Quantitative Methods For Portfolio And Analysis
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| Author | : T. Kariya |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 321 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 9401117217 |
Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems. In particular, this book is required reading for: (1) `Quants' (quantitatively-inclined analysts) in financial industries; (2) financial engineers in investment banks, securities companies, derivative-trading companies, software houses, etc., who are developing portfolio trading systems; (3) graduate students and specialists in the areas of finance, business, economics, statistics, financial engineering; and (4) investors who are interested in Japanese financial markets. Throughout the book the emphasis is placed on the originality and usefulness of models and methods for the construction of portfolios and investment decision making, and examples are provided to demonstrate, with practical analysis, models for Japanese financial markets.
| Author | : Ludwig B. Chincarini |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 691 |
| Release | : 2010-08-18 |
| Genre | : Business & Economics |
| ISBN | : 0071492380 |
Quantitative Equity Portfolio Management brings the orderly structure of fundamental asset management to the often-chaotic world of active equity management. Straightforward and accessible, it provides you with nuts-and-bolts details for selecting and aggregating factors, building a risk model, and much more.
| Author | : Richard A. DeFusco |
| Publisher | : John Wiley & Sons |
| Total Pages | : 635 |
| Release | : 2015-10-15 |
| Genre | : Business & Economics |
| ISBN | : 1119104602 |
Your complete guide to quantitative analysis in the investment industry Quantitative Investment Analysis, Third Edition is a newly revised and updated text that presents you with a blend of theory and practice materials to guide you through the use of statistics within the context of finance and investment. With equal focus on theoretical concepts and their practical applications, this approachable resource offers features, such as learning outcome statements, that are targeted at helping you understand, retain, and apply the information you have learned. Throughout the text's chapters, you explore a wide range of topics, such as the time value of money, discounted cash flow applications, common probability distributions, sampling and estimation, hypothesis testing, and correlation and regression. Applying quantitative analysis to the investment process is an important task for investment pros and students. A reference that provides even subject matter treatment, consistent mathematical notation, and continuity in topic coverage will make the learning process easier—and will bolster your success. Explore the materials you need to apply quantitative analysis to finance and investment data—even if you have no previous knowledge of this subject area Access updated content that offers insight into the latest topics relevant to the field Consider a wide range of subject areas within the text, including chapters on multiple regression, issues in regression analysis, time-series analysis, and portfolio concepts Leverage supplemental materials, including the companion Workbook and Instructor's Manual, sold separately Quantitative Investment Analysis, Third Edition is a fundamental resource that covers the wide range of quantitative methods you need to know in order to apply quantitative analysis to the investment process.
| Author | : Pierre Brugière |
| Publisher | : Springer Nature |
| Total Pages | : 212 |
| Release | : 2020-03-28 |
| Genre | : Mathematics |
| ISBN | : 3030377407 |
This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.
| Author | : Christian L. Dunis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 426 |
| Release | : 2004-01-09 |
| Genre | : Business & Economics |
| ISBN | : 0470871342 |
This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio
| Author | : Richard Armand DeFusco |
| Publisher | : Ingram |
| Total Pages | : 776 |
| Release | : 2004 |
| Genre | : Business & Economics |
| ISBN | : |
Designed for use in the CFA program or by investment professionals, this textbook provides a guide to applying quantitative analysis to the investment process. From the perspective of an investment generalist, it covers the knowledge, skills, and abilities needed to utilize quantitative methods. Chapters address the time value of money, discounted cash flow applications, market returns, statistical concepts, probability concepts, probability distributions, sampling and estimation, hypothesis testing, correlation and regression, time series analysis, and portfolio concepts. The authors are CFAs affiliated with universities or private companies. c. Book News Inc.
| Author | : Lev Dynkin |
| Publisher | : Princeton University Press |
| Total Pages | : 998 |
| Release | : 2020-05-26 |
| Genre | : Business & Economics |
| ISBN | : 069120277X |
The practice of institutional bond portfolio management has changed markedly since the late 1980s in response to new financial instruments, investment methodologies, and improved analytics. Investors are looking for a more disciplined, quantitative approach to asset management. Here, five top authorities from a leading Wall Street firm provide practical solutions and feasible methodologies based on investor inquiries. While taking a quantitative approach, they avoid complex mathematical derivations, making the book accessible to a wide audience, including portfolio managers, plan sponsors, research analysts, risk managers, academics, students, and anyone interested in bond portfolio management. The book covers a range of subjects of concern to fixed-income portfolio managers--investment style, benchmark replication and customization, managing credit and mortgage portfolios, managing central bank reserves, risk optimization, and performance attribution. The first part contains empirical studies of security selection versus asset allocation, index replication with derivatives and bonds, optimal portfolio diversification, and long-horizon performance of assets. The second part covers portfolio management tools for risk budgeting, bottom-up risk modeling, performance attribution, innovative measures of risk sensitivities, and hedging risk exposures. A first-of-its-kind publication from a team of practitioners at the front lines of financial thinking, this book presents a winning combination of mathematical models, intuitive examples, and clear language.
| Author | : Edward E. Qian |
| Publisher | : CRC Press |
| Total Pages | : 462 |
| Release | : 2007-05-11 |
| Genre | : Business & Economics |
| ISBN | : 1420010794 |
Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for
| Author | : Nikolai Dokuchaev |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 232 |
| Release | : 2002-01-31 |
| Genre | : Business & Economics |
| ISBN | : 9780792376484 |
An investigation of optimal investment problems for stochastic financial market models, this book is addressed to academics and students who are interested in the mathematics of finance, stochastic processes and optimal control. It should also be useful to practitioners in risk management and quantitative analysis who are interested in new strategies and methods of stochastic analysis.
| Author | : Henrik Hult |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 343 |
| Release | : 2012-07-20 |
| Genre | : Mathematics |
| ISBN | : 146144103X |
Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for making investment and risk management decisions in the presence of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They use rigorous, yet elementary mathematics, avoiding technically advanced approaches which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedging of derivative contracts, investment and hedging principles from portfolio theory, and risk measurement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examples that illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics and probability.
