全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Spread-Based Direct Alpha (SBDA) as a Performance Measure for PE Funds

DOI: 10.4236/jmf.2023.133024, PP. 380-393

Keywords: PE Funds, Public Market Equivalent (PME), Direct Alpha, Spread Based Direct Alpha (SBDA), Performance Measurement

Full-Text   Cite this paper   Add to My Lib

Abstract:

In this study, we explore the Public Market Equivalent (PME) as a measure of Private Equity (PE) fund performance relative to the listed market. While various PME methods exist, the “direct alpha method” has been identified as the superior approach. However, concerns arise regarding its suitability from a financial theory perspective, given its derivation process and the questions surrounding its role as a performance measurement method for PE funds relative to listed markets. To address these issues, we propose a novel and more accurate measurement method, the Spread Based Direct Alpha (SBDA), along with a technique for deriving the alpha amount based on SBDA, enabling a more precise comparison of PE fund performance against traditional assets.

References

[1]  Government Pension Investment Fund (2022) Annual Report Fiscal Year 2021.
[2]  BVCA’s Limited Partner Committee and Investor Relation Advisory Group (2015) Private Equity Performance Measurement (BVCA Perspectives Series).
[3]  Long, A.M. and Nickeles, C.J. (1996) A Private Investment Benchmark. Working Paper.
[4]  Rouvinez, C. (2003) Private Equity Benchmarking with PME+. Venture Capital Journal, 34-38.
[5]  Cambridge Associates (2013) Private Equity and Venture Capital Benchmark—An Introduction for Readers of Quarterly Commentaries.
[6]  Gredi, O.R., Griffiths, B. and Stucke, R. (2014) Benchmarking Private Equity: The Direct Alpha Method. Journal of Corporate Finance, 81, Article ID: 102360.
https://doi.org/10.2139/ssrn.2403521
[7]  Shiraki, S. and Miyata, S. (2018) Comparison of Performance Measurements of Private Equity Fund Investments. Securities Analysts Journal, 10, 42-52. (In Japanese)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133