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Massachusetts Institute of Technology

Private equity fund valuation management during fundraising

Abstract

dc:description.abstract

I investigate whether and how private equity fund managers (GPs) inflate their interim fund valuations (net asset values or NAVs) during fundraising periods. Specifically, I study the extent to which the GPs inflate NAVs by managing valuation assumptions (e.g., valuation multiples), influencing the financial metrics (e.g., EBITDA and sales) reported by the private firms in their portfolios, or both. Using a sample of buyout funds and their portfolio firms in Europe, I find that funds managed by low reputation GPs show more dramatic forms of NAV inflation by managing upward not only valuation multiples but also portfolio firm performance. The results are robust to a number of alternative explanations. Low reputation funds that employ some form of real earnings management show success in fundraising. Overall, I illustrate the mechanisms behind inflated fund valuations during fundraising periods and provide evidence supporting the argument that low reputation GPs are more likely manipulating NAVs than timing fundraising periods.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Baik, Brian (Kunho)
Advisor dc:contributor.advisor
  • Verdi, Rodrigo S.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/144563
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/144563

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Baik, Brian (Kunho). Private equity fund valuation management during fundraising. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/144563