Show pageOld revisionsBacklinksBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ======Expectancy====== Expectancy is a statistical measure that tells you what you can expect to make, on average, for every investment or trade you make. Think of it as the average profit or loss per decision, calculated over a long series of similar decisions. It's not a crystal ball for predicting the outcome of your //next// stock pick, but rather a powerful report card for your entire investment strategy. The formula combines your win rate, loss rate, average win size, and average loss size into a single, crucial number. A positive expectancy means your strategy is mathematically sound and likely to be profitable over time. A negative expectancy, on the other hand, is a glaring red flag, signaling that you're on a path to losing capital—even if you get lucky with a few big wins along the way. For a disciplined investor, it’s a critical tool for moving beyond hope and into a realm of calculated, probabilistic thinking. ===== The Nitty-Gritty of Expectancy ===== At its heart, expectancy is about balancing how often you win with how much you win. A strategy can be wildly profitable even if you lose more often than you win, as long as your winning trades are significantly larger than your losing ones. ==== The Formula Unpacked ==== The math is simpler than it looks and incredibly insightful. The formula is: **Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)** Let’s break down the components: * **Win Rate:** The percentage of your investments that close with a profit. * **Loss Rate:** The percentage of your investments that close at a loss. * **Average Win:** The average monetary gain from your winning positions. * **Average Loss:** The average monetary loss from your losing positions. === A Practical Example === Imagine you’ve closed 20 investments over the past few years. - 12 of them were winners (a 60% win rate). - 8 of them were losers (a 40% loss rate). - Your 12 winners generated a total profit of $30,000. Your **Average Win** is $30,000 / 12 = $2,500. - Your 8 losers generated a total loss of $8,000. Your **Average Loss** is $8,000 / 8 = $1,000. Now, let's plug these numbers into the formula: - Expectancy = (0.60 x $2,500) - (0.40 x $1,000) - Expectancy = $1,500 - $400 - **Expectancy = $1,100** This result means that, based on your track record, every investment decision you make with this strategy has a positive expectancy of $1,100. This is a system worth sticking to! ===== Why Expectancy Matters to a Value Investor ===== While often associated with short-term trading, the concept of expectancy is a perfect fit for the value investing philosophy. It provides a mathematical foundation for patience and discipline. ==== Beyond a Simple Coin Toss ==== Many investors mistakenly fixate on having a high win rate. But legendary value investors often succeed not by being right all the time, but by being //very// right when they are right. Their success hinges on achieving [[asymmetric returns]], where the potential upside of an investment dramatically outweighs the downside. This is where the [[margin of safety]] comes in. By buying a great business at a significant discount to its intrinsic value, you limit your potential loss. If you're wrong, your loss is cushioned. But if you're right, the upside can be multiples of your initial investment. This structure naturally creates a high "Average Win" and a low "Average Loss," driving a strong positive expectancy even if the "Win Rate" is only slightly better than a coin toss. ==== The Psychological Edge ==== Investing is a mental marathon, and losing streaks are inevitable. Knowing your strategy has a positive expectancy is the ultimate source of conviction to stay the course when the market turns against you. It helps you avoid the classic blunders documented in [[behavioral finance]], like selling in a panic or getting lured into speculative manias. As [[Warren Buffett]] and [[Charlie Munger]] have long preached, a sound, rational framework is your best defense against emotion. Expectancy is a cornerstone of that framework. ===== Calculating Your Own Expectancy ===== You can't manage what you don't measure. Calculating your own expectancy is a straightforward process that begins with one simple habit: - **Step 1: Keep an Investment Journal.** Meticulously record every investment you make. Note the date, the company, the entry price, the exit price, and a brief thesis for why you bought it. - **Step 2: Tally the Score.** After you've closed a reasonable number of positions (at least 20-30 to get a meaningful sample size), separate them into a "winners" pile and a "losers" pile. - **Step 3: Do the Math.** Calculate the four key metrics: Win Rate, Loss Rate, Average Win, and Average Loss, just like in the example above. - **Step 4: Find Your Number.** Plug your metrics into the expectancy formula. The result is a hard, data-backed measure of your effectiveness as an investor. Review it annually to track your progress. ===== The Bottom Line ===== Expectancy is more than just a formula; it's a mindset. It elevates investing from a game of chance to a disciplined, business-like operation. It forces you to think critically about both your wins and your losses, focusing on the quality of your decision-making process over the long term. A positive expectancy is the mathematical proof that you have a genuine edge in the market. It is the quiet confidence behind every successful long-term investment strategy.