Download or read book A New Linear Programming Approach to Bond Portfolio Management written by C. W. Fong and published by . This book was released on 1986 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A New Linear Programming Approach to Bond Portfolio Management written by Ehud I. Ronn and published by . This book was released on 1986 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Mathematical Programming Approach to Bond Portfolio Management Under Uncertainty written by Robert S. Greenberg and published by . This book was released on 1976 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bond Portfolio Linear Programming Optimization Method written by Zeev Kviatkovsky and published by . This book was released on 1981 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dynamic Portfolio Management written by Jiarui Han and published by . This book was released on 2005 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Immunizing Bond Portfolio Using Linear Programming written by T. Setiawan Sudjiatmoko and published by . This book was released on 1996 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear and Mixed Integer Programming for Portfolio Optimization written by Renata Mansini and published by Springer. This book was released on 2015-06-10 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples.
Download or read book Optimization Methods in Finance written by Gerard Cornuejols and published by Cambridge University Press. This book was released on 2006-12-21 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
Download or read book Security Analysis and Portfolio Management written by Falguni H. Pandya and published by Jaico Publishing House. This book was released on 2013-10-25 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides applicationoriented treatment along with theoretical discussion of the subject, thereby making it easy and effective learning. It specifically caters to the syllabus of Security Analysis and Portfolio Management or Investment Analysis and Portfolio Management or Investment offered in the second year of MBA and M.Com. programmes. Stepbystep, the text introduces readers to market concepts, going from the basics of investment to analysis of investment, presented in a simple manner with real life examples and data from the Indian economy and corporate sector. Key Features— Empirically tested theories and concepts, using real data from Indian corporate sector— Graphs and figures based on Indian data, to support the theory— Pause for thought section at the end of each important topic, to reinforce concepts— Indepth pedagogy, contemporary approach, and live examples using factual data
Download or read book Quantitative Management of Bond Portfolios written by Lev Dynkin and published by Princeton University Press. This book was released on 2020-05-26 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Linear Programming Approach to Trading in Bond based Securities written by Douglas John McLeod and published by . This book was released on 1989 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Financial Optimization written by Stavros A. Zenios and published by Cambridge University Press. This book was released on 1993 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of formal mathematical models and optimization in finance has become common practice in the 1980s and 1990s. This book clearly presents the exciting symbiosis between the fields of finance and management science/operations research. Prominent researchers present the state of the art in financial optimization, while analysts from industry discuss the latest business techniques practised by financial firms in New York, London and Tokyo. The book covers a wide range of topics: portfolio management of equities and fixed income investments, the pricing of complex insurance, mortgage and other asset-backed products, and models for risk-management and diversification.
Download or read book Optimization Methods in Finance written by Gerard Cornuejols and published by Cambridge University Press. This book was released on 2006-12-21 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
Download or read book Bond portfolios incorporating default risk A linear programming model written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Linear Programming Model for Bond Portfolios Incorporating Default Risk written by Carsten Hennings and published by . This book was released on 1990 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization Methods in Finance written by Gérard Cornuéjols and published by Cambridge University Press. This book was released on 2018-08-09 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical mean–variance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of mean–variance optimization, multi-period models, and additional material to highlight the relevance to finance.
Download or read book A linear programming approach to portfolio selection written by George D. Wilder and published by . This book was released on 1976 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
