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How to Calculate Your Expected Loss

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Determining your expected loss offers a clear method to estimate long-term financial exposure in uncertain scenarios


This isn’t meant to forecast a single outcome, but to reveal the statistical average across repeated events


To calculate expected loss, you need two key pieces of information


First, you need to know the probability of losing


This could be the chance of a bet failing, a stock dropping in value, or any other negative outcome


Second, you need to know the amount you stand to lose if that outcome occurs


Simply multiply the likelihood of loss by the potential loss amount


For example, if you place a bet where you have a 60 percent chance of losing and you risk 50 dollars, your expected loss is 0.60 times 50, which equals 30 dollars


This means that on average, for every time you make this bet, you can expect to lose 30 dollars


It is important to remember that expected loss is an average over many repetitions


Sometimes you’ll come out ahead; other times you’ll lose far more—but the long-term average will converge to this value


This concept is used in gambling, insurance, investing, and even business planning to assess risk


You can also use expected loss to compare different options


When comparing two opportunities, compute the expected loss for both and Link Slot Terpercaya opt for the option with the smaller loss figure


Don’t forget: it doesn’t capture fear, stress, or the risk of total financial collapse


Your financial limits and emotional threshold must inform how you interpret expected loss


Even if the average is manageable, a single large loss could still devastate your finances


Use this calculation as a tool to inform your choices, not as a guarantee of what will happen


Expected loss should be viewed alongside other critical metrics


Pair it with expected gain, volatility, and your long-term objectives for balanced judgment


Knowing your expected loss keeps you realistic and shields you from the illusion of success after brief wins

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