Economic and Financial Modeling with Mathematica®
Economic and Financial Modeling with Mathematica®

Author: Hal R. Varian

Publisher: Springer

Published: 2013-11-21

Total Pages: 480

ISBN-13: 1475722818

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Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems. In the hands of economists, financial analysts and other professionals in econometrics and the quantitative sector of economic and financial modeling, it can be an invaluable tool for modeling and simulation on a large number of issues and problems, besides easily grinding out numbers, doing statistical estimations and rendering graphical plots and visuals. Mathematica enables these individuals to do all of this in a unified environment. This book's main use is that of an applications handbook. Modeling in Economics and Finance with Mathematica is a compilation of contributed papers prepared by experienced, "hands on" users of the Mathematica program. They come from

Computational Economics and Finance
Computational Economics and Finance

Author: Hal R. Varian

Publisher: Springer Science & Business Media

Published: 1996-08-09

Total Pages: 486

ISBN-13: 9780387945187

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This collection of articles is edited by Hal Varian, Dean of the School of Information Management and Systems, University of California, Berkeley. It provides a high quality and practical selection of contributed articles that impart the expertise of an international contingent of Mathematica users from the economic, financial, investments, quantitative business and operations research communities.

The Mathematics of Financial Modeling and Investment Management
The Mathematics of Financial Modeling and Investment Management

Author: Sergio M. Focardi

Publisher: John Wiley & Sons

Published: 2004-04-12

Total Pages: 802

ISBN-13: 0471674230

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the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques.

Mathematical Modeling in Economics and Finance: Probability, Stochastic Processes, and Differential Equations
Mathematical Modeling in Economics and Finance: Probability, Stochastic Processes, and Differential Equations

Author: Steven R. Dunbar

Publisher: American Mathematical Soc.

Published: 2019-04-03

Total Pages: 250

ISBN-13: 1470448394

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Mathematical Modeling in Economics and Finance is designed as a textbook for an upper-division course on modeling in the economic sciences. The emphasis throughout is on the modeling process including post-modeling analysis and criticism. It is a textbook on modeling that happens to focus on financial instruments for the management of economic risk. The book combines a study of mathematical modeling with exposure to the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the solutions to stochastic differential equations. They will understand how to use those tools to model the management of financial risk. They will gain a deep appreciation for the modeling process and learn methods of testing and evaluation driven by data. The reader of this book will be successfully positioned for an entry-level position in the financial services industry or for beginning graduate study in finance, economics, or actuarial science. The exposition in Mathematical Modeling in Economics and Finance is crystal clear and very student-friendly. The many exercises are extremely well designed. Steven Dunbar is Professor Emeritus of Mathematics at the University of Nebraska and he has won both university-wide and MAA prizes for extraordinary teaching. Dunbar served as Director of the MAA's American Mathematics Competitions from 2004 until 2015. His ability to communicate mathematics is on full display in this approachable, innovative text.

Mathematical Methods and Models for Economists
Mathematical Methods and Models for Economists

Author: Angel de la Fuente

Publisher: Cambridge University Press

Published: 2000-01-28

Total Pages: 630

ISBN-13: 9780521585293

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A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.

Hypermodels in Mathematical Finance
Hypermodels in Mathematical Finance

Author: Siu-Ah Ng

Publisher: World Scientific

Published: 2003

Total Pages: 313

ISBN-13: 9812564527

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At the beginning of the new millennium, two unstoppable processes aretaking place in the world: (1) globalization of the economy; (2)information revolution. As a consequence, there is greaterparticipation of the world population in capital market investment, such as bonds and stocks and their derivatives

Mathematical Modeling in Economics, Ecology and the Environment
Mathematical Modeling in Economics, Ecology and the Environment

Author: N.V. Hritonenko

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 225

ISBN-13: 1441997334

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The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...

Foundations of Mathematical and Computational Economics
Foundations of Mathematical and Computational Economics

Author: Kamran Dadkhah

Publisher: Springer Science & Business Media

Published: 2011-01-11

Total Pages: 547

ISBN-13: 3642137482

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This is a book on the basics of mathematics and computation and their uses in economics for modern day students and practitioners. The reader is introduced to the basics of numerical analysis as well as the use of computer programs such as Matlab and Excel in carrying out involved computations. Sections are devoted to the use of Maple in mathematical analysis. Examples drawn from recent contributions to economic theory and econometrics as well as a variety of end of chapter exercises help to illustrate and apply the presented concepts.

Shifting Economic, Financial and Banking Paradigm
Shifting Economic, Financial and Banking Paradigm

Author: Samsul Ariffin Abdul Karim

Publisher: Springer Nature

Published: 2021-08-13

Total Pages: 159

ISBN-13: 3030796108

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This book presents the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. Since the economy and finance, as well as the banking sector in the ASEAN region, have been growing years by years, there is the need for the policymakers and relevant agencies to study the ideas on shifting the ASEAN economy, finance, and banking towards globalization through a new paradigm. Furthermore, the recent COVID-19 pandemic has affected not just human lives but also the economic and financial sectors. Because of COVID-19, most countries around the world have imposed lockdown and moving control order (MCO) as well as conditionally moving control order (CMCO). In this book, we tackle the main ideas on shifting the economy, finance, and banking sectors among ASEAN countries into a new paradigm. The researchers used econometric, mathematics, statistics, and quantitative sciences to study many economic, finance, and banking issues such as cryptocurrency, consumer preferences, and good governance. This book presents various new and novel results, methods, and algorithms. The findings of this book shall benefit the ASEAN policymakers, investors, and other relevant agencies. This book is also suitable for postgraduate students, researchers, and other scientists who work in econometric, finance, banking, and numerical simulation.