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Engineering investment process :maki...
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Ielpo, Florian,
Engineering investment process :making value creation repeatable /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
332.67/8
書名/作者:
Engineering investment process : : making value creation repeatable // Florian Ielpo, Chafic Merhy and Guillaume Simon.
作者:
Ielpo, Florian,
其他作者:
Merhy, Chafic,
面頁冊數:
1 online resource.
標題:
Investments.
ISBN:
9780081011485
ISBN:
0081011482
ISBN:
9781785481628
ISBN:
1785481622
書目註:
Includes bibliographical references and index.
內容註:
Front Cover -- Engineering Investment Process: Making Value Creation Repeatable -- Copyright -- Contents -- Foreword -- Preface -- Introduction -- List of Acronyms -- 1. Understanding the Investment Universe -- 1.1. Introduction -- 1.2. Computing returns -- 1.3. Moment estimation -- 1.4. The time series properties of returns -- 1.5. Modeling financial returns and why it matters to an investment process -- 1.6. Living in a world of factors -- 2. Dealing with Risk Factors -- 2.1. Dependence among markets -- 2.2. Linear factor models -- 2.3. Risk factor dynamics: the state-space modeling framework -- 2.4. The liquidity risk factor -- 2.5. Implications of low rates on risk modeling in fixed-income markets -- 3. Active Portfolio Construction -- 3.1. Introduction -- 3.2. A theoretical toolbox for allocation -- 3.3. A focus on mean-variance -- 3.4. Spectral insights for allocation -- 3.5. Allocating using views -- 3.6. Allocating without views -- 3.7. Dynamic trading -- 4. Backtesting and Statistical Significance of Performance -- 4.1. Introduction -- 4.2. Backtesting -- 4.3. Performance statistics -- 4.4. Statistical significance of performance -- 5. Gauging Economic Influences on Quantitative Strategies -- 5.1. A tale of three strategies -- 5.2. Building economic condition indices -- 5.3. Relating business conditions to market performances -- 5.4. The impact of economic information on a strategy's performance -- Appendix -- A.1. Useful formulas -- A.2. Diversification measures -- A.3. A brief introduction to inverse problems -- A.4. Tables from Chapter 5 -- Conclusion -- Bibliography -- Index -- Back Cover.
摘要、提要註:
Engineering Investment Process: Making Value Creation Repeatable explores the quantitative steps of a financial investment process. The authors study how these steps are articulated in order to make any value creation, whatever the asset class, consistent and robust. The discussion includes factors, portfolio allocation, statistical and economic backtesting, but also the influence of negative rates, dynamical trading, state-space models, stylized facts, liquidity issues, or data biases. Besides the quantitative concepts detailed here, the reader will find useful references to other works to develop an in-depth understanding of an investment process.
電子資源:
https://
www.sciencedirect.com/science/book/9781785481628
Engineering investment process :making value creation repeatable /
Ielpo, Florian,
Engineering investment process :
making value creation repeatable /Florian Ielpo, Chafic Merhy and Guillaume Simon. - 1 online resource. - Quantitative Finance Set. - Quantitative finance set..
Includes bibliographical references and index.
Front Cover -- Engineering Investment Process: Making Value Creation Repeatable -- Copyright -- Contents -- Foreword -- Preface -- Introduction -- List of Acronyms -- 1. Understanding the Investment Universe -- 1.1. Introduction -- 1.2. Computing returns -- 1.3. Moment estimation -- 1.4. The time series properties of returns -- 1.5. Modeling financial returns and why it matters to an investment process -- 1.6. Living in a world of factors -- 2. Dealing with Risk Factors -- 2.1. Dependence among markets -- 2.2. Linear factor models -- 2.3. Risk factor dynamics: the state-space modeling framework -- 2.4. The liquidity risk factor -- 2.5. Implications of low rates on risk modeling in fixed-income markets -- 3. Active Portfolio Construction -- 3.1. Introduction -- 3.2. A theoretical toolbox for allocation -- 3.3. A focus on mean-variance -- 3.4. Spectral insights for allocation -- 3.5. Allocating using views -- 3.6. Allocating without views -- 3.7. Dynamic trading -- 4. Backtesting and Statistical Significance of Performance -- 4.1. Introduction -- 4.2. Backtesting -- 4.3. Performance statistics -- 4.4. Statistical significance of performance -- 5. Gauging Economic Influences on Quantitative Strategies -- 5.1. A tale of three strategies -- 5.2. Building economic condition indices -- 5.3. Relating business conditions to market performances -- 5.4. The impact of economic information on a strategy's performance -- Appendix -- A.1. Useful formulas -- A.2. Diversification measures -- A.3. A brief introduction to inverse problems -- A.4. Tables from Chapter 5 -- Conclusion -- Bibliography -- Index -- Back Cover.
Engineering Investment Process: Making Value Creation Repeatable explores the quantitative steps of a financial investment process. The authors study how these steps are articulated in order to make any value creation, whatever the asset class, consistent and robust. The discussion includes factors, portfolio allocation, statistical and economic backtesting, but also the influence of negative rates, dynamical trading, state-space models, stylized facts, liquidity issues, or data biases. Besides the quantitative concepts detailed here, the reader will find useful references to other works to develop an in-depth understanding of an investment process.
ISBN: 9780081011485Subjects--Topical Terms:
172350
Investments.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: HG4521
Dewey Class. No.: 332.67/8
Engineering investment process :making value creation repeatable /
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Front Cover -- Engineering Investment Process: Making Value Creation Repeatable -- Copyright -- Contents -- Foreword -- Preface -- Introduction -- List of Acronyms -- 1. Understanding the Investment Universe -- 1.1. Introduction -- 1.2. Computing returns -- 1.3. Moment estimation -- 1.4. The time series properties of returns -- 1.5. Modeling financial returns and why it matters to an investment process -- 1.6. Living in a world of factors -- 2. Dealing with Risk Factors -- 2.1. Dependence among markets -- 2.2. Linear factor models -- 2.3. Risk factor dynamics: the state-space modeling framework -- 2.4. The liquidity risk factor -- 2.5. Implications of low rates on risk modeling in fixed-income markets -- 3. Active Portfolio Construction -- 3.1. Introduction -- 3.2. A theoretical toolbox for allocation -- 3.3. A focus on mean-variance -- 3.4. Spectral insights for allocation -- 3.5. Allocating using views -- 3.6. Allocating without views -- 3.7. Dynamic trading -- 4. Backtesting and Statistical Significance of Performance -- 4.1. Introduction -- 4.2. Backtesting -- 4.3. Performance statistics -- 4.4. Statistical significance of performance -- 5. Gauging Economic Influences on Quantitative Strategies -- 5.1. A tale of three strategies -- 5.2. Building economic condition indices -- 5.3. Relating business conditions to market performances -- 5.4. The impact of economic information on a strategy's performance -- Appendix -- A.1. Useful formulas -- A.2. Diversification measures -- A.3. A brief introduction to inverse problems -- A.4. Tables from Chapter 5 -- Conclusion -- Bibliography -- Index -- Back Cover.
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https://www.sciencedirect.com/science/book/9781785481628
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