Download Multi Asset Risk Modeling Book PDF

Download full Multi Asset Risk Modeling books PDF, EPUB, Tuebl, Textbook, Mobi or read online Multi Asset Risk Modeling anytime and anywhere on any device. Get free access to the library by create an account, fast download and ads free. We cannot guarantee that every book is in the library.

Multi-Asset Risk Modeling

Multi-Asset Risk Modeling
  • Author : Morton Glantz,Robert Kissell
  • Publisher :Unknown
  • Release Date :2013-12-03
  • Total pages :544
  • ISBN : 9780124016941
GET BOOK HERE

Summary : 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

Multi-asset Equity Derivatives

Multi-asset Equity Derivatives
  • Author : Rama Cont
  • Publisher :Unknown
  • Release Date :2007
  • Total pages :352
  • ISBN : 0470032839
GET BOOK HERE

Summary : Written by two experts in quantitative finance and with considerable professional market experience, this book brings the necessary tools for modelling multi-asset equity derivatives to the practitioner and student interested in the topic.

Model Averaging and Value-at-risk Based Evaluation of Large Multi-asset Volatility Models for Risk Management

Model Averaging and Value-at-risk Based Evaluation of Large Multi-asset Volatility Models for Risk Management
  • Author : M. Hashem Pesaran,Paolo Zaffaroni
  • Publisher :Unknown
  • Release Date :2005
  • Total pages :26
  • ISBN : OCLC:254774507
GET BOOK HERE

Summary :

Multi-Asset Investing

Multi-Asset Investing
  • Author : Pranay Gupta,Sven R. Skallsjo,Bing Li
  • Publisher :Unknown
  • Release Date :2016-03-09
  • Total pages :296
  • ISBN : 9781119241591
GET BOOK HERE

Summary : Despite the accepted fact that a substantial part of the risk and return of any portfolio comes from asset allocation, we find today that the majority of investment professionals worldwide are focused on security selection. Multi-Asset Investing: A Practitioner’s Framework questions this basic structure of the investment process and investment industry. Who says we have to separate alpha and beta? Are the traditional definitions for risk and risk premium relevant in a multi-asset class world? Do portfolios cater for the ‘real risks’ in their investment processes? Does the whole Emerging Markets demarcation make sense for investing? Why do active Asian managers perform much poorer compared to developed market managers? Can you distinguish how much of a strategy’s performance comes from skill rather than luck? Does having a performance fee for your manager create alignment or misalignment? Why is the asset management transitioning from multi-asset strategies to multi-asset solutions? These and many other questions are asked, and suggestions provided as potential solutions. Having worked together for fifteen years, the authors’ present implementable solutions which have helped them successfully manage large asset pools. The Academic Perspective “Multi-Asset Investing asks fundamental questions about the asset allocation investment processes in use today, and can have a substantial impact on the future structure of the finance industry. It clarifies and distils the techniques that investment professionals need to master to add value to client portfolios.” —Paul Smith, President & CEO, CFA Institute “Pranay Gupta, Sven Skallsjo, and Bing Li describe the essential concepts and applications of multi-asset investing. Their treatment is far ranging and exceptionally lucid, and always with a nod to practical application. Buy this book and keep it close at hand.” —Mark Kritzman, MIT Sloane School of Management “Innovative solutions to some of the most difficult investment problems we are faced with today. Multi-asset Investing tackles investment issues which don’t have straight forward solutions, but nevertheless are faced by every investment professional. This book sets the standard for investment processes of all asset managers.” —SP Kothari, MIT Sloane School of Management The Asset Owner Perspective “Multi-asset means different things to different people. This is the first text that details a comprehensive framework for managing any kind of multi-asset investment problem. Further, its explanation of the commercial aspects of managing a multi-asset investment business for an asset manager, private bank or asset owner make it an indispensable tool” —Sadayuki Horie, Dy. Chairman - Investment Advisory Comm., Government Pension Investment Fund, Japan “Multi-Asset Investing shows the substantial scope there is to innovate the asset allocation process. With its novel approaches to allocation, portfolio construction and risk management it demonstrates the substantial value that can be added to any portfolio. The solutions proposed by Multi-Asset Investing are creative, thought provoking, and may well be the way all portfolios need to be managed in the future.” —Mario Therrien, Senior Vice President, Caisse de Depot et Placement du Quebec, Canada The Asset Manager’s Perspective “Never has astute asset allocation and diversification been more crucial than today. Asset Managers which are able to innovate their investment processes and products in this area, are more likely to be the winners. Multi-Asset Investing provides both simple and sophisticated, tested and implementable techniques for successfully managing multi-asset portfolios.” —Vincent Camerlynck, former CEO BNP Paribas Investment Partners, Asia Pacific The Investment Strategist Perspective “For plan sponsors, portfolio managers, analysts and risk managers, Multi-Asset Investing is an unparalleled guide for portfolio management. Its approach to blending the quantitative and fundamental, top-down and bottom up and the risk and return frameworks makes it a valuable tool for any kind of investment professional. It clarifies a complex subject into a series of practical ideas to help add value to any portfolio.” —Ajay S. Kapur, Chief Strategist, BOA Merrill Lynch Asia

