Advanced Portfolio Management
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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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Отрывок из книги
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.
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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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