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Business Economics and Finance with MATLAB, GIS, and Simulation Models by Patrick L. Anderson Pdf
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 : Robert C. Meier,William T. Newell,Harold L. Pazer Publisher : Prentice Hall Page : 392 pages File Size : 47,6 Mb Release : 1969 Category : Business & Economics ISBN : STANFORD:36105033812269
Simulation in Business and Economics by Robert C. Meier,William T. Newell,Harold L. Pazer Pdf
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.
Simulation in Computational Finance and Economics: Tools and Emerging Applications by Alexandrova-Kabadjova, Biliana Pdf
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.
Complex Systems Modeling and Simulation in Economics and Finance by Shu-Heng Chen,Ying-Fang Kao,Ragupathy Venkatachalam,Ye-Rong Du Pdf
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.
Introduction to Business Analytics Using Simulation by Jonathan P. Pinder Pdf
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
Simulation Modelling for Business by Andrew Greasley Pdf
Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.
System Dynamics by Bilash Kanti Bala,Fatimah Mohamed Arshad,Kusairi Mohd Noh Pdf
This book covers the broad spectrum of system dynamics methodologies for the modelling and simulation of complex systems: systems thinking, causal diagrams, systems structure of stock and flow diagrams, parameter estimation and tests for confidence building in system dynamics models. It includes a comprehensive review of model validation and policy design and provides a practical presentation of system dynamics modelling. It also offers numerous worked-out examples and case studies in diverse fields using STELLA and VENSIM. The system dynamics methodologies presented here can be applied to nearly all areas of research and planning, and the simulations provided make the complicated issues more easily understandable. System Dynamics: Modelling and Simulation is an essential system dynamics and systems engineering textbook for undergraduate and graduate courses. It also offers an excellent reference guide for managers in industry and policy planners who wish to use modelling and simulation to manage complex systems more effectively, as well as researchers in the fields of modelling and simulation-based systems thinking.
Essays in Economic Dynamics by Akio Matsumoto,Ferenc Szidarovszky,Toichiro Asada Pdf
This book reflects the state of the art in nonlinear economic dynamics, providing a broad overview of dynamic economic models at different levels. The wide variety of approaches ranges from theoretical and simulation analysis to methodological study. In particular, it examines the local and global asymptotical behavior of both macro- and micro- level mathematical models, theoretically as well as using simulation. It also focuses on systems with one or more time delays for which new methodology has to be developed to investigate their asymptotic properties. The book offers a comprehensive summary of the existing methodology with extensions to the more complex model variants, since considerations on bounded rationality of complex economic behavior provide the foundation underlying choice-theoretic and policy-oriented studies of macro behavior, which impact the real macro economy. It includes 13 chapters addressing traditional models such as monopoly, duopoly and oligopoly in microeconomics and Keynesian, Goodwinian, and Kaldor–Kaleckian models in macroeconomics. Each chapter presents new aspects of these traditional models that have never been seen before. This work renews the past wisdom and reveals tomorrow's knowledge.
Business Simulation by Markus Baum,Jörg Dickerboom,Marco Hackstein,Marcel Mehling Pdf
Template, Example from the year 2010 in the subject Business economics - Operations Research, The University of Surrey (School of Management), language: English, abstract: Abstract Business simulation is simulation used for business training or analysis. It can be scenario-based or numeric-based. Most business simulations are used for business acumen training and development. Learning objectives include: strategic thinking, financial analysis, market analysis, operations, teamwork and leadership (WIKIPEDIA). The authors participated in a simulation. The results and mistakes are discussed in this presentation. The authors also discuss the theoretical foundations. This book contains the presentations illustrated and supplemented by explanatory texts. Content 1. Team Organisation 2. Environmental and internal strategic analysis 3. Strategic brief 4. Strategy review 5. Internal control system 6. Financial analysis 7. Conclusion Keyword Business simulation, reflection report, automotive industry, Team Organisation, Environmental and internal strategic analysis, strategic brief, strategy review, internal control system, financial analysis, conclusion, leadership, teamwork, storming, norming, forming, performing, PESTEL, Porter diamond, Porters five forces, start up, market penetration, profitability, new products, relaunch, R&D, KPI, Product portfolio and target markets, SOWT, marketing mix, 4 P, Product, Price, Promotion, Place, Plan, Results, Lessons learned, miscommunication, communication process, COSO, Internal control framework, 5 year trend, profitability analysis, efficiency analysis, investment analysis,
2013 Reprint of 1961 First Edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. This work has been cited as one of the most seminal works of the era. Forrester outlines industrial dynamics as an experimental, quantitative philosophy for designing corporate structure and policies that are compatible with an organization's growth and stability objectives. Forrester believes that management systems possess an orderly and identifiable framework that determines the character of industrial and economic behavior. In this volume, he presents for the first time a methodology for detecting and exhibiting this structure for study.
Consumer Behavior, Organizational Strategy and Financial Economics by Mehmet Huseyin Bilgin,Hakan Danis,Ender Demir,Ugur Can Pdf
This volume presents selected articles from the 21st Eurasia Business and Economics Society (EBES) Conference, which was held in Budapest (Hungary) in 2017. The theoretical and empirical papers in this volume cover various areas of business, economics, and finance from a diverse range of regions. In particular, this volume focuses on the latest trends in consumer behavior, new questions in the development of organizational strategy, and the interaction of financial economics with industrial economics and policy.
Handbook in Monte Carlo Simulation by Paolo Brandimarte Pdf
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 C. Meier,William T. Newell,Harold L. Pazer Publisher : Prentice Hall Page : 392 pages File Size : 51,9 Mb Release : 1969 Category : Business & Economics ISBN : WISC:89038161782
Simulation in Business and Economics by Robert C. Meier,William T. Newell,Harold L. Pazer Pdf
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.
Experimental and Quantitative Methods in Contemporary Economics by Kesra Nermend,Małgorzata Łatuszyńska Pdf
Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.
Risk Management and Simulation by Aparna Gupta Pdf
The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk managemen