The New Science of Asset Allocation

The New Science of Asset Allocation
  • Author : Thomas Schneeweis,Garry B. Crowder,Hossein B. Kazemi
  • Publisher :Unknown
  • Release Date :2010-02-12
  • Total pages :320
  • ISBN : 0470608390
GET BOOK HERE

Summary : A feasible asset allocation framework for the post 2008 financial world Asset allocation has long been a cornerstone of prudent investment management; however, traditional allocation plans failed investors miserably in 2008. Asset allocation still remains an essential part of the investment arena, and through a new approach, you'll discover how to make it work. In The New Science of Asset Allocation, authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first explore the myths that plague this field then quickly move on to examine how the practice of asset allocation has failed in recent years. They then propose new allocation models that employ liquidity, transparency, and real risk controls across multiple asset classes. Outlines a new approach to asset allocation in a post-2008 world, where risk seems hidden The "great manager" problem is examined with solutions on how to capture manager alpha while limiting downside risk A complete case study is presented that allocates for beta and alpha Written by an experienced team of industry leaders and academic experts, The New Science of Asset Allocation explains how you can effectively apply this approach to a financial world that continues to change.

Investment Risk and Uncertainty

Investment Risk and Uncertainty
  • Author : Steven P. Greiner
  • Publisher :Unknown
  • Release Date :2013-03-14
  • Total pages :608
  • ISBN : 9781118421413
GET BOOK HERE

Summary : Valuable insights on the major methods used in today's asset andrisk management arena Risk management has moved to the forefront of asset managementsince the credit crisis. However, most coverage of this subject isoverly complicated, misunderstood, and extremely hard to apply.That's why Steven Greiner—a financial professional with overtwenty years of quantitative and modeling experience—haswritten Investment Risk and Uncertainty. With this book, heskillfully reduces the complexity of risk management methodologiesapplied across many asset classes through practical examples ofwhen to use what. Along the way, Greiner explores how particular methods can lowerrisk and mitigate losses. He also discusses how to stress test yourportfolio and remove the exposure to regular risks and those from"Black Swan" events. More than just an explanation of specific riskissues, this reliable resource provides practical "off-the-shelf"applications that will allow the intelligent investor to understandtheir risks, their sources, and how to hedge those risks. Covers modern methods applied in risk management for manydifferent asset classes Details the risk measurements of truly multi-asset classportfolios, while bridging the gap for managers in variousdisciplines—from equity and fixed income investors tocurrency and commodity investors Examines risk management algorithms for multi-asset classmanagers as well as risk managers, addressing new compliance issuesand how to meet them The theory of risk management is hardly ever spelled out inpractical applications that portfolio managers, pension fundadvisors, and consultants can make use of. This book fills thatvoid and will put you in a better position to confidently face theinvestment risks and uncertainties found in today's dynamicmarkets.

