Similarity-Based Valuation
The Doppelganger
The “Doppelganger” is an automated valuation technique designed for unlisted companies.
It identifies the most similar publicly listed companies using big data and applies valuation multiples in reverse to estimate the company’s value.
Mechanism
Setting Comparison Criteria
The algorithm analyzes the data of listed companies to establish the comparison criteria needed to identify similar companies, considering factors such as industry, technology, business scale, and performance.
Matching Similar Companies
Based on the comparison criteria set earlier, the AI model selects the most similar publicly listed companies to the unlisted company for which the potential price is to be estimated.
Valuation Multiple Application
By applying valuation multiples such as PER, PBR, PCR, PSR from similar listed companies in reverse, the model estimates the potential price range for the company.
Key Cases
Contract
Hankyung TV
2017.06
Conducted the “unlisted stock solution” joint project with Korea Economic TV.
