Sökning: "Buyout Fund"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Buyout Fund.
1. Pursuit of Excess Returns: Deciphering Performance in European Buyout Funds A Detailed Exploration of Relative Returns and Their Determinants
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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. LÄS MER
2. Decoding the Winning Strategy - An in-depth study of Swedish closed-end funds
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : 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. LÄS MER
3. Experience as a Performance Driver in Private Equity: An Empirical Analysis of Buyout and Venture Capital Funds
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : 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. LÄS MER
4. Value Creation and Exits in Private Equity: A Case Study of Triton Partners' Investment in Eleda
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : 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. LÄS MER
5. Private Equity Fund Selection - A Machine Learning Approach
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : 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. LÄS MER