Both entry and exit prices are utilized in training the privateMetrics data. The privateMetrics asset pricing model is calibrated using a representative set of approximately 10,000 private market transactions, including both entry and exit transactions, since 2013. These transactions are collected from sources such as Pitchbook, Capital IQ, and fund manager annual reports. Key aspects of how entry and exit...

Yes, there are estimates for the aggregate number of transactions that have occurred within the Private Equity (PE) market over the preceding decade, as well as related details about transaction data within the privateMetrics database. Details on the number of PE transactions: Annual Buyout Transactions: Globally, the number of buyout transactions is approximately 4,000 to 6,000 annually. Frequency of Transactions:...

The frequency of observed transactions incorporated into the privateMetrics database is approximately 25 transactions per month. Between 2013 and 2022, over 300 transactions were observed annually. Scientific Infra & Private Assets (SIPA) uses these transactions to calibrate its asset pricing model monthly, allowing the indices to reflect newly obtained factor prices from these updates. Here’s a more detailed explanation: Monthly...

The privateMetrics® database is extensive, encompassing a wide range of private company data and valuation metrics. Here’s a breakdown of its magnitude and scale: Database Size and Coverage: Number of Companies: The database includes data on over 1 million private companies globally. As of September 2024, the Broad Private Market Universe (BMU) comprises 937,000 uniquely identified private companies. Geographic Coverage:...

The data used in Scientific Infra & Private Assets’ (SIPA) privateMetrics analysis originates from a combination of proprietary models, data aggregation, and a variety of third-party sources. This approach is designed to address the endemic lack of raw market data in private markets. Here’s a detailed breakdown: Transaction Price Dataset: SIPA collects a representative set of over 10,000 private market...

The privateMetrics database relies on several sources for transaction data and asset-level financial information. These include: Transaction Data Sources: PitchBook: Used for transaction data. Capital IQ: Used for transaction data. FactSet: Used for transaction data. Fund manager annual reports: Used for entry and exit values. Publicly available data:. News sources: Used for sourcing transaction information. Underlying Asset-Level Financial Statements and...