Algorithms For Portfolio Optimization And Portfolio Insurance
DOWNLOAD
Download Algorithms For Portfolio Optimization And Portfolio Insurance PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Algorithms For Portfolio Optimization And Portfolio Insurance book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Algorithms For Portfolio Optimization And Portfolio Insurance
DOWNLOAD
Author : Markus Rudolf
language : en
Publisher:
Release Date : 1994
Algorithms For Portfolio Optimization And Portfolio Insurance written by Markus Rudolf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Investment guaranty insurance categories.
Metaheuristic Approaches To Portfolio Optimization
DOWNLOAD
Author : Ray, Jhuma
language : en
Publisher: IGI Global
Release Date : 2019-06-22
Metaheuristic Approaches To Portfolio Optimization written by Ray, Jhuma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-22 with Business & Economics categories.
Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.
Online Portfolio Selection
DOWNLOAD
Author : Bin Li
language : en
Publisher: CRC Press
Release Date : 2018-10-30
Online Portfolio Selection written by Bin Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Business & Economics categories.
With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.
Optimal Portfolios With Guarantee At Maturity
DOWNLOAD
Author : Jean-Luc Prigent
language : en
Publisher:
Release Date : 2006
Optimal Portfolios With Guarantee At Maturity written by Jean-Luc Prigent and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Portfolio insurance allows investors to recover, at maturity, a given percentage of their initial capital. This limits downside risk in falling markets. Besides, it allows some participation in rising markets. One of the standard portfolio insurance methods is the Constant Proportion Portfolio Insurance (CPPI). We analyse options on cushion associated to CPPI. This kind of Power options corresponds in particular to the solution of a portfolio optimization problem in which an additional guarantee constraint must be satisfied at maturity. We also compare this strategy with the standard OBPI method.
Portfolio Optimization
DOWNLOAD
Author : Michael J. Best
language : en
Publisher: CRC Press
Release Date : 2010-03-09
Portfolio Optimization written by Michael J. Best and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-09 with Mathematics categories.
Eschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This practical book extends the concepts of the Markowitz "budget constraint only" model to a linearly constrained model. Only requiring elementary linear algebra, the text begins with the necessary and sufficient conditions for optimal quadratic minimization that is subject to linear equality constraints. It then develops the key properties of the efficient frontier, extends the results to problems with a risk-free asset, and presents Sharpe ratios and implied risk-free rates. After focusing on quadratic programming, the author discusses a constrained portfolio optimization problem and uses an algorithm to determine the entire (constrained) efficient frontier, its corner portfolios, the piecewise linear expected returns, and the piecewise quadratic variances. The final chapter illustrates infinitely many implied risk returns for certain market portfolios. Drawing on the author’s experiences in the academic world and as a consultant to many financial institutions, this text provides a hands-on foundation in portfolio optimization. Although the author clearly describes how to implement each technique by hand, he includes several MATLAB® programs designed to implement the methods and offers these programs on the accompanying CD-ROM.
Computational Management
DOWNLOAD
Author : Srikanta Patnaik
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Computational Management written by Srikanta Patnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Technology & Engineering categories.
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
Portfolio Optimization Using Fundamental Indicators Based On Multi Objective Ea
DOWNLOAD
Author : Antonio Daniel Silva
language : en
Publisher: Springer
Release Date : 2016-02-11
Portfolio Optimization Using Fundamental Indicators Based On Multi Objective Ea written by Antonio Daniel Silva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-11 with Technology & Engineering categories.
