Expected Rate of Return Calculator

Expected Rate of Return Calculator

This tool calculates the expected (average) rate of return for an investment based on different possible future scenarios and their estimated probabilities.

Enter Scenarios

Understanding Expected Rate of Return

What is Expected Rate of Return?

The expected rate of return is the average return that an investor expects to receive over a period of time. It's calculated as a weighted average of the possible returns under different scenarios, with the weights being the probabilities of each scenario occurring.

Formula

The formula for Expected Rate of Return (E(R)) is:

E(R) = Σ (Return_i * Probability_i)

Where:

  • Return_i is the potential rate of return in scenario 'i'.
  • Probability_i is the likelihood (as a decimal or percentage) of scenario 'i' occurring.
  • Σ (Sigma) means "sum of".

The sum of probabilities for all scenarios must equal 1 (or 100%).

Importance

Calculating the expected rate of return helps investors and analysts estimate potential future performance under uncertainty. It's a key component in risk analysis and portfolio management, often used alongside measures like standard deviation (which quantifies volatility or risk).

Examples

Explore common scenarios and their expected returns:

Example 1: Simple Bull/Bear Case

Scenario: An investment could go up significantly or down moderately.

Inputs:

  • Scenario 1: Return +10%, Probability 70%
  • Scenario 2: Return -5%, Probability 30%

Calculation:
E(R) = (10% * 70%) + (-5% * 30%)
E(R) = (0.10 * 0.70) + (-0.05 * 0.30)
E(R) = 0.07 - 0.015 = 0.055

Result: Expected Rate of Return = 5.5%

Conclusion: Based on these probabilities, the expected average return is 5.5%.

Example 2: Three Possible Outcomes

Scenario: Three distinct possibilities: strong growth, moderate growth, or a loss.

Inputs:

  • Scenario 1: Return +15%, Probability 40%
  • Scenario 2: Return +5%, Probability 40%
  • Scenario 3: Return -10%, Probability 20%

Calculation:
E(R) = (15% * 40%) + (5% * 40%) + (-10% * 20%)
E(R) = (0.15 * 0.40) + (0.05 * 0.40) + (-0.10 * 0.20)
E(R) = 0.06 + 0.02 - 0.02 = 0.06

Result: Expected Rate of Return = 6.0%

Conclusion: Despite the possibility of a loss, the expected return is positive.

Example 3: High Chance of Moderate Gain

Scenario: A very likely scenario of modest gains with smaller chances of slightly better or worse outcomes.

Inputs:

  • Scenario 1: Return +8%, Probability 80%
  • Scenario 2: Return +2%, Probability 15%
  • Scenario 3: Return -1%, Probability 5%

Calculation:
E(R) = (8% * 80%) + (2% * 15%) + (-1% * 5%)
E(R) = (0.08 * 0.80) + (0.02 * 0.15) + (-0.01 * 0.05)
E(R) = 0.064 + 0.003 - 0.0005 = 0.0665

Result: Expected Rate of Return = 6.65%

Conclusion: A high probability for a moderate return leads to a good overall expected return.

Example 4: Possible Large Gain vs. More Likely Small Loss

Scenario: A high-risk, high-reward scenario where a big gain is possible but a small loss is more probable.

Inputs:

  • Scenario 1: Return +50%, Probability 10%
  • Scenario 2: Return -5%, Probability 90%

Calculation:
E(R) = (50% * 10%) + (-5% * 90%)
E(R) = (0.50 * 0.10) + (-0.05 * 0.90)
E(R) = 0.05 - 0.045 = 0.005

Result: Expected Rate of Return = 0.5%

Conclusion: The higher probability of the smaller loss significantly pulls down the expected return despite the potential for a large gain.

Example 5: Scenario with Zero Return

Scenario: Including a scenario where the investment simply breaks even.

Inputs:

  • Scenario 1: Return +12%, Probability 50%
  • Scenario 2: Return 0%, Probability 40%
  • Scenario 3: Return -3%, Probability 10%

Calculation:
E(R) = (12% * 50%) + (0% * 40%) + (-3% * 10%)
E(R) = (0.12 * 0.50) + (0 * 0.40) + (-0.03 * 0.10)
E(R) = 0.06 + 0 - 0.003 = 0.057

Result: Expected Rate of Return = 5.7%

Conclusion: A significant chance of zero return still results in a positive expected return due to the high probability of a positive scenario.

Example 6: All Probability on One Outcome

Scenario: A simplified situation where one outcome is certain (e.g., a bond paying a fixed rate).

Inputs:

  • Scenario 1: Return +7%, Probability 100%

Calculation:
E(R) = (7% * 100%)
E(R) = (0.07 * 1.00) = 0.07

Result: Expected Rate of Return = 7.0%

Conclusion: If an outcome is certain, the expected return is simply that outcome's return.

