Essays about: "Buyout Fund"
Showing result 1 - 5 of 17 essays containing the words Buyout Fund.
-
1. Pursuit of Excess Returns: Deciphering Performance in European Buyout Funds A Detailed Exploration of Relative Returns and Their Determinants
University essay from Göteborgs universitet/Graduate SchoolAbstract : This paper investigates the relative performance of European buyout funds compared to public markets. Using a sample of mature buyout funds, obtained from European limited partners, with vintages between 1995 and 2013, we find that a European buyout fund, on average, outperforms the STOXX Europe 600 index by 52% over its lifetime. READ MORE
-
2. Decoding the Winning Strategy - An in-depth study of Swedish closed-end funds
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : The predictability of stock returns, prediction of buyout targets and value creation by activist owners are well-researched areas. However, Swedish closed-end funds' outstanding performance has received little attention. READ MORE
-
3. Experience as a Performance Driver in Private Equity: An Empirical Analysis of Buyout and Venture Capital Funds
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This thesis analyses the impact of a Private Equity firm's experience on fund performance. It draws on a manually extended data set from Preqin, consisting of 413 liquidated Buyout and Venture Capital funds from North America and Europe with Vintage years between 1980 and 2012. READ MORE
-
4. Value Creation and Exits in Private Equity: A Case Study of Triton Partners' Investment in Eleda
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : In this paper we analyse Triton Partners' investment in Eleda. Eleda is an infrastructure service group established by Triton in 2017 through a roll-up in the Swedish excavation service market. READ MORE
-
5. Private Equity Fund Selection - A Machine Learning Approach
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This paper aims to build a prediction model using machine learning (ML) algorithms to offer decision support for private equity investors - limited partners (LPs) in their fund selection process. Past literature has studied a range of factors that appear to drive the performance of private equity funds; some of these factors are known to LPs during fundraising such as targeted fund size, management experience, fund specialization level, state of the industry, and the overall economy. READ MORE