Kurtosis
Calculates the kurtosis (fourth moment) of portfolio returns, measuring the "tailedness" of the distribution.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| Portfolio | string | Yes | Comma-separated list of ticker symbols |
| Period | string | Yes | Time period (1Y, 3Y, 5Y, etc.) |
Interpretation
- Kurtosis = 3: Normal distribution (mesokurtic)
- Kurtosis > 3: Fat tails, more extreme events (leptokurtic)
- Kurtosis < 3: Thin tails, fewer extreme events (platykurtic)
Examples
When to Use
- Tail risk analysis
- Extreme event probability
- Risk management beyond VaR
- Distribution shape analysis
When NOT to Use
| Scenario | Use Instead |
|---|---|
| Skewness analysis | Skewness() |
| Average returns | MeanReturns() |
| Drawdown analysis | Drawdowns() |
Common Issues & FAQ
Q: What does high kurtosis mean? A: Higher probability of extreme returns (both positive and negative) compared to normal distribution.