Multi Asset Class Investment Strategy

Multi Asset Class Investment Strategy
  • Author : Guy Fraser-Sampson
  • Publisher :Unknown
  • Release Date :2006-07-11
  • Total pages :320
  • ISBN : 9780470033890
GET BOOK HERE

Summary : The book explains that instead of asset allocation being set in an isolated and arbitrary fashion, it is in fact the way in which specific hurdle investment returns can be targeted, and that this approach is already in use in the US (and has been for many years). It involves extended and detailed financial analysis of various asset class returns and proposes a five-asset class approach for future use. Opening with a study of the historic asset allocation practice of UK pension funds, the book shows how the current approach has led to the present funding crisis. It goes on to compare and contrast the UK approach with that of the US and to propose a new approach to UK asset allocation: the five asset class approach ("MAC Investing"). The book reviews and analyses different asset classes based on historic returns, examines risk, and concludes with a suggestion of the five asset classes to use; Quoted equities (both Domestic and foreign), hedge funds, private equity and property. This book also includes benchmark performance figures never previously published.

Post Modern Investment

Post Modern Investment
  • Author : Garry B. Crowder,Thomas Schneeweis,Hossein Kazemi
  • Publisher :Unknown
  • Release Date :2012-11-08
  • Total pages :336
  • ISBN : 9781118483855
GET BOOK HERE

Summary : Debunking outdated and inaccurate beliefs about investment management and reveals the new realities of the post-modern financial markets There have been a lot of big changes in the investment world over the past decade, and many long-cherished beliefs about the structures and performance of various investments no longer apply. Unfortunately the news seems not to have reached many thought leaders and investment professionals who persist in trying, and failing, to apply 20th-century thinking to 21st-century portfolio management. Nowhere is this more true than when it comes to the subject of alternative investments. Written by an all-star team of investment management experts, this book debunks common myths and misconceptions about most classes of alternative investments and offers valuable advice on how to develop investment management and asset allocation strategies consistent with the new realities of the ever-changing world of alternative investments. Covers most alternative asset classes, including private equity, real estate, managed futures, hedge funds, commodity indices, and more Debunks long-held assumptions about the structure and performance of various investment classes that continue to dominate the industry Explores the implications for investment managers of the proliferation of international marketable securities and global financial markets Provides an overview of both the micro and the macro aspects of each alternative investment class

Essays on Fitting Factor Models for Asset Returns

Essays on Fitting Factor Models for Asset Returns
  • Author : Sangeetha Srinivasan
  • Publisher :Unknown
  • Release Date :2018
  • Total pages :184
  • ISBN : OCLC:1081335345
GET BOOK HERE

Summary : Factor models are used to describe the fundamental drivers of financial asset returns. There are 3 types: time-series factor, statistical factor and fundamental factor models. While factor models have existed for almost 60 years, industry-wide adoption with factor-based investing has surged in the last decade. This dissertation is centered on factorAnalytics, an open source R package co-developed with other UW students and faculty members, that demystifies the industry black-box models, making model fitting tools readily available for any interested academic or practitioner. Chapter 1 compares the characteristics of the three types of models in terms of model specification, estimation, interpretation and various in-sample and out-of-sample performance metrics using S&P 500 stock returns. Like Connor (1995), we find that the fundamental factor model outperforms the time-series and statistical factor models since it makes use of additional information on asset-specific characteristics. Moreover, we find that adding statistical factor(s) extracted from the residuals of time-series or fundamental factor models, or, fitting fundamental factors to the residuals of a time-series factor model, to create hybrid models, further improves performance. Investment management firms need to understand peer positioning for a variety of reasons, including risk management. Factor models provide a framework to estimate peer exposures, especially useful when holdings-based information is lacking. Chapter 2 presents a multi-asset time-series factor model constructed from long-short portfolios of asset class index returns, applied to peer-average returns from the Morningstar U.S. fund allocation categories. We show that factors are better than asset classes for assessing unknown exposures and decomposing risk in multi-asset portfolios. Furthermore, there is an opportunity to create more efficient, better risk-diversified portfolios using factors when making allocation decisions. We use the multi-factor model to construct equal-asset-risk and equal-factor-risk portfolios and compare them to the equal-weighted and minimum-variance portfolios. We also show that a zero-investment equal-factor-risk portfolio sleeve helps bridge the gap between pure risk parity and traditional portfolios, enhancing Sharpe ratio across all risk categories. Chapters 3-5 contain vignettes for each type of factor model that describe and demonstrate model fitting, factor risk (volatility, value-at-risk and expected shortfall) decomposition, and related S3 generic methods.