Example 7: Multiple Scenarios

Scenario: A more complex view with several potential outcomes and varied probabilities.

Inputs:

  • Scenario 1: Return +20%, Probability 20%
  • Scenario 2: Return +10%, Probability 30%
  • Scenario 3: Return +5%, Probability 25%
  • Scenario 4: Return 0%, Probability 15%
  • Scenario 5: Return -8%, Probability 10%

Calculation:
E(R) = (20% * 20%) + (10% * 30%) + (5% * 25%) + (0% * 15%) + (-8% * 10%)
E(R) = (0.20 * 0.20) + (0.10 * 0.30) + (0.05 * 0.25) + (0 * 0.15) + (-0.08 * 0.10)
E(R) = 0.04 + 0.03 + 0.0125 + 0 - 0.008 = 0.0745

Result: Expected Rate of Return = 7.45%

Conclusion: Combining multiple potential outcomes gives a comprehensive expected value.

Example 8: Decimal Probabilities

Scenario: Using more precise decimal probabilities.

Inputs:

  • Scenario 1: Return +10%, Probability 50.5%
  • Scenario 2: Return -5%, Probability 49.5%

Calculation:
E(R) = (10% * 50.5%) + (-5% * 49.5%)
E(R) = (0.10 * 0.505) + (-0.05 * 0.495)
E(R) = 0.0505 - 0.02475 = 0.02575

Result: Expected Rate of Return ≈ 2.58%

Conclusion: The calculator handles decimal inputs for returns and probabilities.

Example 9: Negative Expected Return

Scenario: A situation where the most likely outcomes are negative, leading to a negative expected value.

Inputs:

  • Scenario 1: Return +5%, Probability 30%
  • Scenario 2: Return -10%, Probability 70%

Calculation:
E(R) = (5% * 30%) + (-10% * 70%)
E(R) = (0.05 * 0.30) + (-0.10 * 0.70)
E(R) = 0.015 - 0.07 = -0.055

Result: Expected Rate of Return = -5.5%

Conclusion: The expected return can be negative if the potential losses, weighted by their probability, outweigh the potential gains.

Example 10: Input Validation Test (Will show error)

Scenario: What happens if probabilities don't sum to 100%?

Inputs:

  • Scenario 1: Return +10%, Probability 50%
  • Scenario 2: Return -5%, Probability 40%
  • Scenario 3: Return +2%, Probability 5%

Calculation: Total Probability = 50% + 40% + 5% = 95%

Result: The calculator will display an error message because the total probability is not 100%.

Conclusion: Ensure all possible outcomes are included and their probabilities accurately reflect the total certainty (100%).

Frequently Asked Questions

1. What does "Expected Rate of Return" mean?

It's the average outcome you'd expect if you could repeat the investment process many times under the given probabilities and returns. It's a forward-looking estimate, not a guarantee.

2. How is it calculated?

For each possible scenario, the potential return is multiplied by its probability (as a decimal). These results are then added together to get the total expected return.

3. Why do the probabilities need to add up to 100%?

The probabilities must cover all possible outcomes. If they don't sum to 100%, you haven't accounted for every potential result, or you've double-counted, making the calculation invalid.

4. Can I include a scenario with a 0% return?

Yes, you can and should include scenarios where the investment neither gains nor loses value if that is a realistic possibility.

5. Can I include negative returns?

Absolutely. Potential losses are common scenarios in investing and must be included with their probabilities to get a realistic expected return.

6. How do I add or remove scenarios in the calculator?

Click the "Add Scenario" button to add a new row of input fields. Click the "Remove" button next to a specific row to delete that scenario. You must always have at least one scenario.

7. Is this the only way to estimate returns?

No, this is a basic probabilistic approach. Other methods include historical average returns, required rate of return (based on risk and market conditions), or using financial models.

8. Does Expected Return tell me the investment's risk?

Expected return measures the potential average outcome. Risk is often measured by the dispersion or volatility of the potential returns around that expected return (e.g., using standard deviation or variance). A higher expected return often comes with higher risk (more variability in outcomes).

9. Can I use this for any type of investment?

The concept applies to any investment where you can define potential future outcomes and their probabilities. This could include stocks, bonds, real estate, or even business projects, although determining accurate probabilities can be challenging.

10. Is this tool professional financial advice?

No, this calculator is for educational purposes only to illustrate the calculation of expected return. Investment decisions should be based on thorough research and consultation with a qualified financial advisor.

Ahmed mamadouh
Ahmed mamadouh

Engineer & Problem-Solver | I create simple, free tools to make everyday tasks easier. My experience in tech and working with global teams taught me one thing: technology should make life simpler, easier. Whether it’s converting units, crunching numbers, or solving daily problems—I design these tools to save you time and stress. No complicated terms, no clutter. Just clear, quick fixes so you can focus on what’s important.

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