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Risk Based and Factor Investing

Risk Based and Factor Investing Book
Author : Emmanuel Jurczenko
Publisher : Elsevier
Release : 2015-11-24
ISBN : 0081008112
Language : En, Es, Fr & De

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Book Description :

This book is a compilation of recent articles written by leading academics and practitioners in the area of risk-based and factor investing (RBFI). The articles are intended to introduce readers to some of the latest, cutting edge research encountered by academics and professionals dealing with RBFI solutions. Together the authors detail both alternative non-return based portfolio construction techniques and investing style risk premia strategies. Each chapter deals with new methods of building strategic and tactical risk-based portfolios, constructing and combining systematic factor strategies and assessing the related rules-based investment performances. This book can assist portfolio managers, asset owners, consultants, academics and students who wish to further their understanding of the science and art of risk-based and factor investing. Contains up-to-date research from the areas of RBFI Features contributions from leading academics and practitioners in this field Features discussions of new methods of building strategic and tactical risk-based portfolios for practitioners, academics and students

Equity Smart Beta and Factor Investing for Practitioners

Equity Smart Beta and Factor Investing for Practitioners Book
Author : Khalid Ghayur,Ronan G. Heaney,Stephen C. Platt
Publisher : John Wiley & Sons
Release : 2019-06-12
ISBN : 1119583225
Language : En, Es, Fr & De

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Book Description :

A guide to the popular and fast growing investment opportunities of smart beta Equity Smart Beta and Factor Investing for Practitioners offers a hands-on guide to the popular investment opportunities of smart beta, which is one of the fastest growing areas within the global equity asset class. This well-balanced book is written in accessible and understandable terms and contains an in-depth manual filled with analytical information and new ideas. The authors—noted experts in the field—include a definition of smart beta investing and detail its history. They also explore the distinguishing characteristics of smart beta strategies, offer an overview of factor investing, and reveal the implementation of smart beta approaches. Comprehensive in scope, the book contains helpful examples of applications, real-life illustrative case studies, and contributions from leading and respected practitioners that explain how they approach smart beta investing. This important book: Contains an in-depth exploration of smart beta investing Includes the information written in clear and accessible language Presents helpful case studies, illustrative examples, and contributions from leading and respected experts Offers a must have resource coauthored by the Head of Goldman Sachs’ equity smart beta business Written for investors who want to tap into the opportunities that smart beta offers, Equity Smart Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.

Practical Guide to Risk Based Investing

Practical Guide to Risk Based Investing Book
Author : Emmanuel Jurczenko,Jérà ́me Teiletche
Publisher : Wiley-ISTE
Release : 2016-01-11
ISBN : 9781848217195
Language : En, Es, Fr & De

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Book Description :

Download Practical Guide to Risk Based Investing book written by Emmanuel Jurczenko,Jérà ́me Teiletche, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Equity Smart Beta and Factor Investing for Practitioners

Equity Smart Beta and Factor Investing for Practitioners Book
Author : Khalid Ghayur,Ronan G. Heaney,Stephen C. Platt
Publisher : John Wiley & Sons
Release : 2019-05-29
ISBN : 1119583454
Language : En, Es, Fr & De

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Book Description :

A guide to the popular and fast growing investment opportunities of smart beta Equity Smart Beta and Factor Investing for Practitioners offers a hands-on guide to the popular investment opportunities of smart beta, which is one of the fastest growing areas within the global equity asset class. This well-balanced book is written in accessible and understandable terms and contains an in-depth manual filled with analytical information and new ideas. The authors—noted experts in the field—include a definition of smart beta investing and detail its history. They also explore the distinguishing characteristics of smart beta strategies, offer an overview of factor investing, and reveal the implementation of smart beta approaches. Comprehensive in scope, the book contains helpful examples of applications, real-life illustrative case studies, and contributions from leading and respected practitioners that explain how they approach smart beta investing. This important book: Contains an in-depth exploration of smart beta investing Includes the information written in clear and accessible language Presents helpful case studies, illustrative examples, and contributions from leading and respected experts Offers a must have resource coauthored by the Head of Goldman Sachs’ equity smart beta business Written for investors who want to tap into the opportunities that smart beta offers, Equity Smart Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.

