Details

Modern Asset Allocation for Wealth Management


Modern Asset Allocation for Wealth Management


Wiley Finance 1. Aufl.

von: David M. Berns

25,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 09.04.2020
ISBN/EAN: 9781119567004
Sprache: englisch
Anzahl Seiten: 144

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Beschreibungen

<p><b>An authoritative resource for the wealth management industry that bridges the gap between modern perspectives on asset allocation and practical implementation</b></p> <p>An advanced yet practical dive into the world of asset allocation<i>, Modern Asset Allocation for Wealth Management</i> provides the knowledge financial advisors and their robo-advisor counterparts need to reclaim ownership of the asset allocation component of their fiduciary responsibility. Wealth management practitioners are commonly taught the traditional mean-variance approach in CFA and similar curricula, a method with increasingly limited applicability given the evolution of investment products and our understanding of real-world client preferences. Additionally, financial advisors and researchers typically receive little to no training on how to implement a robust asset allocation framework, a conceptually simple yet practically very challenging task. This timely book offers professional wealth managers and researchers an up-to-date and implementable toolset for managing client portfolios. </p> <p>The information presented in this book far exceeds the basic models and heuristics most commonly used today, presenting advances in asset allocation that have been isolated to academic and institutional portfolio management settings until now, while simultaneously providing a clear framework that advisors can immediately deploy. This rigorous manuscript covers all aspects of creating client portfolios: setting client risk preferences, deciding which assets to include in the portfolio mix, forecasting future asset performance, and running an optimization to set a final allocation. An important resource for all wealth management fiduciaries, this book enables readers to:</p> <ul> <li>Implement a rigorous yet streamlined asset allocation framework that they can stand behind with conviction</li> <li>Deploy both neo-classical and behavioral elements of client preferences to more accurately establish a client risk profile</li> <li>Incorporate client financial goals into the asset allocation process systematically and precisely with a simple balance sheet model</li> <li>Create a systematic framework for justifying which assets should be included in client portfolios</li> <li>Build capital market assumptions from historical data via a statistically sound and intuitive process</li> <li>Run optimization methods that respect complex client preferences and real-world asset characteristics</li> </ul> <p><i>Modern Asset Allocation for Wealth Management</i> is ideal for practicing financial advisors and researchers in both traditional and robo-advisor settings, as well as advanced undergraduate and graduate courses on asset allocation.</p>
<p>Preface vii</p> <p>Acknowledgments xiii</p> <p><b>Chapter 1 Preliminaries 1</b></p> <p>Expected Utility 2</p> <p>Introduction 2</p> <p>MPT is an Approximation 5</p> <p>Higher Moment Motivation 8</p> <p>Modernized Preference Motivation 13</p> <p>A Modern Utility Function 15</p> <p>Returns-Based EU Maximization 21</p> <p>Estimation Error 23</p> <p>Introduction 23</p> <p>Minimizing Estimation Error 24</p> <p>Reducing Sensitivity to Estimation Error 28</p> <p>A Modern Definition of Asset Allocation 30</p> <p><b>Chapter 2 The Client Risk Profile 33</b></p> <p>Introduction 33</p> <p>Measuring Preferences 34</p> <p>Risk Aversion 34</p> <p>Loss Aversion 39</p> <p>Reflection 41</p> <p>Lottery Question Sizing 43</p> <p>Incorporating Goals 43</p> <p>Preference Moderation via SLR 43</p> <p>Discretionary Wealth 48</p> <p>Comparison with Monte Carlo 51</p> <p>Comparison with Glidepaths 52</p> <p><b>Chapter 3 Asset Selection 55</b></p> <p>Introduction 55</p> <p>Moment Contributions 57</p> <p>Overview 57</p> <p>Calculation 59</p> <p>Utility Contribution 62</p> <p>Mimicking Portfolios 63</p> <p>A New Asset Class Paradigm 66</p> <p>Overview 66</p> <p>A Review of Risk Premia 67</p> <p>From Assets to Asset Classes 73</p> <p><b>Chapter 4 Capital Market Assumptions 79</b></p> <p>Introduction 79</p> <p>Using History as Our Forecast 81</p> <p>Background 81</p> <p>Estimation Error and Sample Size 83</p> <p>Stationarity: Does History Repeat? 89</p> <p>Adjusting Forecasts 91</p> <p>Pre-Tax Adjustments 91</p> <p>Post-Tax Adjustments 93</p> <p><b>Chapter 5 Portfolio Optimization 97</b></p> <p>Introduction 97</p> <p>Optimization Results 98</p> <p>To MPT or Not to MPT? 103</p> <p>Asset Allocation Sensitivity 105</p> <p>Final Remarks 109</p> <p>Bibliography 111</p> <p>Index 113</p>
<p><b>DAVID M. BERNS, P<small>H</small>D,</b> is the Chief Investment Officer and cofounder of Simplify ETFs where he leads the development of novel investment strategies that help advisors produce better outcomes for their clients. David began his finance career at a $5 billion multi-family office where he developed cutting-edge asset allocation, portfolio management, and risk management systems for managing private and institutional wealth across both liquid and illiquid asset classes. David then pivoted to developing short- and intermediate-term investment strategies that, once layered on top of a client's long-term strategic asset allocation, improve both return and risk metrics. David is also the founder and inventor of Portfolio Designer, a cloud-based asset allocation platform empowering advisors to reclaim the asset allocation component of their fiduciary responsibility. <p>David has a PhD in Physics from the Massachusetts Institute of Technology in the field of Quantum Computation and currently lives in New York City with his wife Carolee and son Henry.
<p><b>Praise for Modern Asset Allocation for Wealth Management</b> <p>"<i>Modern Asset Allocation for Wealth Management</i> succeeds in its ambitious goal of making asset allocation more intuitive and practical. By accounting for behavioral biases, psychometric testing, and financial goals, to name a few, David Berns enables advisors to implement asset allocation systematically with a sound scientific underpinning. This is a must read for any advisor who wants to truly understand why we invest the way we do and how best to work with clients."<br> —Michael Pompian, CFA, CAIA, CFP, founder and CIO, Sunpointe Investments; author of <i>Behavioral Finance and Wealth Management</i> <p>"Historically, Modern Portfolio Theory (MPT) has been an insightful—but utterly useless—tool of modern finance. David Berns flips this situation around and outlines exactly how investors can make MPT great again. I learned so much from this book. Read it."<br> —Wesley R. Gray, PhD, CEO, Alpha Architect; co-author of <i>Quantitative Value</i> and<i> Quantitative Momentum</i> <p>"David Berns has blazed a trail through the wilderness that lies between the practical challenges of wealth management and the leading edge of quantitative finance. Along the way, readers will learn innovative strategies to confront diverse investor preferences, taxes, risk premia strategies, estimation error, non-normal distributions, and many other real-world challenges. This pioneering guide is rigorous, clear, and relevant. No wealth manager should leave home without it."<br> —Will Kinlaw, Senior Managing Director and Head, State Street Associates; co-author of <i>A Practitioner's Guide to Asset Allocation</i> <p>"<i>Modern Asset Allocation for Wealth Management</i> smartly incorporates behavioral theory to improve client risk preference assessment. The realization that clients don't require the textbook version of an optimal portfolio, and that financial planners should focus on creating a portfolio that clients will stick with during down markets, is an important contribution to the advancement of wealth management."<br> —Michael Guillemette, PhD, CFP, Professor of Personal Financial Planning, Texas Tech University

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