Advanced Portfolio Management

Advanced Portfolio Management
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Описание книги

You have great investment ideas. If you turn them into highly profitable portfolios, this book is for you. Advanced Portfolio Management: A Quant’s Guide for Fundamental Investors is for fundamental equity analysts and portfolio managers, present, and future. Whatever stage you are at in your career, you have valuable investment ideas but always need knowledge to turn them into money. This book will introduce you to a framework for portfolio construction and risk management that is grounded in sound theory and tested by successful fundamental portfolio managers. The emphasis is on theory relevant to fundamental portfolio managers that works in practice, enabling you to convert ideas into a strategy portfolio that is both profitable and resilient. Intuition always comes first, and this book helps to lay out simple but effective «rules of thumb» that require little effort to implement and understand. At the same time, the book shows how to implement sophisticated techniques in order to meet the challenges a successful investor faces as his or her strategy grows in size and complexity. Advanced Portfolio Management also contains more advanced material and a quantitative appendix, which benefit quantitative researchers who are members of fundamental teams. You will learn how to: Separate stock-specific return drivers from the investment environment’s return drivers Understand current investment themes Size your cash positions based on Your investment ideas Understand your performance Measure and decompose risk Hedge the risk you don’t want Use diversification to your advantage Manage losses and control tail risk Set your leverage Author Giuseppe A. Paleologo has consulted, collaborated, taught, and drank strong wine with some of the best stock-pickers in the world; he has traded tens of billions of dollars hedging and optimizing their books and has helped them navigate through big drawdowns and even bigger recoveries. Whether or not you have access to risk models or advanced mathematical background, you will benefit from the techniques and the insights contained in the book—and won't find them covered anywhere else.

Оглавление

Giuseppe A. Paleologo. Advanced Portfolio Management

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Advanced Portfolio Management. A Quant’s Guide for Fundamental Investors

Chapter 1 For Whom? Why? And How?

