CRSP Survivor-Bias-Free US Mutual Fund Database

As the provider of the only complete database of both active and inactive mutual funds, CRSP leads the way in mutual fund research.

  • Initially developed by Mark M. Carhart of Goldman Sachs Asset Management for his 1995 dissertation entitled, “Survivor Bias and Persistence in Mutual Fund Performance” ​
  • Designed to facilitate research on the historical performance of open-ended mutual funds by using survivor-bias-free data​
  • Complete historical information for over 64,000 open-ended funds of which more than 33,000 are active and over 31,000 are delisted​

Key Features

The data begin at varying times between 1962 and 2008 depending on availability and include:

  • History of each mutual fund’s name
  • Fund investment style
  • Fee structure
  • Holdings beginning 2003
  • Asset allocation
  • Daily and monthly total returns
  • Daily and monthly net asset values (NAVs)
  • Monthly total net assets (TNA)
  • Dividends and distributions
  • Schedules of rear and front load fees
  • Asset class codes
  • Management company contact information
  • CRSP FUNDNO® – CRSP’s unique fund identifier

Documents & Resources

CRSP Survivor-Bias-Free US Mutual Fund Database Guide

User guide for a database which includes historical information for over 64,000 open-ended funds. The guide covers the data included in the database, data descriptions and code definitions

CRSP Survivor-Bias-Free US Mutual Fund Database Guide

User guide for CRSP Survivor-Bias-Free US Mutal Fund database flat files showing file details and types, available in SAS, ASCII & R file formats

Knowledge Base

Additional notes and FAQ about this product

Data Access Tools

Discover supported platforms for accessing CRSP data, including our Windows interface, flat file formats, command line tools and programming libraries, and several third-party partnerships

Release Notes

Quarterly & annual release notes

CRSP databases are characterized by their comprehensive corporate action information and highly accurate total return calculations.

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