Portfolio Analytics
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| Author | : Frank J. Fabozzi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 579 |
| Release | : 2016-03-23 |
| Genre | : Business & Economics |
| ISBN | : 1119238145 |
A detailed, multi-disciplinary approach to investment analytics Portfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike. With complete and detailed coverage of portfolio analytics and modeling methods, this book is unique in its multi-disciplinary approach. Investment analytics involves the input of a variety of areas, and this guide provides the perspective of data management, modeling, software resources, and investment strategy to give you a truly comprehensive understanding of how today's firms approach the process. Real-world examples provide insight into analytics performed with vendor software, and references to analytics performed with open source software will prove useful to both students and practitioners. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big data, regulatory change, and increasing risk is forcing a need for a more coherent approach to all aspects of investment analytics, and this book provides the strong foundation and critical skills you need. Master the fundamental modeling concepts and widely used analytics Learn the latest trends in risk metrics, modeling, and investment strategies Get up to speed on the vendor and open-source software most commonly used Gain a multi-angle perspective on portfolio analytics at today's firms Identifying investment opportunities, keeping portfolios aligned with investment objectives, and monitoring risk and performance are all major functions of an investment firm that relies heavily on analytics output. This reliance will only increase in the face of market changes and increased regulatory pressure, and practitioners need a deep understanding of the latest methods and models used to build a robust investment strategy. Portfolio Construction and Analytics is an invaluable resource for portfolio management in any capacity.
| Author | : David Jamieson Bolder |
| Publisher | : Springer |
| Total Pages | : 559 |
| Release | : 2015-02-02 |
| Genre | : Business & Economics |
| ISBN | : 3319126679 |
The book offers a detailed, robust, and consistent framework for the joint consideration of portfolio exposure, risk, and performance across a wide range of underlying fixed-income instruments and risk factors. Through extensive use of practical examples, the author also highlights the necessary technical tools and the common pitfalls that arise when working in this area. Finally, the book discusses tools for testing the reasonableness of the key analytics to help build and maintain confidence for using these techniques in day-to-day decision making. This will be of keen interest to risk managers, analysts and asset managers responsible for fixed-income portfolios.
| Author | : Wolfgang Marty |
| Publisher | : Springer |
| Total Pages | : 216 |
| Release | : 2015-10-08 |
| Genre | : Business & Economics |
| ISBN | : 3319198122 |
This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared. The author then proceeds to modern portfolio theory (MPT) and illustrates how the constraints interfere substantially in the construction of optimized portfolios. As a conclusion, the book provides the reader with all the essential aspects of investment controlling.
| Author | : Gregory Connor |
| Publisher | : Princeton University Press |
| Total Pages | : 400 |
| Release | : 2010-03-15 |
| Genre | : Business & Economics |
| ISBN | : 1400835291 |
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.
| Author | : James Picerno |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 134 |
| Release | : 2018-06-18 |
| Genre | : |
| ISBN | : 9781987583519 |
R is a free, open source programming language that's become a popular standard for financial and economic analysis. Quantitative Investment Portfolio Analytics In R is your guide to getting started with modeling portfolio risk and return in R. Even if you have no experience with the software, you'll be fluent in R at a basic level after reading this short primer. The chapters provide step-by-step instructions for tapping into R's powerful capabilities for portfolio analytics.
| Author | : Carl R. Bacon |
| Publisher | : Risk |
| Total Pages | : 397 |
| Release | : 2007 |
| Genre | : Investment analysis |
| ISBN | : 9781904339939 |
A new multi-contributor title presenting you with a complete range of perspectives on the very latest research, cutting-edge ideas and current approaches to portfolio return and risk attribution. Contains key information to facilitate your investment decision-making process.
| Author | : Xiaoxia Huang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 188 |
| Release | : 2010-02-18 |
| Genre | : Computers |
| ISBN | : 3642112137 |
The most salient feature of security returns is uncertainty. The purpose of the book is to provide systematically a quantitative method for analyzing return and risk of a portfolio investment in di?erent kinds of uncertainty and present the ways for striking a balance between investment return and risk such that an optimal portfolio can be obtained. In classical portfolio theory, security returns were assumed to be random variables, and probability theory was the main mathematical tool for h- dling uncertainty in the past. However,the world is complex and uncertainty is varied. Randomnessis nottheonly typeofuncertaintyinreality,especially when human factors are included. Security market, one of the most complex marketsintheworld,containsalmostallkindsofuncertainty. Thesecurity- turns are sensitive to various factors including economic, social, political and very importantly, people’s psychological factors. Therefore, other than strict probability method, scholars have proposed some other approaches including imprecise probability, possibility, and interval set methods, etc. , to deal with uncertaintyinportfolioselectionsince1990’s. Inthisbook,wewantto addto thetools existingin sciencesomenewandunorthodoxapproachesforanal- ing uncertainty of portfolio returns. When security returns are fuzzy, we use credibility which has self-duality property as the basic measure and employ credibilitytheorytohelpmakeselectiondecisionsuchthatthedecisionresult will be consistent with the laws of contradiction and excluded middle. Being awarethat one tool is not enough for solving complex practical problems, we further employ uncertain measure and uncertainty theory to help select an optimal portfolio when security returns behave neither randomly nor fuzzily. One core of portfolio selection is to ?nd a quantitative risk de?nition of a portfolio investment.
| Author | : Christian Bluhm |
| Publisher | : CRC Press |
| Total Pages | : 376 |
| Release | : 2006-09-29 |
| Genre | : Business & Economics |
| ISBN | : 1420011472 |
The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities. Financial institutions continuously use these products for tailor-made long and short positions in credit risks. Based on a stead
| Author | : Jonathan K. Regenstein, Jr. |
| Publisher | : CRC Press |
| Total Pages | : 248 |
| Release | : 2018-09-24 |
| Genre | : Mathematics |
| ISBN | : 1351052608 |
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.
| Author | : R. Stafford Johnson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 720 |
| Release | : 2014-06-30 |
| Genre | : Business & Economics |
| ISBN | : 1118202686 |
Understand today's investment challenges and the role of the Bloomberg system In recent years, changes have swept through the investment industry like wildfire. Academia has followed along and provided new lenses for viewing this transformation, as well as new strategies for gaining a true understanding and knowledge of investment and financial markets. Now, Equity Markets and Portfolio Analysis has been created to further inform investment professionals and finance students on the basic concepts and strategies of investments, and to provide more detailed discussions on advanced strategies and models. The concepts covered in this book will help readers gain a better understanding of the markets and uses for an increasing number of securities, strategies, and methodologies. Equity Markets and Portfolio Analysis is the only core investment book that covers the functionality of Bloomberg terminals, increasingly critical tools both in the classroom and on the trading floor. As Bloomberg terminals now play a key role in the research, teaching, and managing of student investment funds, understanding the system's information and analytical functions has become more important than ever. In-depth coverage of fundamentals through more detailed concepts for students and professionals who want to better understand the evaluation, selection, and management of securities One-of-a-kind training and instructional course, introduction to Bloomberg investment subjects, and reference for CFA preparation Bloomberg material provided in an appendix accompanying each chapter, a useful option for professors Ideal for finance practitioners, investment bankers, and academics This unique resource will give readers both the foundational knowledge and the analytical tools necessary for investment success, both in the classroom and in the real world.