Investment Theory and Risk Management

Investment Theory and Risk Management Book
Author : Steven Peterson
Publisher : John Wiley & Sons
Release : 2012-04-18
ISBN : 1118238419
Language : En, Es, Fr & De

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Book Description :

A unique perspective on applied investment theory and riskmanagement from the Senior Risk Officer of a major pension fund Investment Theory and Risk Management is a practicalguide to today's investment environment. The book's sophisticatedquantitative methods are examined by an author who uses thesemethods at the Virginia Retirement System and teaches themat the Virginia Commonwealth University. In addition to showing howinvestment performance can be evaluated, using Jensen's Alpha,Sharpe's Ratio, and DDM, he delves into four types of optimalportfolios (one that is fully invested, one with targeted returns,another with no short sales, and one with capped investmentallocations). In addition, the book provides valuable insights on risk, andtopics such as anomalies, factor models, and active portfoliomanagement. Other chapters focus on private equity, structuredcredit, optimal rebalancing, data problems, and Monte Carlosimulation. Contains investment theory and risk management spreadsheetmodels based on the author's own real-world experience with stock,bonds, and alternative assets Offers a down-to-earth guide that can be used on a daily basisfor making common financial decisions with a new level ofquantitative sophistication and rigor Written by the Director of Research and Senior Risk Officer forthe Virginia Retirement System and an Associate Professor atVirginia Commonwealth University's School of Business Investment Theory and Risk Management empowers both thetechnical and non-technical reader with the essential knowledgenecessary to understand and manage risks in any corporate oreconomic environment.

Factor Investing

Factor Investing Book
Author : Emmanuel Jurczenko
Publisher : Elsevier
Release : 2017-10-17
ISBN : 0081019645
Language : En, Es, Fr & De

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Book Description :

This new edited volume consists of a collection of original articles written by leading industry experts in the area of factor investing. The chapters introduce readers to some of the latest research developments in the area of equity and alternative investment strategies.Each chapter deals with new methods for constructing and harvesting traditional and alternative risk premia, building strategic and tactical multifactor portfolios, and assessing related systematic investment performances. This volume will be of help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge and understanding of systematic risk factor investing. A practical scope An extensive coverage and up-to-date researcch contributions Covers the topic of factor investing strategies which are increasingly popular amongst practitioners

Engineering Investment Process

Engineering Investment Process Book
Author : Florian Ielpo,Chafic Merhy,Guillaume Simon
Publisher : Elsevier
Release : 2017-03-22
ISBN : 0081011482
Language : En, Es, Fr & De

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Book Description :

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. Blends academic research with practical experience from quants, fund managers, and economists Puts financial mathematics and econometrics in their rightful place Presents useful information that will increase the reader's understanding of markets Clearly provides both the global framework, the investment process, and the useful econometric and financial tools that help in its construction Includes efficient tools taken from up-to-date econometric and financial techniques

Risk Based Investment Management in Practice

Risk Based Investment Management in Practice Book
Author : Frances Cowell
Publisher : Springer
Release : 2013-10-31
ISBN : 113734640X
Language : En, Es, Fr & De

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Book Description :

A practitioner's account of how investment risk affects the decisions of professional investment managers. Jargon-free, with a broad coverage of investment types and asset classes, the non-investment professional will find this book readable and accessible.

Advanced Portfolio Management

Advanced Portfolio Management Book
Author : Giuseppe A. Paleologo
Publisher : John Wiley & Sons
Release : 2021-08-10
ISBN : 1119789796
Language : En, Es, Fr & De

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Book Description :

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.

