Details

The Art of Commitment Pacing


The Art of Commitment Pacing

Engineering Allocations to Private Capital
The Wiley Finance Series 1. Aufl.

von: Thomas Meyer

46,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 31.05.2024
ISBN/EAN: 9781394159611
Sprache: englisch
Anzahl Seiten: 320

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Beschreibungen

<p><b>Advanced guidance for institutional investors, academics, and researchers on how to manage a portfolio of private capital funds</b></p> <p><i>The Art of Commitment Pacing: Engineering Allocations to Private Capital</i> provides a much-needed analysis of the issues that face investors as they incorporate closed ended-funds targeting illiquid private assets (such as private equity, private debt, infrastructure, real estate) into their portfolios. These private capital funds, once considered "alternative" and viewed as experimental, are becoming an increasingly standard component of institutional asset allocations.  </p> <p>However, many investors still follow management approaches that remain anchored in the portfolio theory for liquid assets but that often lead to disappointing results when applied to portfolios of private capital funds where practically investors remain committed over nearly a decade.  </p> <p>When planning for such commitments, investment managers and researchers are faced with practical questions such as:  </p> <ul> <li>How to measure and control the real exposure to private assets? </li> <li>How to forecast cash-flows for commitments to private capital funds?  </li> <li>What ranges for their returns and lifetime are realistic, and how can the investor’s skill be factored in?  </li> <li>Over which dimensions should a portfolio be diversified and how much diversification is enough? </li> <li>How can the impact of co-investments or secondaries be modelled? </li> <li>How to design pacing plans that lead to resilient and efficient portfolios? </li> <li>What stress scenarios should be considered and how can they be applied? </li> </ul> <p><br />These are just examples of the many questions for which answers are provided. <i>The Art of Commitment Pacing</i> describes established and new methodologies for building up and controlling allocations to such investments. This book offers a systematic approach for building up and controlling allocations to such investments. </p> <p><i>The Art of Commitment Pacing</i> is a valuable addition to the libraries of investment managers, as well as portfolio and risk managers involved in institutional investment. The book will also be of interest to advanced students of finance, researchers, and other practitioners who require a detailed understanding of forecasting and portfolio management methodologies. </p>
<p>Acknowledgments xiii</p> <p><b>Chapter 1 Introduction 1</b></p> <p>Scope of the book 1</p> <p>Quick glossary 2</p> <p>The challenge of private capital 2</p> <p>Risk and uncertainty 3</p> <p>Why do we need commitment pacing? 4</p> <p>Illiquidity 4</p> <p>The siren song of the secondary market 4</p> <p>How does commitment pacing work? 5</p> <p>Significant allocations needed 7</p> <p>Multi‐asset‐class allocations 8</p> <p>Intra‐asset‐class diversification 8</p> <p>Engineering a resilient portfolio 9</p> <p>Organisation of the book 10</p> <p><b>Chapter 2 Institutional Investing in Private Capital 15</b></p> <p>Limited partnerships 15</p> <p>Structure 16</p> <p>Criticism 18</p> <p>Costs of intermediation 18</p> <p>Inefficient fund raising 18</p> <p>Addressing uncertainty 19</p> <p>Conclusion 19</p> <p><b>Chapter 3 Exposure 21</b></p> <p>Exposure definition 21</p> <p>Layers of investment 23</p> <p>Net asset value 23</p> <p>Undrawn commitments 24</p> <p>Commitment risk 24</p> <p>Timing 24</p> <p>Classification 25</p> <p>Exposure measures – LP’s perspective 25</p> <p>Commitment 26</p> <p>Commitment minus capital repaid 26</p> <p>Repayment‐age‐adjusted commitment 27</p> <p>Exposure measures – fund manager’s perspective 28</p> <p>Ipev Nav 28</p> <p>IPEV NAV plus uncalled commitments 29</p> <p>Repayment‐age‐adjusted accumulated contributions 30</p> <p>Summary and conclusion 31</p> <p><b>Chapter 4 Forecasting Models 37</b></p> <p>Bootstrapping 37</p> <p>Machine learning 38</p> <p>Takahashi–Alexander model 40</p> <p>Model dynamics 40</p> <p>Strengths and weaknesses 46</p> <p>Variations and extensions 47</p> <p>Stochastic models 49</p> <p>Stochastic