1.1 What You Will Find Here

1.2 Asterisks; Or, How to Read This Book

1.3 Acknowledgments

Chapter 2 The Problem: From Ideas to Profit

2.1 How to Invest in Your Edge, and Hedge the Rest

2.2 How to Size Your Positions

2.3 How to Learn from Your History

2.4 How to Trade Efficiently

2.5 How to Limit Factor Risk

2.6 How to Control Maximum Losses

2.7 How to Determine Your Leverage

2.8 How to Analyze New Sources of Data

Notes

Chapter 3 A Tour of Risk and Performance

3.1 Introduction

3.2 Alpha and Beta

3.3 Where Does Alpha Come From?

3.4 Estimate Risk in Advance

3.4.1 What Is Risk?

3.4.2 Measuring Risk and Performance

Procedure 3.1 Compute the volatility of a portfolio

3.5 First Steps in Risk Decomposition

3.6 Simple Hedging

Procedure 3.2 Compute the market hedge of a portfolio

3.7 Separation of Concerns

3.8 Takeaway Messages

Notes

Chapter 4 An Introduction to Multi-Factor Models

4.1 From One Factor to Many

4.2 Frequently Asked Questions About Risk

4.3 The Machinery of Risk Models

4.4 Takeaway Messages

Notes

Chapter 5 Understand Factors

5.1 The Economic Environment

5.1.1 Country

5.1.2 Industries

Insight 5.1 Industry Factors and sector ETFs

5.1.3 Beta

5.1.4 Volatility

5.2 The Trading Environment

5.2.1 Short Interest

5.2.2 Active Manager Holdings (AMH)

5.2.3 Momentum

5.3 The Company: Valuation Factors

5.3.1 Value

5.4 Takeaway Messages

Notes

Chapter 6 Use Effective Heuristics for Alpha Sizing

6.1 Sharpe Ratio

6.2 Estimating Expected Returns

Insight 6.1 Thinking about expected returns

Procedure 6.1 Estimate expected returns

6.3 Risk-Based Sizing

Procedure 6.2 Sizing alphas into positions

6.4 Empirical Analysis of the Sizing Rules

Insight 6.2 Sizing heuristic

6.5 From Ideas to Positions

Procedure 6.3 Sizing alphas into positions, with zero factor risk

6.6 Time-Series Risk-Based Portfolio Targeting

Insight 6.3 Benefits of Volatility Targeting

6.7 Frequently Asked Questions About Performance

6.8 Takeaway Messages

Notes

Chapter 7 Manage Factor Risk

7.1 Tactical Factor Risk Management

Procedure 7.1 Tactical portfolio construction

7.1.1 Optimize If You Must

7.2 Strategic Factor Risk Management

7.2.1 Setting an Upper Limit on Factor Risk

Insight 7.1 Minimum percent idio variance

7.2.2 Setting a Limit on Market Exposure

7.2.3 Setting an Upper Limit on Single-Stock Holdings

7.2.4 Setting an Upper Limit on Single-Factor Exposures

7.3 Systematic Hedging and Portfolio Management

7.4 Takeaway Messages

Notes

Chapter 8 Understand Your Performance

8.1 Factor

8.1.1 Performance Attribution

8.2 Idiosyncratic

8.2.1 Selection, Sizing, Timing

8.2.2 The Relationship Between Performance and Diversification

Procedure 8.1 Effective number of stocks in a portfolio

Insight 8.1 Diversification benefits

8.3 Trade Events Efficiently

8.4 Use Alternative Data!

8.5 Frequently Asked Questions About Performance

8.6 Takeaway Messages

Notes

Chapter 9 Manage Your Losses

9.1 How Stop-Loss Works

9.2 Why a Stop-Loss Policy?

9.3 The Costs and Benefits of Stop-Loss

9.4 Takeaway Messages

Notes

Chapter 10 Set Your Leverage Ratio for a Sustainable Business

10.1 A Framework for Leverage Decisions

10.2 Takeaway Messages

Notes

Chapter 11 Appendix. 11.1 Essential Risk Model Formulas

11.1.1 Factor Model

11.1.2 Factor-Mimicking Portfolios

11.1.3 Percentage Idio Variance

11.1.4 Betas

11.1.5 Marginal Contribution to Factor Risk

11.2 Diversification

11.3 Mean-Variance Formulations

11.3.1 Mean-Variance Portfolios

11.3.2 A Robust Mean-Variance Formulation

11.4 Proportional-Rule Formulations

11.5 Generating Custom Factors

11.5.1 Interpretation and Use

11.6 Optimization Formulations

11.6.1 Equal-Sized Portfolio with Constraints on Participation Rate

Procedure 11.1 alpha testing

11.7 Tactical Portfolio Optimization

11.7.1 Variants

11.8 Hedging Formulations

11.9 Optimal Event Trading

Notes

References

Index

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Giuseppe A. Paleologo

I imagine that these readers are at different stages in their careers. Since the companies they cover are fundamentally different, they do think in different ways. But they all share a feature: they all have valuable trading ideas but realize that having good ideas is useless without the knowledge of how to turn them into money. This is the objective of portfolio construction and risk management: how to put together a portfolio of holdings that will be profitable over time and will survive adversities. This book is a short, incomplete guide toward investment enlightenment.

.....

The dollar variance of Synchrony returns is and finally the volatility is $162K.

I hope I bored you with this calculation, because it is boring. But this is a back-of-the-envelope calculation that helps for many tasks. For example: you can pull SYF and SP500 returns from a website or Bloomberg for the past year, estimate their vols, then perform a quick regression in Excel to estimate the beta of SYF to SP500 and then use the same calculation above to derive the idiosyncratic vol (do it!). Yes, there is a Bloomberg function for that (BETA GO), and yes, even Yahoo Finance reports the trailing 3-year beta. But suppose that you don't want a three-year beta. Or suppose that you don't want to include a certain date range in SYF returns, for example, the day of an idiosyncratic event that resulted in a one-off large return, and is not representative of the future volatility of the stock. There are many valid reasons for wanting to customize the estimation of vols and betas. Once you have understood the principle, you are the master of your own destiny, even if you pull the data from a commercial model.

.....

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