Limited data is the financial modeler’s biggest challenge. Making assumptions about risk is tough enough under the best of circumstances. All too often it’s even tougher when the historical record is thin. There are several ways to manage this challenge, including bootstrapping, aka resampling the available data to create historical records that might have occurred. Nothing’s perfect, of course, but bootstrapping can be a powerful tool for stress testing portfolios and developing robust assumptions about risk.
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