-
Research
-
Latest Research
-
Latest VideosFSI Pro FSI Macro FSI Crypto
- Tom Lee, CFA AC
-
First WordFSI Pro FSI Macro
-
Intraday WordFSI Pro FSI Macro
-
Macro Minute VideoFSI Pro FSI Macro
-
OutlooksFSI Pro FSI Macro
- Mark L. Newton, CMT AC
-
Daily Technical StrategyFSI Pro FSI Macro
-
Live Technical Stock AnalysisFSI Pro FSI Macro
-
OutlooksFSI Pro FSI Macro
- L . Thomas Block
-
US PolicyFSI Pro FSI Macro
- Market Intelligence
-
Your Weekly RoadmapFSI Pro FSI Macro FSI Weekly
-
First to MarketFSI Pro FSI Macro
-
Signal From Noise
-
Earnings DailyFSI Pro FSI Macro FSI Weekly
-
Fed WatchFSI Pro FSI Macro
- Crypto Research
-
StrategyFSI Pro FSI Crypto
-
Market UpdateFSI Pro FSI Crypto
-
Funding FridaysFSI Pro FSI Crypto
-
ConceptsFSI Pro FSI Crypto
-
CommentsFSI Pro FSI Crypto
-
Liquid VenturesFSI Pro FSI Crypto
-
Deep ResearchFSI Pro FSI Crypto
-
MiscellaneousFSI Pro FSI Crypto
-
DeFi DigestFSI Pro FSI Crypto
-
Technical AnalysisFSI Pro FSI Crypto
-
-
Webinars & More
- Webinars
-
Latest WebinarsFSI Pro FSI Macro FSI Crypto
-
Market OutlookFSI Pro FSI Macro FSI Crypto
-
Granny ShotsFSI Pro FSI Macro FSI Crypto
-
Technical StrategyFSI Pro FSI Macro FSI Crypto
-
CryptoFSI Pro FSI Macro FSI Crypto
-
Special GuestFSI Pro FSI Macro FSI Crypto
- Media Appearances
-
Latest Appearances
-
Tom Lee, CFA AC
-
Mark L. Newton, CMT AC
-
Sean Farrell AC
-
L . Thomas Block
-
⚡FlashInsights
-
Stock Lists
-
Latest Stock Lists
- Super and Sleeper Grannies
-
Stock ListFSI Pro FSI Macro
-
CommentaryFSI Pro FSI Macro
-
HistoricalFSI Pro FSI Macro
- SMID Granny Shots
-
Stock ListFSI Pro FSI Macro
-
PerformanceFSI Pro FSI Macro
-
CommentaryFSI Pro FSI Macro
-
HistoricalFSI Pro FSI Macro
- Upticks
-
IntroFSI Pro FSI Macro
-
Stock ListFSI Pro FSI Macro
-
PerformanceFSI Pro FSI Macro
-
CommentaryFSI Pro FSI Macro
-
FAQFSI Pro FSI Macro
- Sector Allocation
-
IntroFSI Pro FSI Macro
-
Current OutlookFSI Pro FSI Macro
-
Prior OutlooksFSI Pro FSI Macro
-
PerformanceFSI Pro FSI Macro
-
SectorFSI Pro FSI Macro
-
ToolsFSI Pro FSI Macro
-
FAQFSI Pro FSI Macro
-
-
Crypto Picks
-
Latest Crypto Picks
- Crypto Core Strategy
-
IntroFSI Pro FSI Crypto
-
StrategyFSI Pro FSI Crypto
-
PerformanceFSI Pro FSI Crypto
-
ReportsFSI Pro FSI Crypto
-
Historical ChangesFSI Pro FSI Crypto
-
ToolsFSI Pro FSI Crypto
- Crypto Liquid Ventures
-
IntroFSI Pro FSI Crypto
-
StrategyFSI Pro FSI Crypto
-
PerformanceFSI Pro FSI Crypto
-
ReportsFSI Pro FSI Crypto
-
-
Tools
-
FSI Community
-
FSI Snapshot
-
Market Insights
-
FSI Academy
-
Book Recommedations
- Community Activities
-
Intro
-
Community Questions
-
Community Contests
-
Part 1
Common Errors in Statistical Analysis
Errors is common. Check that: Errors are common
It’s a commonality among everyone: We all make mistakes, whether it is something as minor as mistyping your login password or misplacing your phone. Everyone makes errors…especially in the ruthless game of investing.
