What Is Sensitivity Analysis and Why Is It Crucial for Crypto Forecasts?

Sensitivity analysis is a modeling technique that determines how different values of an independent variable (e.g. discount rate, growth rate, transaction volume) affect a particular dependent variable (the token's intrinsic value). It is crucial for crypto because of the high uncertainty in forecasting.

By creating a range of scenarios (best-case, base-case, worst-case), investors can understand the margin of safety and the key drivers of the valuation, rather than relying on a single, potentially flawed point estimate.

How Does the Lack of Standardized Expiration Dates in Some Crypto Options Affect Their Valuation and Risk?
How Does the Liquidity of a Token Influence the Choice of Its Discount Rate?
How Does Monte Carlo Simulation Enhance Traditional Sensitivity Analysis?
How Does the Volatility of the Underlying Asset Affect the Valuation of a Crypto Option?
How Is a ‘Margin of Safety’ Defined in Crypto Valuation?
Is Leverage a Fixed or Variable Factor in a Trade?
What Is the Difference between Sensitivity Analysis and Scenario Analysis?
How Do Stress Tests Help Determine the Adequacy of a Default Waterfall?

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