Introduction to Risk Parity and Budgeting

Introduction to Risk Parity and Budgeting
Author: Thierry Roncalli
Publisher: CRC Press
Total Pages: 430
Release: 2016-04-19
Genre: Business & Economics
ISBN: 1482207168

Although portfolio management didn't change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management. Risk parity then became a popular financial model of investment after the global fina

Handbook of Financial Risk Management

Handbook of Financial Risk Management
Author: Thierry Roncalli
Publisher: CRC Press
Total Pages: 1430
Release: 2020-04-23
Genre: Business & Economics
ISBN: 1351385224

Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874

Portfolio Diversification

Portfolio Diversification
Author: Francois-Serge Lhabitant
Publisher: Elsevier
Total Pages: 276
Release: 2017-09-26
Genre: Mathematics
ISBN: 0081017863

Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. - Focuses on portfolio diversification across all its dimensions - Includes recent empirical material that was created and developed specifically for this book - Provides several tools to quantify and implement optimal diversification

Machine Learning for Asset Management

Machine Learning for Asset Management
Author: Emmanuel Jurczenko
Publisher: John Wiley & Sons
Total Pages: 460
Release: 2020-10-06
Genre: Business & Economics
ISBN: 1786305445

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R
Author: Bernhard Pfaff
Publisher: John Wiley & Sons
Total Pages: 448
Release: 2016-08-16
Genre: Mathematics
ISBN: 1119119685

Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

Multi-Asset Risk Modeling

Multi-Asset Risk Modeling
Author: Morton Glantz
Publisher: Academic Press
Total Pages: 545
Release: 2013-12-03
Genre: Business & Economics
ISBN: 0124016944

Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. - Covers all asset classes - Provides mathematical theoretical explanations of risk as well as practical examples with empirical data - Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities

Applied Corporate Finance

Applied Corporate Finance
Author: Aswath Damodaran
Publisher: John Wiley & Sons
Total Pages: 663
Release: 2014-10-27
Genre: Business & Economics
ISBN: 1118808932

Aswath Damodaran, distinguished author, Professor of Finance, and David Margolis, Teaching Fellow at the NYU Stern School of Business, has delivered the newest edition of Applied Corporate Finance. This readable text provides the practical advice students and practitioners need rather than a sole concentration on debate theory, assumptions, or models. Like no other text of its kind, Applied Corporate Finance, 4th Edition applies corporate finance to real companies. It now contains six real-world core companies to study and follow. Business decisions are classified for students into three groups: investment, financing, and dividend decisions.

Derivatives

Derivatives
Author: Wendy L. Pirie
Publisher: John Wiley & Sons
Total Pages: 784
Release: 2017-03-27
Genre: Business & Economics
ISBN: 1119381762

The complete guide to derivatives, from the experts at the CFA Derivatives is the definitive guide to derivatives, derivative markets, and the use of options in risk management. Written by the experts at the CFA Institute, this book provides authoritative reference for students and investment professionals seeking a deeper understanding for more comprehensive portfolio management. General discussion of the types of derivatives and their characteristics gives way to detailed examination of each market and its contracts, including forwards, futures, options, and swaps, followed by a look at credit derivatives markets and their instruments. Included lecture slides help bring this book directly into the classroom, while the companion workbook (sold separately) provides problems and solutions that align with the text and allows students to test their understanding while facilitating deeper internalization of the material. Derivatives have become essential to effective financial risk management, and create synthetic exposure to asset classes. This book builds a conceptual framework for understanding derivative fundamentals, with systematic coverage and detailed explanations. Understand the different types of derivatives and their characteristics Delve into the various markets and their associated contracts Examine the use of derivatives in portfolio management Learn why derivatives are increasingly fundamental to risk management The CFA Institute is the world's premier association for investment professionals, and the governing body for the CFA, CIPM, and Investment Foundations Programs. Those seeking a deeper understanding of the markets, mechanisms, and use of derivatives will value the level of expertise CFA lends to the discussion, providing a clear, comprehensive resource for students and professionals alike. Whether used alone or in conjunction with the companion workbook, Derivatives offers a complete course in derivatives and their markets.

Risk-Based and Factor Investing

Risk-Based and Factor Investing
Author: Emmanuel Jurczenko
Publisher: Elsevier
Total Pages: 488
Release: 2015-11-24
Genre: Business & Economics
ISBN: 0081008112

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

Computational Finance and Financial Econometrics

Computational Finance and Financial Econometrics
Author: Eric Zivot
Publisher: CRC Press
Total Pages: 500
Release: 2017-01-15
Genre:
ISBN: 9781498775779

This book presents mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. The tools are used to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel. The author explains how to build probability models for asset returns, to apply statistical techniques to evaluate if asset returns are normally distributed, to use Monte Carlo simulation and bootstrapping techniques to evaluate statistical models, and to use optimization methods to construct efficient portfolios.