State-Space Approaches for Modelling and Control in Financial Engineering

State-Space Approaches for Modelling and Control in Financial Engineering
Author: Gerasimos G. Rigatos
Publisher: Springer
Total Pages: 329
Release: 2017-04-04
Genre: Technology & Engineering
ISBN: 3319528661
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The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary differential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial differential equations (e.g. the Black–Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making. The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established. Covering the following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community

State-Space Models

State-Space Models
Author: Yong Zeng
Publisher: Springer Science & Business Media
Total Pages: 358
Release: 2013-08-15
Genre: Business & Economics
ISBN: 1461477891
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State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.

Modelling and Forecasting Financial Data

Modelling and Forecasting Financial Data
Author: Abdol S. Soofi
Publisher: Springer Science & Business Media
Total Pages: 528
Release: 2002-03-31
Genre: Business & Economics
ISBN: 9780792376804
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Over the last decade, dynamical systems theory and related nonlinear methods have had a major impact on the analysis of time series data from complex systems. Recent developments in mathematical methods of state-space reconstruction, time-delay embedding, and surrogate data analysis, coupled with readily accessible and powerful computational facilities used in gathering and processing massive quantities of high-frequency data, have provided theorists and practitioners unparalleled opportunities for exploratory data analysis, modelling, forecasting, and control. Until now, research exploring the application of nonlinear dynamics and associated algorithms to the study of economies and markets as complex systems is sparse and fragmentary at best. Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK)

IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK)
Author: Gustavo Giannattasio
Publisher: John Wiley & Sons
Total Pages: 548
Release: 2023-09-25
Genre: Technology & Engineering
ISBN: 1119987628
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IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) IEEE TEMS Board of Directors-approved body of knowledge dedicated to technology and engineering management The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) establishes a set of common practices for technology and engineering management, acts as a reference for entrepreneurs, establishes a basis for future official certifications, and summarizes the literature on the management field in order to publish reference documentation for new initiatives. The editors have used a template approach with authors that instructed them on how to introduce their manuscript, how to organize the technology and area fundamentals, the managing approach, techniques and benefits, realistic examples that show the application of concepts, recommended best use (focusing on how to identify the most adequate approach to typical cases), with a summary and conclusion of each section, plus a list of references for further study. The book is structured according to the following area knowledge chapters: business analysis, technology adoption, innovation, entrepreneurship, project management, digital disruption, digital transformation of industry, data science and management, and ethics and legal issues. Specific topics covered include: Market requirement analysis, business analysis for governance planning, financial analysis, evaluation and control, and risk analysis of market opportunities Leading and managing working groups, optimizing group creation and evolution, enterprise agile governance, and leading agile organizations and working groups Marketing plans for new products and services, risk analysis and challenges for entrepreneurs, and procurement and collaboration Projects, portfolios and programs, economic constraints and roles, integration management and control of change, and project plan structure The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) will appeal to engineers, graduates, and professionals who wish to prepare for challenges in initiatives using new technologies, as well as managers who are responsible for conducting business involving technology and engineering.

Applied Physics, System Science and Computers II

Applied Physics, System Science and Computers II
Author: Klimis Ntalianis
Publisher: Springer
Total Pages: 294
Release: 2018-06-25
Genre: Technology & Engineering
ISBN: 3319756052
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This book reports on advanced theories and methods in three related fields of research: applied physics, system science and computers. It is organized in three parts, the first of which covers applied physics topics, including lasers and accelerators; condensed matter, soft matter and materials science; nanoscience and quantum engineering; atomic, molecular, optical and plasma physics; as well as nuclear and high-energy particle physics. It also addresses astrophysics, gravitation, earth and environmental science, as well as medical and biological physics. The second and third parts focus on advances in computers and system science, respectively, and report on automatic circuit control, power systems, computer communication, fluid mechanics, simulation and modeling, software engineering, data structures and applications of artificial intelligence among other areas. Offering a collection of contributions presented at the 2nd International Conference on Applied Physics, System Science and Computers (APSAC), held in Dubrovnik, Croatia on September 27–29, 2017, the book bridges the gap between applied physics and electrical engineering. It not only to presents new methods, but also promotes collaborations between different communities working on related topics at the interface between physics and engineering, with a special focus on communication, data modeling and visualization, quantum information, applied mechanics as well as bio and geophysics.

Advances in Applied Nonlinear Optimal Control

Advances in Applied Nonlinear Optimal Control
Author: Gerasimos Rigatos
Publisher: Cambridge Scholars Publishing
Total Pages: 741
Release: 2020-11-19
Genre: Technology & Engineering
ISBN: 1527562468
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This volume discusses advances in applied nonlinear optimal control, comprising both theoretical analysis of the developed control methods and case studies about their use in robotics, mechatronics, electric power generation, power electronics, micro-electronics, biological systems, biomedical systems, financial systems and industrial production processes. The advantages of the nonlinear optimal control approaches which are developed here are that, by applying approximate linearization of the controlled systems’ state-space description, one can avoid the elaborated state variables transformations (diffeomorphisms) which are required by global linearization-based control methods. The book also applies the control input directly to the power unit of the controlled systems and not on an equivalent linearized description, thus avoiding the inverse transformations met in global linearization-based control methods and the potential appearance of singularity problems. The method adopted here also retains the known advantages of optimal control, that is, the best trade-off between accurate tracking of reference setpoints and moderate variations of the control inputs. The book’s findings on nonlinear optimal control are a substantial contribution to the areas of nonlinear control and complex dynamical systems, and will find use in several research and engineering disciplines and in practical applications.

Robotic Manipulators and Vehicles

Robotic Manipulators and Vehicles
Author: Gerasimos Rigatos
Publisher: Springer
Total Pages: 759
Release: 2018-05-24
Genre: Technology & Engineering
ISBN: 331977851X
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This monograph addresses problems of: • nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom rigid-link robots, flexible-link robots, underactuated, redundant and cooperating manipulators and closed-chain robotic mechanisms); and• nonlinear control, estimation and filtering for autonomous robotic vehicles operating on the ground, in the air, and on and under water, independently and in cooperating groups. The book is a thorough treatment of the entire range of applications of robotic manipulators and autonomous vehicles. The nonlinear control and estimation methods it develops can be used generically, being suitable for a wide range of robotic systems. Such methods can improve robustness, precision and fault-tolerance in robotic manipulators and vehicles at the same time as enabling the reliable functioning of these systems under variable conditions, model uncertainty and external perturbations.

Handbooks in Operations Research and Management Science: Financial Engineering

Handbooks in Operations Research and Management Science: Financial Engineering
Author: John R. Birge
Publisher: Elsevier
Total Pages: 1026
Release: 2007-11-16
Genre: Business & Economics
ISBN: 9780080553252
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The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.

Handbook of Financial Engineering

Handbook of Financial Engineering
Author: Constantin Zopounidis
Publisher: Springer Science & Business Media
Total Pages: 516
Release: 2008-08-19
Genre: Business & Economics
ISBN: 9780387766812
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This comprehensive handbook discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems. The book is intended for financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to financial engineering.

Mathematical Systems Theory in Biology, Communications, Computation and Finance

Mathematical Systems Theory in Biology, Communications, Computation and Finance
Author: Joachim Rosenthal
Publisher: Springer Science & Business Media
Total Pages: 508
Release: 2012-12-06
Genre: Science
ISBN: 0387216960
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This volume contains survey and research articles by some of the leading researchers in mathematical systems theory - a vibrant research area in its own right. Many authors have taken special care that their articles are self-contained and accessible also to non-specialists.