modelling of contributions, distributions, and NAVs 49</p> <p>Comparison 50</p> <p>Conclusion 51</p> <p><b>Chapter 5 Private Market Data 53</b></p> <p>Fund peer groups 53</p> <p>Organisation of benchmarking data 53</p> <p>Bailey criteria 54</p> <p>Data providers 55</p> <p>Business model 55</p> <p>Public route 55</p> <p>Voluntary provision 56</p> <p>Problem areas 56</p> <p>Biases 57</p> <p>Survivorship bias 57</p> <p>Survivorship bias in private markets 58</p> <p>Impact 58</p> <p>Conclusion 59</p> <p><b>Chapter 6 Augmented TAM – Outcome Model 61</b></p> <p>From TAM to stochastic forecasts 61</p> <p>Use cases for stochastic cash‐flow forecasts 62</p> <p>Funding risk 62</p> <p>Market risk 65</p> <p>Liquidity risk 65</p> <p>Capital risk 66</p> <p>Model architecture 66</p> <p>Outcome model 67</p> <p>Pattern model 67</p> <p>Portfolio model 68</p> <p>System considerations 68</p> <p>Semi‐deterministic TAM 68</p> <p>Adjusting ranges for lifetime and TVPI 70</p> <p>Ranges for fund lifetimes 71</p> <p>Ranges for fund TVPIs 73</p> <p>Picking samples 76</p> <p>Constructing PDF for TVPI based on private market data 78</p> <p>A1*TAM results 82</p> <p><b>Chapter 7 Augmented TAM – Pattern Model 85</b></p> <p>A2*tam 86</p> <p>Reactiveness of model 86</p> <p>Model overview 87</p> <p>Changing granularity 89</p> <p>Injecting randomness 89</p> <p>Setting frequency of cash flows 90</p> <p>Setting volatility for contributions 92</p> <p>Setting volatility for distributions 94</p> <p>Scaling and re‐ picking cash‐ flow samples 94</p> <p>Convergence A2*TAM to TAM 95</p> <p>Split cash flows in components 97</p> <p>Fees 98</p> <p>Fixed returns 102</p> <p>Cash‐ flow‐ consistent NAV 103</p> <p>Principal approach 103</p> <p>First contributions, then distributions 103</p> <p>Forward pass 104</p> <p>Backward pass 104</p> <p>Combination 104</p> <p>Summary 105</p> <p><b>Chapter 8 Modelling Avenues into Private Capital 109</b></p> <p>Primary commitments 109</p> <p>Modelling fund strategies 110</p> <p>Parameter as suggested by Takahashi and Alexander (2002) 110</p> <p>Further findings on parameters 113</p> <p>Basing parameters on comparable situations 113</p> <p>Funds of funds 114</p> <p>Secondary buys 114</p> <p>Secondary FOFs 116</p> <p>Co‐investments 118</p> <p>Basic approach 118</p> <p>Co‐investment funds 119</p> <p>Syndication 119</p> <p>Side funds 119</p> <p>Impact on portfolio 120</p> <p><b>Chapter 9 Modelling Diversification for Portfolios of Limited Partnership Funds 123</b></p> <p>The LP diversification measurement problem 123</p> <p>Fund investments 124</p> <p>Diversification or skills? 124</p> <p>Aspects of diversification 125</p> <p>A (non‐ESG‐compliant) analogy 125</p> <p>Commitment efficiency 126</p> <p>Exposure efficiency 126</p> <p>Outcome assessment 126</p> <p>Diversifying commitments 127</p> <p>Assigning funds to clusters 127</p> <p>Diversification dimensions 128</p> <p>Self‐proclaimed definitions 128</p> <p>Market practices 128</p> <p>The importance of diversification over vintage years 129</p> <p>Other dimensions and their impact on risks 129</p> <p>Include currencies? 130</p> <p>Definitions 131</p> <p>Styles 131</p> <p>Classification groups 132</p> <p>Style drifts 133</p> <p>Robustness of classification schemes 133</p> <p>Modelling vintage year impact 134</p> <p>Commitment efficiency 135</p> <p>Importance of clusters 135</p> <p>Partitioning into clusters 136</p> <p>Measurement approach 137</p> <p>Remarks 139</p> <p>Mobility barriers 139</p> <p>Similarity is a measure for barriers to switching between classes 140</p> <p>Similarity is not correlation 140</p> <p>Is there an optimum diversification? 141</p> <p>How many funds? 141</p> <p>Costs of diversification 141</p> <p>How to set a ‘satisficing’ number of funds? 143</p> <p>Portfolio impact 143</p> <p>Commitment efficiency timeline 143</p> <p>Portfolio‐level forecasts 143</p> <p>Appendix A – Determining similarities 145</p> <p>Appendix B – Geographical similarities 146</p> <p>Geographical diversification for private capital 146</p> <p>Regional groups 146</p> <p>Trade blocs 147</p> <p>Transport way connection 148</p> <p>Language barriers 148</p> <p>Limits to geography as diversifier 148</p> <p>Appendix C – Multi‐strategies and others 149</p> <p>Appendix D – Industry sector similarities 149</p> <p>Appendix E – Strategy similarities 149</p> <p>Appendix F – Fund management firm similarities 150</p> <p>Appendix G – Investment stage similarities 151</p> <p>Appendix H – Fund size similarities 152</p> <p><b>Chapter 10 Model Input Data 155</b></p> <p>Categorical input data 155</p> <p>Perceptions 156</p> <p>Regulation 156</p> <p>Risk managers 157</p> <p>Can data be objective? 