A Practitioner's Guide to Factor Models

A Practitioner's Guide to Factor Models
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1994-01-01
  • Total pages :87
  • ISBN : 0943205247
GET BOOK HERE

Summary :

Risk-Based Investment Management in Practice

Risk-Based Investment Management in Practice
  • Author : Frances Cowell
  • Publisher :Unknown
  • Release Date :2013-10-31
  • Total pages :475
  • ISBN : 9781137346407
GET BOOK HERE

Summary : 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.

The Science of Algorithmic Trading and Portfolio Management

The Science of Algorithmic Trading and Portfolio Management
  • Author : Robert Kissell
  • Publisher :Unknown
  • Release Date :2013-10-01
  • Total pages :496
  • ISBN : 9780124016934
GET BOOK HERE

Summary : The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. Helps readers design systems to manage algorithmic risk and dark pool uncertainty. Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

Factor Investing and Asset Allocation: A Business Cycle Perspective

Factor Investing and Asset Allocation: A Business Cycle Perspective
  • Author : Vasant Naik,Mukundan Devarajan,Andrew Nowobilski ,Sébastien Page, CFA,Niels Pedersen
  • Publisher :Unknown
  • Release Date :2016-12-30
  • Total pages :190
  • ISBN : 9781944960155
GET BOOK HERE

Summary :

Dynamic Copulas for Finance

Dynamic Copulas for Finance
  • Author : Valentin Braun
  • Publisher :Unknown
  • Release Date :2011
  • Total pages :176
  • ISBN : 9783844100402
GET BOOK HERE

Summary : The interactions of financial securities are crucial to determine possible portfolio losses. Although this fact is well understood, two questions remain: What causes changes in the dependence structure of financial assets? How can fluctuating dependencies be measured? The most common approach to identify the amplitude of financial assets' interactions are linear correlation coefficients. However, they fail to comprise shifts in the dependence structure. Alternatively, Copulas are a more flexible dependence measurement. This book focuses on the development of Dynamic Copula frameworks by implementing stochastic parameters into Archimedian and Elliptical Copula functions. In contrast to static correlation measures, the Dynamic Copulas are able to replicate unstable financial market interactions. Various Dynamic Copulas are applied to global stock, bond, commodity and exchange rate data to calculate the correlation time paths, which explain financial market reactions to economic shocks. Furthermore, the interactions of dependencies, volatility and returns are analyzed, to determine the efficiency of portfolio diversification in regards to wealth protection. Portfolio risks are estimated through Dynamic Copulas to demonstrate their abilities to replicate financial market interactions accurately. Additionally, this analysis reveals the impact of changing dependence intensities on the magnitude of possible portfolio losses. Finally, the Dynamic Copulas are utilized to allocate higher moment optimal portfolios. This examination emphasizes the effect of inaccurate correlation estimates on the portfolio choice.

Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R
  • Author : Bernhard Pfaff
  • Publisher :Unknown
  • Release Date :2012-11-05
  • Total pages :376
  • ISBN : 9781118477120
GET BOOK HERE

Summary : Introduces the latest techniques advocated for measuringfinancial market risk and portfolio optimization, and provides aplethora of R code examples that enable the reader to replicate theresults featured throughout the book. Financial Risk Modelling and Portfolio Optimization withR: Demonstrates techniques in modelling financial risks andapplying portfolio optimization techniques as well as recentadvances in the field. Introduces stylized facts, loss function and risk measures,conditional and unconditional modelling of risk; extreme valuetheory, generalized hyperbolic distribution, volatility modellingand concepts for capturing dependencies. Explores portfolio risk concepts and optimization with riskconstraints. Enables the reader to replicate the results in the book using Rcode. Is accompanied by a supporting website featuring examples andcase studies in R. Graduate and postgraduate students in finance, economics, riskmanagement as well as practitioners in finance and portfoliooptimization will find this book beneficial. It also serves well asan accompanying text in computer-lab classes and is thereforesuitable for self-study.

