Search Results for "risk-and-asset-allocation-springer-finance"

Risk and Asset Allocation

Risk and Asset Allocation

  • Author: Attilio Meucci
  • Publisher: Springer Science & Business Media
  • ISBN: 3642009646
  • Category: Business & Economics
  • Page: 532
  • View: 6295
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This encyclopedic, detailed resource covers all the steps of one-period allocation from the foundations to the most advanced developments. It includes a large number of figures and examples as well as real trading and asset management case studies.

Strategic Risk Management

Strategic Risk Management

A Practical Guide to Portfolio Risk Management

  • Author: David Iverson
  • Publisher: John Wiley & Sons
  • ISBN: 111817643X
  • Category: Business & Economics
  • Page: 288
  • View: 7802
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A comprehensive guide to the key investment decisions all investors must make and how to manage the risk that entails Since all investors seek maximize returns balanced against acceptable risks, successful investment management is all about successful risk management. Strategic Risk Management uses that reality as a starting point, showing investors how to make risk management a process rather than just another tool in the investor's kit. The book highlights and explains primary investment risks and shows readers how to manage them across the key areas of any fund, including investment objectives, asset allocation, asset class strategy, and manager selection. With a strong focus on risk management at the time of asset allocation and at the time of implementation, the book offers important guidance for managers of benefit plans, endowments, defined contribution schemes, and family trusts. Offers a thorough examination of the role of risk management in the decision-making process for asset allocation, manager selection, and other duties of fund managers Written by the current head of portfolio design for the New Zealand Superannuation Fund Addresses the fundamental importance of risk management in today's post-crisis fund management landscape Strategic Risk Management is a comprehensive and easy-to-read guide that identifies the primary risks investors face and reveals how best to manage them.

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

A Practical Guide to Implementing Quantitative Investment Theory

  • Author: M. Rasmussen
  • Publisher: Springer
  • ISBN: 0230512852
  • Category: Business & Economics
  • Page: 443
  • View: 6746
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Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.

Risk-Based Approaches to Asset Allocation

Risk-Based Approaches to Asset Allocation

Concepts and Practical Applications

  • Author: Maria Debora Braga
  • Publisher: Springer
  • ISBN: 3319243829
  • Category: Business & Economics
  • Page: 99
  • View: 7116
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This book focuses on the concepts and applications of risk-based asset allocation. Markowitz’s traditional approach to asset allocation suffers from serious drawbacks when implemented. These mainly arise from the estimation risk associated with the necessary input the most critical being expected returns. With the financial crisis, there has been an increasing interest in asset allocation approaches that don’t need expected returns as input, known as risk-based approaches. The book provides an analysis of the different solutions that fit this description: the equal-weighting approach, the global minimum-variance approach, the most diversified portfolio approach and the risk parity approach. In addition to a theoretical discussion of these, it presents practical applications in different investment environments. Three different evaluation dimensions are considered to put these approaches to the test: financial efficiency, diversification and portfolio stability.

Dynamic Asset Allocation with Forwards and Futures

Dynamic Asset Allocation with Forwards and Futures

  • Author: Abraham Lioui,Patrice Poncet
  • Publisher: Springer Science & Business Media
  • ISBN: 9780387241074
  • Category: Business & Economics
  • Page: 263
  • View: 1048
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This is an advanced text on the theory of forward and futures markets which aims at providing readers with a comprehensive knowledge of how prices are established and evolve over time, what optimal strategies one can expect from the participants, what characterizes such markets and what major theoretical and practical differences distinguish futures from forward contracts. It should be of interest to students (majoring in finance with quantitative skills) academics (both theoreticians and empiricists), practitioners, and regulators.

Robust Portfolio Optimization and Management

Robust Portfolio Optimization and Management

  • Author: Frank J. Fabozzi,Petter N. Kolm,Dessislava A. Pachamanova,Sergio M. Focardi
  • Publisher: John Wiley & Sons
  • ISBN: 0470164891
  • Category: Business & Economics
  • Page: 512
  • View: 7164
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Praise for Robust Portfolio Optimization and Management "In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction." --Mark Kritzman, President and CEO, Windham Capital Management, LLC "The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike." --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University

Practical Methods of Financial Engineering and Risk Management

Practical Methods of Financial Engineering and Risk Management

Tools for Modern Financial Professionals

  • Author: Rupak Chatterjee
  • Publisher: Apress
  • ISBN: 143026134X
  • Category: Business & Economics
  • Page: 388
  • View: 9375
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Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks. In Practical Methods of Financial Engineering and Risk Management, Dr. Rupak Chatterjee— former director of the multi-asset quantitative research group at Citi—introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.

