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The study aims to evaluate the effectiveness of various data sources for asset valuation and model back-testing.

Comparative analysis of data sources for back-testing cost estimation models

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The study aims to evaluate the effectiveness of various data sources for asset valuation and model back-testing.
Introduces the Asset Valuation Act (AVA) as a framework for capturing diverse valuation sources.
Outlines a taxonomy of AVA sources based on origin, observability, and bias risk.
Proposes standardization requirements for back-testing procedures.
Identifies that no single data source is adequate for asset valuation.
Confirms market data is timely but can be unreliable in illiquid conditions.
Highlights the necessity for strict controls on expert assessments to enhance data quality.

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Analysis demonstrates improved back-testing methods in asset valuation, enhancing comparison and reliability.

Ivan Lihenko (2025) studied this question.

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