Navigating the Business Loan

Navigating the Business Loan
  • Author : Morton Glantz
  • Publisher :Unknown
  • Release Date :2014-11-10
  • Total pages :172
  • ISBN : 9780128018064
GET BOOK HERE

Summary : The need for "back to basics" information about credit risk has not disappeared; in fact, it has grown among lenders and investors who have no easy ways to learn about their clients. This short and readable book guides readers through core risk/performance issues. Readers learn the ways and means of running more efficient businesses, review bank and investor requirements as they evaluate funding requests, gain knowledge selling themselves, confidence in business plans, and their ability to make good on loans. They can download powerful tools such as banker’s cash flow models and forecast equations programmable into a cell or tablet. Readers can punch keys to ascertain financial needs, calculate sales growth rates calling for external financing, profits required to internally finance their firms, and ways to position revenue growth rates in equilibrium with their firm’s capital structure – a rock-solid selling point among smart lenders and investors. The book’s "how-to," practical and systematical guide to credit and risk analysis draws upon case studies and online tools, such as videos, spreadsheets, and slides in providing a concise risk/return methodology. Introduces ways to define and manage risk Uses case studies and online tools to extend and apply credit analysis and business management tools Surveys "hard" and "soft" data and ways they help lenders, other financiers, small-business owners, and entrepreneurs spot potential problems, write optimal business plans, and deliver effective loan or /investor geared presentations

Portfolio Risk Analysis

Portfolio Risk Analysis
  • Author : Gregory Connor,Lisa R. Goldberg,Robert A. Korajczyk
  • Publisher :Unknown
  • Release Date :2010-03-15
  • Total pages :400
  • ISBN : 9781400835294
GET BOOK HERE

Summary : Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

FX Derivatives Trader School

FX Derivatives Trader School
  • Author : Giles Jewitt
  • Publisher :Unknown
  • Release Date :2015-06-29
  • Total pages :624
  • ISBN : 9781118967454
GET BOOK HERE

Summary : An essential guide to real-world derivatives trading FX Derivatives Trader School is the definitive guide to the technical and practical knowledge required for successful foreign exchange derivatives trading. Accessible in style and comprehensive in coverage, the book guides the reader through both basic and advanced derivative pricing and risk management topics. The basics of financial markets and trading are covered, plus practical derivatives mathematics is introduced with reference to real-world trading and risk management. Derivative contracts are covered in detail from a trader's perspective using risk profiles and pricing under different derivative models. Analysis is approached generically to enable new products to be understood by breaking the risk into fundamental building blocks. To assist with learning, the book also contains Excel practicals which will deepen understanding and help build useful skills. The book covers of a wide variety of topics, including: Derivative exposures within risk management Volatility surface construction Implied volatility and correlation risk Practical tips for students on trading internships and junior traders Market analysis techniques FX derivatives trading requires mathematical aptitude, risk management skill, and the ability to work quickly and accurately under pressure. There is a tremendous gap between option pricing formulas and the knowledge required to be a successful derivatives trader. FX Derivatives Trader School is unique in bridging that gap.