This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial ratios and technical indicators with a Multi-Objective Evolutionary Algorithms to choose the portfolio composition with two objectives the return and the risk. Two different chromosomes are used for representing different investment models with real constraints equivalents to the ones faced by managers of mutual funds, hedge funds, and pension funds. To validate the present solution two case studies are presented for the SP&500 for the period June 2010 until end of 2012. The simulations demonstrates that stock selection based on financial ratios is a combination that can be used to choose the best companies in operational terms, obtaining returns above the market average with low variances in their returns. In this case the optimizer found stocks with high return on investment in a conjunction with high rate of growth of the net income and a high profit margin. To obtain stocks with high valuation potential it is necessary to choose companies with a lower or average market capitalization, low PER, high rates of revenue growth and high operating leverage
Portfolio Optimization With Different Information Flow
DOWNLOAD
Author : Caroline Hillairet
language : en
Publisher: Elsevier
Release Date : 2017-02-10
Portfolio Optimization With Different Information Flow written by Caroline Hillairet and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-10 with Business & Economics categories.
Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory.The authors apply the theory of the enlargement of filtrations and solve the optimization problem. Two main types of enlargement of filtration are discussed: initial and progressive, using tools from various fields, such as from stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical analysis is applied in different market settings to provide a good basis for the understanding of portfolio optimization with different information flow. Presents recent progress of stochastic portfolio optimization with exotic filtrations Shows you how to apply the tools of the enlargement of filtrations to resolve the optimization problem Uses tools from various fields from enlargement of filtration theory, stochastic calculus, convex analysis, optimal stochastic control, and backward stochastic differential equations
Portfolio Management Using Black Litterman
DOWNLOAD
Author : Henning Padberg
language : en
Publisher: GRIN Verlag
Release Date : 2008-01-24
Portfolio Management Using Black Litterman written by Henning Padberg and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-24 with Business & Economics categories.
Seminar paper from the year 2007 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, University of Münster (Finance Center Münster), course: Betriebliche Finanzierung (Finance Seminar), language: English, abstract: The Black-Litterman optimization model is based on the idea of efficient markets and the capital asset pricing model (CAPM). The BL model enhances standard mean-variance optimization by implementing market views into the optimization process (probability theory). Investors obtain sophisticated and reasonable asset allocations. Portfolio management usually comprises asset allocation decisions with the goal of creating diversified portfolios. Managers can consult quantitative models to support their decision-making process. Fischer Black and Robert Litterman (1992) developed the Black-Litterman (BL) optimization model. It is based on the idea of efficient markets, the capital asset pricing model of Sharpe (1964) and Lintner (1965), as well as the established mean-variance optimization (MVO) developed by Markowitz (1952), and conditional probability theory dating back to Bayes (1763). Starting point of the BL model is the assumption that equilibrium markets and market cap. weights provide the investor with Implied Returns. The BL model uses a mixed estimation technique to incorporate investors’ Views into return forecasts. It is possible to implement relative and absolute opinions regarding expected returns of assets with different levels of confidence. These Views enable an adjustment of equilibrium Implied Returns, which forms a new expectation of BL Revised Implied Returns. As a result of optimization with BL input data, the investor gets new optimal portfolio weights. The motivation of Black and Litterman (1992) to develop a new portfolio optimization tool was a lack of acceptance of the Markowitz algorithm within professional asset managers. There aim was to shape a model which can overcome the weaknesses of MVO and which combines a quantitative and qualitative approach. Consequently, the BL model tackles the weakest point of MVO, its sensitivity to the return forecasts and allows taking active Views. This paper is structured in the following sections: First, it shows the basic principles on which the BL model is founded. Then, it illustrates the model by means of its assumptions, the general approach, and the math involved. Finally, it evaluates the model in a critical review, provides an overview of applicable extensions, and addresses the issues of practicability and behavioral finance.
Modern Portfolio Optimization With Nuopttm S Plus And S Bayestm
DOWNLOAD
Author : Bernd Scherer
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-05
Modern Portfolio Optimization With Nuopttm S Plus And S Bayestm written by Bernd Scherer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-05 with Business & Economics categories.
In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management. This trend will only accelerate in the coming years. This practical handbook fills the gap between current university instruction and current industry practice. It provides a comprehensive computationally-oriented treatment of modern portfolio optimization and construction methods using the powerful NUOPT for S-PLUS optimizer.