In his memo to clients “It’s All a Big Mistake,” Howard Marks writes that “mistakes are all that superior investing is about.” To grow and prosper, you have to make errors and fail. When you get knocked down, face first on the ground, you push yourself up and brush the dirt off. The concept applies to investing, where losses, bad luck, and bad timing are inevitable for even the best of the best.
While the memo is directed toward investing error, the principle applies for statistical analysis as well. Statistical analysis is the collection and interpretation of data in order to uncover patterns and trends. Something as simple as calculating the mean percentage grade of a high school math class falls under the tab of statistical analysis.
A statistical error is the unknown difference between the obtained value and the actual value. In his memo, Marks writes, “the potential of error is ever-present, and thus of the importance of mistake minimization as a key goal.” When performing analysis, there is a guarantee that errors will occur at some point. However, recognizing where the mistake occurred and avoiding the duplication of that error in future analysis remains the ultimate goal.
You might think the tests used for statistical analysis provide 100% accuracy. But that’s not the case. To perform an analysis, consider factors such as sample size, external bias, sampling methods, etc. Each is needed to achieve the most accurate data. Bottom line: Many errors can occur in any analysis. It is critical not to fall into the same trap. Going through each tedious step of the analysis process is difficult to conduct with precision. But without it, the flood gates are left open for the rapid currents of errors.
In June, we polled our research heads as the market had fallen once again amid the 2022 first-half bear market. We asked each of them: How do you manage emotions amid downturns? Brian Rauscher, our Head of Global Portfolio Strategy and Asset Allocation, and Adam Gould, Head of Quantitative Research, both offered timeless insight on mistakes — and the inevitable nature of making errors.
Said Rauscher: “We hear, ‘When the market is exuberant, we want to be careful, and vice versa.’ Sometimes, you must throw analysis out the window. Tops and bottoms are made by fear and greed. At every major top, markets have been overvalued. At every major bottom, markets have been undervalued. Long-term, I believe markets are driven by corporate earnings. Bottom line: you should have a system and stick with it to be disciplined. Using tools to remove not all but good portions of emotion is important, though having some degree of subjectivity is important. Also, wait for your opportunities. As I’ve grown older, I’ve learned how patience helps. Markets overshoot to both sides, which creates challenges, but opportunities as well. Proper sizing and rebalancing are critical actions. Another thing: there’s almost always going to be a bull market in something. People have regrets, ‘Oh, I shouldn’t have missed out on that.’ Guess what? The market will always be here. Miss on something? Big deal! Show up and look for the next one.”
Added Gould: “Trust your plan, trust your models. As good as your plan might be, sometimes you’re going to underperform. You want to have a plan and stick to it. Know your limits and principles. My model, for example, had a great couple of months, and it struggled a little in June. I’m not going to suddenly change it. It happens. Do you have the courage to stay the course? Say you’re invested in Bitcoin. How do you look at that and not get upset? You can’t. It’s about staying the course.”
In his famous quote, Thomas Palmer summed it up perfectly:“ If at first you don’t succeed, try, try, try again.”
Related Guides
-
Series of 3~6 minutesLast updated1 month ago
Your Price Target Is Likely Going to be Wrong. Here’s Why You Should Set One Anyway.
Price Targets
-
Series of 3~9 minutesLast updated7 months ago
Technically Speaking – The FS Insight Primer on Technical Analysis
Three-part series on technical analysis
-
Series of 4~10 minutesLast updated2 years ago
Commodities 100
An introduction to commodities for novice investors.
-
Series of 3~11 minutesLast updated2 years ago
Understanding Risk and Return: Hallmarks of Investing
Risk/return is so crucial to investing that it is sometimes considered the essential element of the whole craft. In this guide, we provide insights and tools to better understand risk and how to control it.
-
Series of 7~24 minutesLast updated2 years ago
Tom Lee's Seven Principles of Evidence-Based Research
It is important to be evidence-driven when making decisions in equity markets. People have acclaimed some of our team’s market calls, but if you look closely much of the time, we were just following the data.
-
Series of 3~15 minutesLast updated2 years ago
Investor Psychology 100
You may have heard this before: Many of the world’s top investors manage their portfolios well because they manage their emotions well. But what does that look like? If you want to know more about investor psychology – arguably the most critical component of the entire game -- you’ve come to the right place. Let’s dive in.