Enter Values
Model Assumptions
- Illustrative fixed cash-rate assumption (does not update automatically)
- Recency bias modeled as one period of cash avoidance followed by re-entry
- Buy-and-hold assumes no behavioral interruption
- Returns are nominal annual (no inflation adjustment)
- No taxes, fees, or transaction costs modeled
Results
Portfolio Growth Comparison
Note: The recency-biased path rises more slowly during the cash period (at 4.5%) before re-entering the market.
Sensitivity: Years in Cash
How the behavior gap scales with time spent in cash (all other inputs held constant):
| Years in Cash | Buy-Hold FV | Recency FV | Behavior Gap | Annual Diff |
|---|
Formula Breakdown
Understanding Recency Bias in Investing
What is Recency Bias?
Recency bias is the cognitive tendency to place more weight on recent events than earlier ones. In investing, this manifests as fleeing to cash after market downturns (because recent losses feel like they will continue) or chasing recent winners (because recent gains feel permanent).
This calculator focuses on the first pattern: the cost of moving to cash after bad news and missing the subsequent recovery.
The dollar cost of poor timing decisions
Two Investment Paths
Buy-and-Hold
Stay invested through volatility.
Captures full market returns over the entire horizon. No behavioral interruption.
Recency-Biased
Exit to cash after downturns.
Earns only the cash rate during avoidance period, then re-enters at a lower base.
Strategies to Combat Recency Bias
- Dollar-Cost Averaging: Automatic investing removes timing decisions entirely.
- Written Investment Policy: Pre-commit to your strategy before emotions run high.
- Longer Time Horizons: Short-term volatility matters less over 20+ years.
- Diversification: Smoother returns reduce panic triggers.
Frequently Asked Questions
Disclaimer
For educational purposes. Not financial advice. Market conventions simplified. This calculator uses a fixed cash rate assumption and models a single cash avoidance period. Actual returns depend on market conditions, timing, taxes, fees, and other factors not modeled here.
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Course by Ryan O'Connell, CFA
Portfolio Analytics & Risk Management
Master portfolio construction, risk metrics, and behavioral finance principles to make better investment decisions.
- Modern portfolio theory and optimization
- Behavioral finance and investor psychology
- Risk metrics: VaR, tracking error, drawdown
- Practical portfolio construction techniques