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Operations Research Models in Quantitative Finance

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 574/5 ( reviews)

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Book Synopsis Operations Research Models in Quantitative Finance by : Rita L. D'Ecclesia

Download or read book Operations Research Models in Quantitative Finance written by Rita L. D'Ecclesia. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: The articles included in the volume cover a range of diverse topics linked by a common theme: the use of formal modelling techniques to promote better understanding of financial markets and improve management of financial operations. Apart from a theoretical discussion, most of the papers model validation or verification using market data. This collection of articles sets the framework for other studies that could link theory and practice.

Operations Research Models in Quantitative Finance

1994
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Release : 1994
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Operations Research Models in Quantitative Finance by : Rita L. D'Ecclesia

Download or read book Operations Research Models in Quantitative Finance written by Rita L. D'Ecclesia. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:

Operations Research Models and Methods

2002-10-08 Technology & Engineering
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Release : 2002-10-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 040/5 ( reviews)

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Book Synopsis Operations Research Models and Methods by : Paul A. Jensen

Download or read book Operations Research Models and Methods written by Paul A. Jensen. This book was released on 2002-10-08. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.

Quantitative Models for Supply Chain Management

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 493/5 ( reviews)

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Book Synopsis Quantitative Models for Supply Chain Management by : Sridhar Tayur

Download or read book Quantitative Models for Supply Chain Management written by Sridhar Tayur. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.

Hidden Markov Models in Finance

2014-05-14 Business & Economics
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Release : 2014-05-14
Genre : Business & Economics
Kind : eBook
Book Rating : 423/5 ( reviews)

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Book Synopsis Hidden Markov Models in Finance by : Rogemar S. Mamon

Download or read book Hidden Markov Models in Finance written by Rogemar S. Mamon. This book was released on 2014-05-14. Available in PDF, EPUB and Kindle. Book excerpt: Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance. This handbook offers systemic applications of different methodologies that have been used for decision making solutions to the financial problems of global markets. As the follow-up to the authors’ Hidden Markov Models in Finance (2007), this offers the latest research developments and applications of HMMs to finance and other related fields. Amongst the fields of quantitative finance and actuarial science that will be covered are: interest rate theory, fixed-income instruments, currency market, annuity and insurance policies with option-embedded features, investment strategies, commodity markets, energy, high-frequency trading, credit risk, numerical algorithms, financial econometrics and operational risk. Hidden Markov Models in Finance: Further Developments and Applications, Volume II presents recent applications and case studies in finance and showcases the formulation of emerging potential applications of new research over the book’s 11 chapters. This will benefit not only researchers in financial modeling, but also others in fields such as engineering, the physical sciences and social sciences. Ultimately the handbook should prove to be a valuable resource to dynamic researchers interested in taking full advantage of the power and versatility of HMMs in accurately and efficiently capturing many of the processes in the financial market.

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