Business Economics and Finance with MATLAB, GIS, and Simulation Models PDF Download

Author: Patrick L. Anderson
Publisher: CRC Press
ISBN: 0203494652
Category : Mathematics
Languages : en
Pages : 499

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Book Description
This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Author: Alexandrova-Kabadjova, Biliana
Publisher: IGI Global
ISBN: 1466620129
Category : Business & Economics
Languages : en
Pages : 459

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Book Description
Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.

Author: Robert C. Meier
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 458

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Book Description

Author: Jonathan P. Pinder
Publisher: Academic Press
ISBN: 0323991173
Category : Business & Economics
Languages : en
Pages : 513

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Book Description
Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. - Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making - Explains the processes needed to develop, report and analyze business data - Describes how to use and apply business analytics software - Offers expanded coverage on the value and application of prescriptive analytics - Includes a wealth of illustrative exercises that are newly organized by difficulty level - Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Author: Robert C. Meier
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 392

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Book Description
Management development guide on simulation techniques applicable to scientific management and economics - covers pert (network analysis), business organization, quality control, models of dynamics in industry, econometrics, computer programmes and language, systems design, etc. Bibliography at the end of each chapter.

Author: Shu-Heng Chen
Publisher: Springer
ISBN: 331999624X
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
This title brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and nonlinear dynamics in economics. The book contains the proceedings of the CEF2015 (21st Computing in Economics in Finance), held 20-22 June 2015 in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems. The breakthroughs reported in this book are a result of an interdisciplinary approach and simulation remains the unifying theme for these papers as they deal with a wide range of topics in economics. The text is a valuable addition to the efforts in promoting the complex systems view in economic science. The computational experiments reported in the book are both transparent and replicable. Complex System Modeling and Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same time it serves as a good overview for researchers who are interested in the topic.

Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 1118594517
Category : Business & Economics
Languages : en
Pages : 620

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Book Description
An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

Author: Robert Y. Cavana
Publisher: Springer Nature
ISBN: 3030671909
Category : Business & Economics
Languages : en
Pages : 593

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Book Description
This book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling. The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world. "Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris Nord

Author: Andrew Greasley
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1547400692
Category : Business & Economics
Languages : en
Pages : 352

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Book Description
This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

Author: Wendy Carlin
Publisher: Oxford University Press
ISBN: 0198838662
Category :
Languages : en
Pages : 1019

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Book Description
At the cutting edge of the subject area, the authors bring the macroeconomics that researchers and policymakers use today into focus. By developing a coherent set of tractable models, the book enables students to explore and make sense of the pressing questions facing global economies.Carlin and Soskice connect students with contemporary research and policy in macroeconomics. The authors' 3-equation model - extended to include the financial system and with an integrated treatment of inequality - equips students with a method they can apply to the enduring challenges stirred by the financial crisis and the Great Recession.Key features* Engaged with the latest developments in macroeconomic research, policy, and debate, the authors make the cutting edge accessible to undergraduate readers* The theme of inequality is integrated throughout in modelling and applications, with incomplete contracts in labour and credit markets underpinning the presence of involuntary unemployment and credit constraints* The content distils business cycles into a 3-equation model of the demand side, the supply side, and the policy maker, providing a realistic and transparent model which students can deploy to address the questions that interest them* Open economy modelling for both flexible and fixed exchange rate regimes builds on the same foundations and handles oil and climate shocks, as well as the Eurozone crisis* Features thorough treatment of the financial system and how to integrate the financial and business cycles, including coverage on policy design and implementation for financial stability in the wake of the 2008-9 financial crisis and an exploration of hysteresis in the context of the Great Recession* Comprehensive coverage of monetary policy including the ample reserves regime and of fiscal policy and debt dynamics* Unified treatment of exogenous and endogenous growth models emphasizing the different mechanisms through which diminishing returns to capital can be offset, while Chapter 17 on the ICT revolution examines the implications of innovation and technological change on the future of work and inequality* Contains a chapter considering contemporary quantitative macroeconomics research - including the Heterogeneous Agent New Keynesian (HANK) model - exposing students to the tools that researchers currently use, as well as the benefits and limitations of these methods* End-of-chapter 'Checklist questions' enable students to assess their comprehension, while 'Problems' prompt students to apply independent critical thought* Also available as an e-book enhanced with access to The Macroeconomic Simulator, Animated Analytical Diagrams, and self-assessment activities enabling students to recap content and investigate how models work at their own paceDigital formats and resourcesThis title is available for students and institutions to purchase in a variety of formats and is supported by online resources.The e-book offers a mobile experience and convenient access along with self-assessment activities, multi-media content, and links that offer extra learning support. For more information visit:www.oxfordtextbooks.co.uk/ebooks/This title is supported by a range of online resource for students including multiple-choice-questions with instant feedback, interactive Animated Analytical Diagrams, access to The Macroeconomic Simulator, web appendices which develop chapters 1, 4, 7, and 18, In addition, lecturers can access PowerPoint slides to accompany each chapter and answers to the problems and questions set in the book.