all students of the market, this way…

 

“How could I have been such an idiot?” If you’ve never yelled that sentence at yourself in a fury, you’re not an investor. There may be nothing across the entire spectrum of human endeavor that makes so many smart people feel so stupid as investing does.

 

But actually, I didn’t discover Jason’s book until about 5 years ago. And I had been working on the same ideas as him prior to the financial crisis. In fact, I published part of my thesis that “Your Brain Wasn’t Made to Trade” in 2008 in an industry magazine called SFO, which stood for Stocks, Futures, and Options.

 

My objective with Mind Over Money is to inspire you to be nearly as interested in behavioral economics, behavioral finance, and neuroscience as Mr. Zweig and I both are. And of course, we both give you plenty of other experts and resources to aid in that endeavor. That’s because so many great and dedicated researchers came before us and created the invaluable insights of these fields.

 

My unique contribution is that before I discovered behavioral finance or became passionately interested in brain science, I was studying great traders and terrible traders, through their successes and their failures, on the trading floors of Chicago since the mid-1990s.

 

This Is Your Brain on Risk

 

There are a lot of forces and players on Wall Street that can separate you from your money. But our greatest financial enemy is often ourselves.

 

Three great areas of study give us insight about this self-sabotage: behavioral finance, neuroscience, and the collective wisdom of great investors and traders who discovered through hard-won experience what those two sciences now teach us.

 

When we study these areas, we can become more aware and better equipped to spot how our own minds and habits either get in the way or help us make better decisions when it comes to money, uncertainty, and risk.

 

One group of researchers studies people from the outside-in, the behavioral finance group, who owe much to the ground-breaking work of Daniel Kahneman and Amos Tversky in the 1970s.

 

The other group, the neuroscientists, studies our behavior from the inside-out, as they pinpoint what brain structures and functions are involved in different types of decisions and responses.

 

What happens when our minds meet markets has been a passionate area of interest for me for over 20 years, ever since I first walked on the trading floors of Chicago and watched the good, the bad, and the ugly among professional speculators.

 

So how did I come to the conclusion that “your brain wasn’t made to trade?” It’s a bold statement. But once I show you the evidence behind it, I bet you will agree.

 

The Era of Rogues and Geniuses

 

In 1995, when my trading career was first getting started, the oldest bank in the world collapsed because of the rogue actions of one employee. Founded in 1762, Barings Bank was wiped out by trader Nick Leeson who was taking on exceptionally large trades – and losses – in Japan’s Nikkei futures market.

 

And he was able to hide them for a time until the risk managers finally woke up and started to notice that accounts were not balancing.

 

At the time, it seemed people everywhere – from journalists and regulators to traders, bankers, and the man or woman on the street – were all shocked that something like this could happen.

 

I started tracking stories like this, especially as they seemed to be occurring more often. In 1998, we saw the biggest hedge fund failure ever – up to that time. It is dwarfed by comparison since then.

 

Long-Term Capital Management had to be bailed out by 16 Wall Street investment banks, in a campaign orchestrated by the Greenspan-led Federal Reserve, because their losses in interest rate sensitive markets around the globe were viewed as threatening to financial markets.

 

The bailout at over $3.5 billion is considered paltry by today’s “too big to fail” standards. But the truly notable dynamic was that the fund was run by some of the smartest minds on Wall Street, like Myron Scholes who had just won a Nobel prize in Economics the year before.

 

I also kept track of the big blow-outs I witnessed in the trading pits in Chicago. New floor traders would always come and go on a regular basis. But the surprises came when a 20-year veteran would suddenly vanish because he took exceptional risk that went way wrong and wiped out a multi-million dollar account.

 

Rogues, Gamblers, and Wizards: What can we learn from them?

 

As I watched the rogues and the blowouts, I also read about the great traders. Jack Schwager’s books about the Market Wizards are really required reading for anyone who wants to become a full-time trader. They are in-depth interviews with big successes like George Soros, Paul Tudor Jones, Michael Steinhardt, and options wizards like Blair Hull.

 

As I read these dozens of interviews across 3 of Schwager’s books, I found six themes all these great traders and investors had in common. I’m going to list them for you because even before I had ever heard of behavioral finance or became interested in brain science, these “street-smart” winners had cornered the market on the principles of being in command of their own minds and trading behavior:

 

1.    Psychology: emotional decision-making was a paramount discovery

2.    Discipline: having lost big without them, rules became lifesavers

3.    Risk Management: the “golden rule” is to cut losses quickly and let winners run

4.    Probability: repeatable methods & mechanics of risk/reward evaluation

5.    Consistency: steady compounding was better than windfalls and wipeouts

6.    Systems: putting the first 5 together in routines of planning & preparation

When I became a professional currency trader in 1999 upon the introduction of the euro, I noticed that even bank traders were an emotional and irrational bunch. As I studied the two sciences, I concluded that our brains were “hard-wired” to break the “golden rule” of trading.

 

In other words, our fear-driven, excitable, and emotional brains preferred (1) to avoid losses at all costs (so we would only take them when it was almost too late) and (2) to take gains quickly. This irrational and upside-down approach to risk/ and reward was the mathematical road to insolvency.

 

So I started researching how to train “trader brains” and I developed a probability simulation called Masters of PROP: Probability, Risk, and Optimal Profit. That trader training never goes out of date because its subject material, human brains, remain irrational, decade after decade.

 

Is It All Just About Greed?

 

So if the Market Wizards principles of the world’s best traders and investors worked so universally, what were the rogue traders and reckless fund managers doing – just the opposite?

 

Well, it’s a little more complicated than that. Because while there might be a half-dozen ways to do things right, there are many dozens, if not hundreds, of ways to make our money go away.

 

What always gets highlighted with rogues and “geniuses” that fail is that they were just greedy. But as I put together my thesis that “Your Brain Wasn’t Made to Trade” in the early 2000s, I came up with 3 more distinct and important drivers of financial bad behavior…

 

#1: Ego and the desire to be seen as “the great trader.” This was evident in so many of the rogue trader stories, like John Rusnak accumulating $700 million in losses for Allied Irish bank between 1997 and 2002.

 

#2: Irrational or immature beliefs about money, success, self-worth, and happiness such as “I deserve it!” or “This needs to happen now!” or “Once I win this back, I’ll make everything right again.” This kind of stuff tends toward either unconscious or full-blown narcissism with lots of emotional immaturity in between.

 

#3: Ignorance or lack of skill with probability

 

The primary reason I think we gain so much from studying rogues and other reckless gamblers is because what the rogue does to a billion dollars of other people’s money, we can do to our own accounts if we are not aware of our mental habits and cognitive biases as they impact our decision-making with money and risk.

 

And here, I have a confession to make.

 

While I could be as guilty as any investor-trader of any of these faults, the one I knew I had to immediately do something about was Probability. As a trading floor clerk in the late 1990s, I realized I had to make up for my lack of understanding and skill with probability.

 

And since equations were not my favorite things in high school or college, I found that the stories of how probability was invented and how it was used – in the options markets, in Vegas, in sports, and in weather modeling – pulled me in and gave me a practical way to learn the math I needed to know.

 

I must have read the stories of how Pascal and Fermat invented modern probability theory in the 1650s a dozen times before it started to sink in and I could make sense of all the equations that came after.

 

But you’re probably still wondering where I get the nerve to say Your Brain Wasn’t Made to Trade?

 

It’s all in this week’s podcast.

 

And be sure to check out my weekly video where I expose the psychology of investing with behavioral and cognitive biases. My most recent gives a great example of mental accounting.

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