157</p> <p>Moving from weak to strong data 158</p> <p><b>Chapter 11 Fund Rating/Grading 161</b></p> <p>Private capital funds and ratings 161</p> <p>Fiduciary ratings 161</p> <p>Fund rankings 162</p> <p>Internal rating systems 162</p> <p>Further literature 163</p> <p>Private capital fund gradings 163</p> <p>Scope and limitations 163</p> <p>Selection skill model 164</p> <p>Assumptions for grading 165</p> <p>Prototype fund grading system 165</p> <p>Ex‐ante weights 166</p> <p>Expectation grades 166</p> <p>Risk grades 169</p> <p>Quantification 171</p> <p><b>Chapter 12 Qualitative Scoring 173</b></p> <p>Objectives and scope 173</p> <p>Relevant dimensions 174</p> <p>Investment style 175</p> <p>Management team 176</p> <p>Fund terms 177</p> <p>Liquidity and exits 178</p> <p>Incentive structure 178</p> <p>Alignment and conflicts of interest 180</p> <p>Independence of decision‐making 181</p> <p>Viability 181</p> <p>Confirmation 182</p> <p>Scoring method 183</p> <p>Tallying 183</p> <p>Researching practices 184</p> <p>Ex‐post monitoring 184</p> <p>Assigning grades 185</p> <p>Appendix – Search across several private market data providers 186</p> <p>Interoperability 186</p> <p>Matching 187</p> <p><b>Chapter 13 Quantification Based on Fund Grades 191</b></p> <p>Grading process 191</p> <p>Quartiling 191</p> <p>Quantiles 192</p> <p>Quartiling 193</p> <p>Approach 194</p> <p>Example – how tall will she be? 195</p> <p>Probabilistic statement 196</p> <p>Controlling convergence 196</p> <p>LP selection skills 198</p> <p>Impact of risk grade 201</p> <p>TVPI sampling 203</p> <p><b>Chapter 14 Bottom- up Approach to Forecasting 205</b></p> <p>Look‐ through 205</p> <p>Regulation 205</p> <p>Fund ratings 206</p> <p>Look‐ through in practice 206</p> <p>Bottom‐ up 207</p> <p>Stochastic bottom‐ up models 207</p> <p>Machine‐ learning‐ based bottom‐ up models 207</p> <p>Overrides 208</p> <p>Investment intelligence 208</p> <p>Advantages and restrictions 208</p> <p>Treatment as exceptions 209</p> <p>Integration of overrides in forecasts by a top‐ down model 209</p> <p>Probabilistic bottom‐ up 211</p> <p>Expert knowledge for probability density functions? 212</p> <p>Estimating ranges 212</p> <p>Combining top‐ down with bottom‐ up 214</p> <p><b>Chapter 15 Commitment Pacing 217</b></p> <p>Defining a pacing plan 217</p> <p>Pacing phases 218</p> <p>Ramp‐up phase 219</p> <p>Maintenance phase 219</p> <p>Ramp‐down phase 220</p> <p>Controlling allocations 221</p> <p>Simulating the pacing plan 221</p> <p>Ratio‐based commitment rules 222</p> <p>Dynamic commitments 222</p> <p>Pacing plan outcomes 222</p> <p>‘Slow and steady’ 223</p> <p>Accelerated pacing plan 223</p> <p>Liquidity constraints 224</p> <p>Impact on cash‐flow profile 224</p> <p>Impact of commitment types 225</p> <p>Maintenance phase 228</p> <p>Recommitments 229</p> <p>Target NAV 229</p> <p>Cash‐flow matching 230</p> <p>Additional objectives and constraints 231</p> <p>Commit to high‐quality funds 231</p> <p>Achieve intra‐asset diversification 231</p> <p>Minimise opportunity costs 233</p> <p>Satisficing portfolios 233</p> <p>Conclusion 234</p> <p><b>Chapter 16 Stress Scenarios 235</b></p> <p>Make forecasts more robust 235</p> <p>Communication 235</p> <p>Specific to portfolio 236</p> <p>Impact of ‘Black Swans’ 236</p> <p>Interest rates and inflationary periods 237</p> <p>Modelling crises 238</p> <p>Delay of new commitments 238</p> <p>Changes in contribution rates 238</p> <p>Changes in distributions 239</p> <p>NAV impact and secondary transactions 240</p> <p>Lessons 240</p> <p>Building stress scenarios 241</p> <p>Market replay 241</p> <p>Varying outcomes 242</p> <p>Foreign exchange rates 244</p> <p>Varying portfolio dependencies 244</p> <p>Increasing and decreasing outcome dependencies 244</p> <p>Increasing and decreasing cash‐flow dependencies 247</p> <p>Blanking out periods of distributions 247</p> <p>Varying patterns 248</p> <p>Stressing commitments 249</p> <p>Extending and shortening of fund lifetimes 250</p> <p>Front‐loading and back‐loading of cash flows 251</p> <p>Foreign exchange rates and funding risk 251</p> <p>Increasing and decreasing frequency of cash flows 253</p> <p>Increasing and decreasing volatility of cash flows 254</p> <p>Conclusion 256</p> <p><b>Chapter 17 The Art of Commitment Pacing 259</b></p> <p>Improved information technology 259</p> <p>Direct investments 260</p> <p>Use of artificial intelligence 260</p> <p>Risk of private equity 261</p> <p>Securitisations 261</p> <p>Judgement, engineering, and art 262</p> <p>Abbreviations 263</p> <p>Glossary 267</p> <p>Biography 275</p> <p>Bibliography 277</p> <p>Index 289</p>