Hedging Market Exposures

Hedging Market Exposures
  • Author : Oleg V. Bychuk,Brian Haughey
  • Publisher :Unknown
  • Release Date :2011-06-28
  • Total pages :352
  • ISBN : 111808537X
GET BOOK HERE

Summary : Identify and understand the risks facing your portfolio, how to quantify them, and the best tools to hedge them This book scrutinizes the various risks confronting a portfolio, equips the reader with the tools necessary to identify and understand these risks, and discusses the best ways to hedge them. The book does not require a specialized mathematical foundation, and so will appeal to both the generalist and specialist alike. For the generalist, who may not have a deep knowledge of mathematics, the book illustrates, through the copious use of examples, how to identify risks that can sometimes be hidden, and provides practical examples of quantifying and hedging exposures. For the specialist, the authors provide a detailed discussion of the mathematical foundations of risk management, and draw on their experience of hedging complex multi-asset class portfolios, providing practical advice and insights. Provides a clear description of the risks faced by managers with equity, fixed income, commodity, credit and foreign exchange exposures Elaborates methods of quantifying these risks Discusses the various tools available for hedging, and how to choose optimal hedging instruments Illuminates hidden risks such as counterparty, operational, human behavior and model risks, and expounds the importance and instability of model assumptions, such as market correlations, and their attendant dangers Explains in clear yet effective terms the language of quantitative finance and enables a non-quantitative investment professional to communicate effectively with professional risk managers, "quants", clients and others Providing thorough coverage of asset modeling, hedging principles, hedging instruments, and practical portfolio management, Hedging Market Exposures helps portfolio managers, bankers, transactors and finance and accounting executives understand the risks their business faces and the ways to quantify and control them.

Multi-Asset Investing

Multi-Asset Investing
  • Author : Yoram Lustig
  • Publisher :Unknown
  • Release Date :2013
  • Total pages :514
  • ISBN : 9780857192516
GET BOOK HERE

Summary : Planning, constructing and managing a multi-asset portfolio A multi-asset investment management approach provides diversification benefits, enhances risk-adjusted returns and enables a portfolio to be tailored to a wide range of investing objectives, whether these are generating returns or income, or matching liabilities. This book is divided into four parts that follow the four stages of the multi-asset investment management process: 1. Establishing objectives: Defining the return objectives, risk objectives and investment constraints of a portfolio. 2. Setting an investment strategy: Setting a plan to achieve investment objectives by thinking about long-term strategic asset allocation, combining asset classes and optimisation to derive the most efficient asset allocation. 3. Implementing a solution: Turning the investment strategy into a portfolio using short-term tactical asset allocation, investment selection and risk management. This section includes examples of investment strategies. 4. Reviewing: Evaluating the performance of a portfolio by examining results, risk, portfolio positioning and the economic environment. By dividing the multi-asset investment process into these well-defined stages, Yoram Lustig guides the reader through the various decisions that have to be made and actions that have to be taken. He builds carefully from defining investment objectives, formulating an investment strategy and the steps of selecting investments, leading to constructing and managing multi-asset portfolios. At each stage the considerations and strategies to be undertaken are detailed, and the description of the process is supported with relevant financial theory as well as practical, real-life examples. 'Multi-asset Investing' is an essential handbook for the modern approach to investment portfolio management.

Recent Applications of Financial Risk Modelling and Portfolio Management

Recent Applications of Financial Risk Modelling and Portfolio Management
  • Author : Škrinjarić, Tihana,Čižmešija, Mirjana,Christiansen, Bryan
  • Publisher :Unknown
  • Release Date :2020-09-25
  • Total pages :432
  • ISBN : 9781799850847
GET BOOK HERE

Summary : In today’s financial market, portfolio and risk management are facing an array of challenges. This is due to increasing levels of knowledge and data that are being made available that have caused a multitude of different investment models to be explored and implemented. Professionals and researchers in this field are in need of up-to-date research that analyzes these contemporary models of practice and keeps pace with the advancements being made within financial risk modelling and portfolio control. Recent Applications of Financial Risk Modelling and Portfolio Management is a pivotal reference source that provides vital research on the use of modern data analysis as well as quantitative methods for developing successful portfolio and risk management techniques. While highlighting topics such as credit scoring, investment strategies, and budgeting, this publication explores diverse models for achieving investment goals as well as improving upon traditional financial modelling methods. This book is ideally designed for researchers, financial analysts, executives, practitioners, policymakers, academicians, and students seeking current research on contemporary risk management strategies in the financial sector.