Asset Management

Asset Management Book
Author : Andrew Ang
Publisher : Oxford University Press (UK)
Release : 2014
ISBN : 0199959323
Language : En, Es, Fr & De

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Book Description :

Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In his new book Asset Management: A Systematic Approach to Factor Investing, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent. Making investments is like eating a healthy diet, Ang says: you've got to look through the foods you eat to focus on the nutrients they contain. Failing to do so can lead to a serious case of malnutrition - for investors as well as diners. The key, in Ang's view, is bad times, and the fact that every investor's bad times are somewhat different. The notion that bad times are paramount is the guiding principle of the book, which offers a new approach to the age-old problem of where do you put your money? Years of experience,both as a finance professor and as a consultant, have led Ang to see that the traditional approach, with its focus on asset classes, is too crude and ultimately too costly to serve investors adequately. He focuses instead on factor risks," the peculiar sets of hard times that cut across asset classes, and that must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so. Optimally harvesting factor premiums - on our own or by hiring others -r equires identifying your particular set of hard times, and exploiting the difference between them and those of the average investor. Clearly written yet chock-full of the latest research and data, Asset Management will be indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, harvest them efficiently in their portfolios, and embark on the search for true alpha."

Machine Learning for Factor Investing R Version

Machine Learning for Factor Investing  R Version Book
Author : Guillaume Coqueret,Tony Guida
Publisher : CRC Press
Release : 2020-08-31
ISBN : 1000176762
Language : En, Es, Fr & De

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Book Description :

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor Investing: R Version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees, and causal models. All topics are illustrated with self-contained R code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.

Market Momentum

Market Momentum Book
Author : Stephen Satchell,Andrew Grant
Publisher : John Wiley & Sons
Release : 2020-09-15
ISBN : 1119599377
Language : En, Es, Fr & De

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Book Description :

A one-of-a-kind reference guide covering the behavioral and statistical explanations for market momentum and the implementation of momentum trading strategies Market Momentum: Theory and Practice is a thorough, how-to reference guide for a full range of financial professionals and students. It examines the behavioral and statistical causes of market momentum while also exploring the practical side of implementing related strategies. The phenomenon of momentum in finance occurs when past high returns are followed by subsequent high returns, and past low returns are followed by subsequent low returns. Market Momentum provides a detailed introduction to the financial topic, while examining existing literature. Recent academic and practitioner research is included, offering a more up-to-date perspective. What type of book is Market Momentum and how does it serve a range of readers’ interests and needs? A holistic market momentum guide for industry professionals, asset managers, risk managers, firm managers, plus hedge fund and commodity trading advisors Advanced text to help graduate students in finance, economics, and mathematics further develop their funds management skills Useful resource for financial practitioners who want to implement momentum trading strategies Reference book providing behavioral and statistical explanations for market momentum Due to claims that the phenomenon of momentum goes against the Efficient Markets Hypothesis, behavioral economists have studied the topic in-depth. However, many books published on the subject are written to provide advice on how to make money. In contrast, Market Momentum offers a comprehensive approach to the topic, which makes it a valuable resource for both investment professionals and higher-level finance students. The contributors address momentum theory and practice, while also offering trading strategies that practitioners can study.

Hands On Machine Learning for Algorithmic Trading

Hands On Machine Learning for Algorithmic Trading Book
Author : Stefan Jansen
Publisher : Packt Publishing Ltd
Release : 2018-12-31
ISBN : 1789342716
Language : En, Es, Fr & De

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Book Description :

With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.

Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading Book
Author : Stefan Jansen
Publisher : Packt Publishing Ltd
Release : 2020-07-31
ISBN : 1839216786
Language : En, Es, Fr & De

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Book Description :

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes data Who this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

Asset Allocation

Asset Allocation Book
Author : William Kinlaw,Mark P. Kritzman,David Turkington
Publisher : John Wiley & Sons
Release : 2021-07-27
ISBN : 1119817714
Language : En, Es, Fr & De

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Book Description :