Introduction to Risk Parity and Budgeting

Introduction to Risk Parity and Budgeting

  • Author: Thierry Roncalli
  • Publisher: CRC Press
  • ISBN: 1482207168
  • Category: Business & Economics
  • Page: 440
  • View: 2986
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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 financial crisis in 2008. Today, pension funds and institutional investors are using this approach in the development of smart indexing and the redefinition of long-term investment policies. Written by a well-known expert of asset management and risk parity, Introduction to Risk Parity and Budgeting provides an up-to-date treatment of this alternative method to Markowitz optimization. It builds financial exposure to equities and commodities, considers credit risk in the management of bond portfolios, and designs long-term investment policy. The first part of the book gives a theoretical account of portfolio optimization and risk parity. The author discusses modern portfolio theory and offers a comprehensive guide to risk budgeting. Each chapter in the second part presents an application of risk parity to a specific asset class. The text covers risk-based equity indexation (also called smart beta) and shows how to use risk budgeting techniques to manage bond portfolios. It also explores alternative investments, such as commodities and hedge funds, and applies risk parity techniques to multi-asset classes. The book’s first appendix provides technical materials on optimization problems, copula functions, and dynamic asset allocation. The second appendix contains 30 tutorial exercises. Solutions to the exercises, slides for instructors, and Gauss computer programs to reproduce the book’s examples, tables, and figures are available on the author’s website.

Country Asset Allocation

Country Asset Allocation

Quantitative Country Selection Strategies in Global Factor Investing

  • Author: Adam Zaremba,Jacob Shemer
  • Publisher: Springer
  • ISBN: 1137591919
  • Category: Business & Economics
  • Page: 262
  • View: 3985
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This book demonstrates how quantitative country-level investment strategies can be successfully employed to manage money in international markets. It offers a range of state-of-the-art quantitative strategies, describing their theoretical bases, implementation details, and performance in over 70 countries between 1995 and 2015. International diversification has long been a key to stable investing. However, the increased integration and openness of global financial markets has led to rising correlations between stock market returns in particular countries, driving down the benefits of diversification and increasing the importance of country selection strategies as part of an investment process. Zaremba and Shemer explain the efficiency of quantitative investing, which captures huge amounts of data of limited scope very quickly. In the traditional approach, this data compilation is an immense undertaking, limited in scope and vulnerable to behavioral errors, but this can be overcome with the help of a new paradigm of quantitative investment at the country level. Quantitative country asset allocation can be efficiently accomplished by using wealth insights that have been generated in the academic literature, discovering many anomalies and regular patterns in asset prices. Armed with this information, investors and managers can process large amounts of data more efficiently when deciding to invest in ETFs, index funds, or futures markets.

Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R

  • Author: Bernhard Pfaff
  • Publisher: John Wiley & Sons
  • ISBN: 1119119685
  • Category: Mathematics
  • Page: 448
  • View: 4068
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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.

Applied Quantitative Finance

Applied Quantitative Finance

  • Author: Wolfgang Karl Härdle,Cathy Yi-Hsuan Chen,Ludger Overbeck
  • Publisher: Springer
  • ISBN: 3662544865
  • Category: Business & Economics
  • Page: 372
  • View: 3928
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This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

Applied Asset and Risk Management

Applied Asset and Risk Management

A Guide to Modern Portfolio Management and Behavior-Driven Markets

  • Author: Marcus Schulmerich,Yves-Michel Leporcher,Ching-Hwa Eu
  • Publisher: Springer
  • ISBN: 364255444X
  • Category: Business & Economics
  • Page: 476
  • View: 4308
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This book is a guide to asset and risk management from a practical point of view. It is centered around two questions triggered by the global events on the stock markets since the middle of the last decade: - Why do crashes happen when in theory they should not? - How do investors deal with such crises in terms of their risk measurement and management and as a consequence, what are the implications for the chosen investment strategies? The book presents and discusses two different approaches to finance and investing, i.e., modern portfolio theory and behavioral finance, and provides an overview of stock market anomalies and historical crashes. It is intended to serve as a comprehensive introduction to asset and risk management for bachelor’s and master’s students in this field as well as for young professionals in the asset management industry. A key part of this book is the exercises to further demonstrate the concepts presented with examples and a step-by-step business case. An Excel file with the calculations and solutions for all 17 examples as well as all business case calculations can be downloaded at extras.springer.com.

Shipping Derivatives and Risk Management

Shipping Derivatives and Risk Management

  • Author: A. Alizadeh,N. Nomikos
  • Publisher: Springer
  • ISBN: 0230235808
  • Category: Business & Economics
  • Page: 499
  • View: 9112
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A comprehensive book on shipping derivatives and risk management which covers the theoretical and practical aspects of financial risk in shipping. The book provides a thorough overview of the practice of risk management in shipping with the use of theoretical examples and real-life applications.

