Volatility Decay
Volatility Decay is also known as beta slippage or path dependency and is a mathematical phenomenon that affects all investments, but is particularly noticeable in leveraged ETFs.
The concept is often misunderstood and used as a the argument to avoid leveraged ETFs. In this guide, we'll explain what it is, how it works, and why it shouldn't be looked at in isolation.
The Basic Principle
When you're looking at a compounding investment, the order of returns matters more than the average return.
Let's start with a simple example using a regular (non-leveraged) investment:
Scenario: +25% followed by -20%
Initial Investment: $100.00
After +25%: $125.00 (Gain: $25.00)
After -20%: $100.00 (Loss: $25.00)
Average Daily Return: +2.5% ((+25% - 20%) ÷ 2)
Actual Total Return: 0%
Despite having a positive average daily return of +2.5%, the investment ends up exactly where it started. This demonstrates a fundamental principle: when dealing with percentage gains and losses, the sequence of returns matters more than the average return. Yep, we repeated that sentence. Because it is essential to understand.
Interactive Example
Experiment with different parameters to how they affect volatility decay.
Performance Comparison
- 2x Leveraged ETF
- Underlying Index
Underlying Return
Leveraged Return
Key Takeaways
What Volatility Decay Is
- A mathematical result of compounding returns
- Affects all investments, not just leveraged ones
- More pronounced with higher volatility
- Amplified by leverage
What Volatility Decay Isn't
- Not a "cost" or fee
- Not unique to leveraged ETFs
- Not a standalone reason or argument to avoid leveraged ETFs entirely
Next Steps
Now that you understand volatility decay, you might want to:
Learn About Expansion
Discover how the same mathematical principle can work in your favor.
Take me there
Try Backtesting
Test how leveraged ETFs would have performed in different market conditions.
Take me there
Understand Costs
Learn how leveraged ETFs are much more expensive than you might think.
Take me there