Discover a masterful exploration of the fallacies and challenges of asset allocation In Asset Allocation: From Theory to Practice and Beyond—the newly and substantially revised Second Edition of A Practitioner’s Guide to Asset Allocation—accomplished finance professionals William Kinlaw, Mark P. Kritzman, and David Turkington deliver a robust and insightful exploration of the core tenets of asset allocation. Drawing on their experience working with hundreds of the world’s largest and most sophisticated investors, the authors review foundational concepts, debunk fallacies, and address cutting-edge themes like factor investing and scenario analysis. The new edition also includes references to related topics at the end of each chapter and a summary of key takeaways to help readers rapidly locate material of interest. The book also incorporates discussions of: The characteristics that define an asset class, including stability, investability, and similarity The fundamentals of asset allocation, including definitions of expected return, portfolio risk, and diversification Advanced topics like factor investing, asymmetric diversification, fat tails, long-term investing, and enhanced scenario analysis as well as tools to address challenges such as liquidity, rebalancing, constraints, and within-horizon risk. Perfect for client-facing practitioners as well as scholars who seek to understand practical techniques, Asset Allocation: From Theory to Practice and Beyond is a must-read resource from an author team of distinguished finance experts and a forward by Nobel prize winner Harry Markowitz.

Portfolio Construction and Analytics

Portfolio Construction and Analytics Book
Author : Frank J. Fabozzi,Dessislava A. Pachamanova
Publisher : John Wiley & Sons
Release : 2016-04-11
ISBN : 1118445597
Language : En, Es, Fr & De

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Book Description :

"This book fills provides a high-level overview of the analytics process at investment firms from multiple angles: the data management side, the modeling side, the software resources side, and the investment strategy side"--

Factor Investing and Asset Allocation A Business Cycle Perspective

Factor Investing and Asset Allocation  A Business Cycle Perspective Book
Author : Vasant Naik,Mukundan Devarajan,Andrew Nowobilski ,Sébastien Page, CFA,Niels Pedersen
Publisher : CFA Institute Research Foundation
Release : 2016-12-30
ISBN : 1944960155
Language : En, Es, Fr & De

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Book Description :

Download Factor Investing and Asset Allocation A Business Cycle Perspective book written by Vasant Naik,Mukundan Devarajan,Andrew Nowobilski ,Sébastien Page, CFA,Niels Pedersen, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Machine Learning for Factor Investing R Version

Machine Learning for Factor Investing  R Version Book
Author : Guillaume Coqueret,Tony Guida
Publisher : CRC Press
Release : 2020-09-01
ISBN : 1000176800
Language : En, Es, Fr & De

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Book Description :

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine Learning for Factor Investing: R Version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees, and causal models. All topics are illustrated with self-contained R code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise.

Portfolio Management in Practice Volume 2

Portfolio Management in Practice  Volume 2 Book
Author : CFA Institute
Publisher : John Wiley & Sons
Release : 2020-01-11
ISBN : 1119787971
Language : En, Es, Fr & De

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Book Description :

Discover the latest essential resource on asset allocation for students and investment professionals. Part of the CFA Institute’s three-volume Portfolio Management in Practice series, Asset Allocation offers a deep, comprehensive ­treatment of the asset allocation process and the underlying theories and markets that support it. As the second volume in the series, Asset Allocation meets the needs of both graduate-level students focused on finance and industry professionals looking to become more dynamic investors. Filled with the insights and industry knowledge of the CFA Institute’s subject matter experts, Asset Allocation effectively blends theory and practice while helping the reader expand their skillsets in key areas of interest. This volume provides complete coverage on the following topics: Setting capital market expectations to support the asset allocation process Principles and processes in the asset allocation process, including handling ESG-integration and client-specific constraints Allocation beyond the traditional asset classes to include allocation to alternative investments The role of exchange-traded funds can play in implementing investment strategies An integrative case study in portfolio management involving a university endowment To further enhance your understanding of tools and techniques explored in Asset Allocation, don’t forget to pick up the Portfolio Management in Practice, Volume 2: Asset Allocation Workbook. The workbook is the perfect companion resource containing learning outcomes, summary overview sections, and challenging practice questions that align chapter-by-chapter with the main text.

Advances in Financial Machine Learning

Advances in Financial Machine Learning Book
Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
Release : 2018-01-23
ISBN : 1119482119
Language : En, Es, Fr & De

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Book Description :

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.