Asset Management and Institutional Investors

Asset Management and Institutional Investors

  • Author: Ignazio Basile,Pierpaolo Ferrari
  • Publisher: Springer
  • ISBN: 3319327968
  • Category: Business & Economics
  • Page: 468
  • View: 6440
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This book analyses investment management policies for institutional investors. It is composed of four parts. The first one analyses the various types of institutional investors, institutions which, with different objectives, professionally manage portfolios of financial and real assets on behalf of a wide variety of individuals. This part goes on with an in-depth analysis of the economic, technical and regulatory characteristics of the different types of investment funds and of other types of asset management products, which have a high rate of substitutability with investment funds and represent their natural competitors. The second part of the book identifies and investigates the stages of the investment portfolio management. Given the importance of strategic asset allocation in explaining the ex post performance of any type of investment portfolio, this part provides an in-depth analysis of asset allocation methods, illustrating the different theoretical and operational solutions available to institutional investors. The third part describes performance assessment, its breakdown and risk control, with an in-depth examination of performance evaluation techniques, returns-based style analysis approaches, and performance attribution models. Finally, the fourth part deals with the subject of diversification into alternative asset classes, identifying the common characteristics and their possible role within the framework of investment management policies. This part analyses hedge funds, private equity, real estate, commodities, and currency overlay techniques.

Applied Probabilistic Calculus for Financial Engineering

Applied Probabilistic Calculus for Financial Engineering

An Introduction Using R

  • Author: Bertram K. C. Chan
  • Publisher: John Wiley & Sons
  • ISBN: 111938804X
  • Category: Mathematics
  • Page: 536
  • View: 9034
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Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis. It examines probabilistic calculus for modeling financial engineering—walking the reader through building an effective financial model from the Geometric Brownian Motion (GBM) Model via probabilistic calculus, while also covering Ito Calculus. Classical mathematical models in financial engineering and modern portfolio theory are discussed—along with the Two Mutual Fund Theorem and The Sharpe Ratio. The book also looks at R as a calculator and using R in data analysis in financial engineering. Additionally, it covers asset allocation using R, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio optimization by performance analytics in CRAN. Covers optimization methodologies in probabilistic calculus for financial engineering Answers the question: What does a "Random Walk" Financial Theory look like? Covers the GBM Model and the Random Walk Model Examines modern theories of portfolio optimization, including The Markowitz Model of Modern Portfolio Theory (MPT), The Black-Litterman Model, and The Black-Scholes Option Pricing Model Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R s an ideal reference for professionals and students in economics, econometrics, and finance, as well as for financial investment quants and financial engineers.

Portfolio Management under Stress

Portfolio Management under Stress

A Bayesian-Net Approach to Coherent Asset Allocation

  • Author: Riccardo Rebonato,Alexander Denev
  • Publisher: Cambridge University Press
  • ISBN: 1107048117
  • Category: Business & Economics
  • Page: 516
  • View: 7070
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A rigorous presentation of a novel methodology for asset allocation in financial portfolios under conditions of market distress.

Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management

  • Author: Cheng-Few Lee,John Lee
  • Publisher: Springer Science & Business Media
  • ISBN: 9780387771175
  • Category: Business & Economics
  • Page: 1716
  • View: 7538
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Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.

Robust Equity Portfolio Management

Robust Equity Portfolio Management

Formulations, Implementations, and Properties using MATLAB

  • Author: Woo Chang Kim,Jang Ho Kim,Frank J. Fabozzi
  • Publisher: John Wiley & Sons
  • ISBN: 111879737X
  • Category: Business & Economics
  • Page: 256
  • View: 9366
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A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. Get up to speed on the latest developments in portfolio optimization Implement robust models using provided MATLAB code Learn advanced optimization methods with equity portfolio applications Understand the formulations, performances, and properties of robust portfolios The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.

Managing Uncertainty, Mitigating Risk

Managing Uncertainty, Mitigating Risk

Tackling the Unknown in Financial Risk Assessment and Decision Making

  • Author: Nick Firoozye,Fauziah Ariff
  • Publisher: Springer
  • ISBN: 1137334541
  • Category: Business & Economics
  • Page: 265
  • View: 4121
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Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners can see a more holistic and complete picture.

Optimal Financial Decision Making under Uncertainty

Optimal Financial Decision Making under Uncertainty

  • Author: Giorgio Consigli,Daniel Kuhn,Paolo Brandimarte
  • Publisher: Springer
  • ISBN: 3319416138
  • Category: Business & Economics
  • Page: 298
  • View: 5457
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The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management. The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows: Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas. Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applications The inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods. Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems. Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.