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Author: Stavros A. Zenios
Publisher: Cambridge University Press
ISBN: 9780521577779
Category : Business & Economics
Languages : en
Pages : 374
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Book Description
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.
Author: Stavros A. Zenios
Publisher: Cambridge University Press
ISBN: 9780521577779
Category : Business & Economics
Languages : en
Pages : 374
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Book Description
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.
Author: Gérard Cornuéjols
Publisher: Cambridge University Press
ISBN: 1107056748
Category : Business & Economics
Languages : en
Pages : 351
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Book Description
Full treatment, from model formulation to computational implementation, of optimization techniques that solve central problems in finance.
Author: Soren S Nielson
Publisher: John Wiley & Sons
ISBN: 1444317237
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System. ‘GAMS’ consists of a language which allows a high-level, algebraic representation of mathematical models and a set of solvers – numerical algorithms – to solve them. The system was developed in response to the need for powerful and flexible front-end tools to manage large, real-life models. The work begins with an overview of the structure of the GAMS language, and discusses issues relating to the management of data in GAMS models. The authors provide models for mean-variance portfolio optimization which address the question of trading off the portfolio expected return against its risk. Fixed income portfolio optimization models perform standard calculations and allow the user to bootstrap a yield curve from bond prices. Dedication models allow for standard portfolio dedication with borrowing and re-investment decisions, and are extended to deal with maximisation of horizon return and to incorporate various practical considerations on the portfolio tradeability. Immunization models provide for the factor immunization of portfolios of treasury and corporate bonds. The scenario-based portfolio optimization problem is addressed with mean absolute deviation models, tracking models, regret models, conditional VaR models, expected utility maximization models and put/call efficient frontier models. The authors employ stochastic programming for dynamic portfolio optimization, developing stochastic dedication models as stochastic extensions of the fixed income models discussed in chapter 4. Two-stage and multi-stage stochastic programs extend the scenario models analysed in Chapter 5 to allow dynamic rebalancing of portfolios as time evolves and new information becomes known. Models for structuring index funds and hedging interest rate risk on international portfolios are also provided. The final chapter provides a set of ‘case studies’: models for large-scale applications of portfolio optimization, which can be used as the basis for the development of business support systems to suit any special requirements, including models for the management of participating insurance policies and personal asset allocation. The title will be a valuable guide for quantitative developers and analysts, portfolio and asset managers, investment strategists and advanced students of finance.
Author: Christodoulos A. Floudas
Publisher: Springer Science & Business Media
ISBN: 0387747583
Category : Mathematics
Languages : en
Pages : 4646
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Book Description
The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".
Author: Marida Bertocchi
Publisher: Springer Science & Business Media
ISBN: 9781441995865
Category : Business & Economics
Languages : en
Pages : 476
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Book Description
This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years to facilitate the growing penetration of stochastic programming techniques in real-world applications, inducing a significant advance over a large spectrum of complex decision problems. After the recent widespread liberalization of the energy sector in Europe and the unprecedented growth of energy prices in international commodity markets, we have witnessed a significant convergence of strategic decision problems in the energy and financial sectors. This has often resulted in common open issues and has induced a remarkable effort by the industrial and scientific communities to facilitate the adoption of advanced analytical and decision tools. The main concerns of the financial community over the last decade have suddenly penetrated the energy sector inducing a remarkable scientific and practical effort to address previously unforeseeable management problems. Stochastic Optimization Methods in Finance and Energy: New Financial Products and Energy Markets Strategies aims to include in a unified framework for the first time an extensive set of contributions related to real-world applied problems in finance and energy, leading to a common methodological approach and in many cases having similar underlying economic and financial implications. Part 1 of the book presents 6 chapters related to financial applications; Part 2 presents 7 chapters on energy applications; and Part 3 presents 5 chapters devoted to specific theoretical and computational issues.
Author: SAMET AKDAG
Publisher: SAMET AKDAG
ISBN:
Category : Business & Economics
Languages : en
Pages : 62
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Book Description
Dear Reader, Welcome to "Budget Analysis and Optimization," an e-book designed to empower individuals like you to take control of their financial journey. Whether you're starting on the path to financial independence or looking to refine your budgeting practices, this resource will provide valuable insights, strategies, and tools to optimize your financial well-being. In the following pages, you'll embark on a transformative journey, exploring the principles of budget analysis and optimization. You'll learn the importance of understanding your current budget and gathering financial information. Uncover hidden expenses, identify money leaks, and make mindful spending choices. Discover the art of prioritizing spending, setting clear financial goals, and explore various budgeting methods. Learn to set up and track your budget effectively, ensuring your financial plan aligns with your aspirations. Delve into optimizing spending, maximizing value in areas such as groceries, utility bills, transportation, and entertainment. Learn practical strategies to reduce costs without sacrificing the quality of your life. Recognize the significance of saving for the future. Build an emergency fund, plan for retirement, and set long-term financial goals. Adapt your budget to life changes and stay on track towards financial success. Find a recap of key takeaways, essential principles, and actions for financial well-being. Embrace a mindset of financial empowerment, continuously educate yourself, and seek professional guidance when needed. Throughout this e-book, you'll encounter practical advice, real-life examples, and actionable steps to take control of your finances and achieve your financial dreams. Remember, financial success is a lifelong commitment. Immerse yourself in the knowledge and wisdom presented here. Embrace the strategies and insights shared by experts in personal finance. May this e-book be your guide, providing you with the tools and inspiration to embark on a transformative journey towards financial freedom. On behalf of the authors and the entire team behind "Budget Analysis and Optimization," I extend my warmest wishes for your success. May this resource serve as a catalyst for positive change in your financial life, empowering you to create a brighter and more secure future. Sincerely, SAMET AKDAG Copyright © 2023 by Samet AKDAG. All rights reserved. www.traveler-roadmap.com
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Author: W. T. Ziemba
Publisher: Academic Press
ISBN: 1483273997
Category : Business & Economics
Languages : en
Pages : 736
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Book Description
Stochastic Optimization Models in Finance focuses on the applications of stochastic optimization models in finance, with emphasis on results and methods that can and have been utilized in the analysis of real financial problems. The discussions are organized around five themes: mathematical tools; qualitative economic results; static portfolio selection models; dynamic models that are reducible to static models; and dynamic models. This volume consists of five parts and begins with an overview of expected utility theory, followed by an analysis of convexity and the Kuhn-Tucker conditions. The reader is then introduced to dynamic programming; stochastic dominance; and measures of risk aversion. Subsequent chapters deal with separation theorems; existence and diversification of optimal portfolio policies; effects of taxes on risk taking; and two-period consumption models and portfolio revision. The book also describes models of optimal capital accumulation and portfolio selection. This monograph will be of value to mathematicians and economists as well as to those interested in economic theory and mathematical economics.
Author: Dessislava A. Pachamanova
Publisher: John Wiley & Sons
ISBN: 0470882123
Category : Business & Economics
Languages : en
Pages : 786
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Book Description
An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications. Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB) Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.
Author: Bruce D. Craven
Publisher: Springer Science & Business Media
ISBN: 0387242805
Category : Business & Economics
Languages : en
Pages : 161
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Book Description
Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.
Author: Singh, Amandeep
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.