<p> <B>THOMAS MEYER, </B> is the co-author of <i>Beyond the J Curve </i>(translated into Chinese, Japanese, and Vietnamese), <i>J Curve Exposure</i>, <i>Mastering Illiquidity </i>(all by Wiley), and two CAIA books, which are required reading for Level II of the Chartered Alternative Investment Analyst ® Program. He authored <i>Private Equity Unchained </i>(by Palgrave MacMillan).
<p><b><small>PRAISE FOR</small> <BR> THE ART OF COMMITMENT PACING</b> <p> “Every institutional investor should read Meyer’s <i>The Art of Commitment Pacing</i>, the only book systematically discussing the challenges in allocating to private capital, a lumpy, illiquid, and opaque asset class. Meyer eloquently provides state-of-the-art practical solutions to help asset allocators build up and maintain allocations to private assets. This book is an essential guide to an institutional asset allocator’s most important decision.” <BR> <b>—Hossein Kazemi,</b> Ph.D., CFA, Philipp Professor of Finance at Isenberg School of Management, Editor of the Journal of Alternative Investments, and Senior Advisor to the CAIA Association and the FDP Institute <p>“Private markets are now a staple of institutional asset allocations. As a result, fundamental questions have come to the fore that academic literature has fallen short of addressing. Thomas Meyer offers practical solutions, the perfect mix of theoretical and practical insights, in a series of synthetic and accessible chapters for knowledgeable practitioners. This is well-invested time that will pay off over the long term.” <BR> <b>—Cyril Demaria,</b> Head of Private Market Strategy at Julius Bär, Affiliate Professor at EDHEC, Author of Asset Allocation and Private Markets, and Introduction to Private Equity, Debt and Real Assets <p>“This book is a game-changer for investors in private capital, offering unprecedented insights and practical models to master commitment pacing and risk management.” <BR> <b>—Jason Scharfman,</b> Managing Partner Corgentum Consulting. <p>“Thomas has condensed the art and science of commitment pacing into a rigorous yet pragmatic guide, filling a huge gap in the finance literature - a must read for all LPs.” <BR> <b>—Andrea Carnelli Dompé, PhD. CEO & Co-founder - Tamarix Technologies </b> <p>“Commitment pacing is one of the hidden gems in the toolbox of every private equity fund manager. Historically it has lagged in terms of research and literature focus versus fund manager selection or due diligence. Thomas Meyer levels the playing field by focusing on this often overlooked subject. If you want to move from simplistic commitment pacing models to rigorous forecasting in a portfolio of private equity funds, this is a book for you.” <BR> <b>—Ignacio Larrú Martínez, General Partner at Kanoar Ventures SGEIC, SA </b> <p>“With the growing allocation to private equity by Japanese institutional investors, <i>The Art of Commitment Pacing </i>provides a very useful weapon for them to build a sophisticated investment program. We live in a volatile investment environment and managing a private equity portfolio that lacks liquidity is not an easy task. This book helps investors to overcome their challenges.” <BR> <b>—Kazushige Kobayashi, Managing Director, MCP Asset Management </b> <p>“Thomas Meyer delves into the critical risk associated with Private Capital: its inherent illiquidity. Expanding on the concepts introduced in his previous best-selling works, Thomas offers an in-depth exploration of this risk. He provides essential strategies, including commitment pacing, to safeguard institutional investors against potential significant upheavals. This book is an indispensable guide for every investor in private capital looking to optimize their success.” <BR> <b>—Pierre-Yves Mathonet,</b> Former Head of Risk, Private Equities Department, Abu Dhabi Investment Authority and former Head of Division, Risk Management, Private Equity, European Investment Fund

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