Mathematics For Economics And Finance - Methods And Modeling (Clpe)

Mathematics For Economics And Finance - Methods And Modeling (Clpe)
Author: Martin Anthony
Publisher:
Total Pages: 410
Release: 1996
Genre: Economics, Mathematical
ISBN: 9780521683197

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Mathematics has become indispensable in the modelling of economics, finance, business and management. Without expecting any particular background of the reader, this book covers the following mathematical topics, with frequent reference to applications in economics and finance: functions, graphs and equations, recurrences (difference equations), differentiation, exponentials and logarithms, optimisation, partial differentiation, optimisation in several variables, vectors and matrices, linear equations, Lagrange multipliers, integration, first-order and second-order differential equations. The stress is on the relation of maths to economics, and this is illustrated with copious examples and exercises to foster depth of understanding. Each chapter has three parts: the main text, a section of further worked examples and a summary of the chapter together with a selection of problems for the reader to attempt. For students of economics, mathematics, or both, this book provides an introduction to mathematical methods in economics and finance that will be welcomed for its clarity and breadth.

Mathematics for Economics and Finance

Mathematics for Economics and Finance
Author: Martin Anthony
Publisher: Cambridge University Press
Total Pages: 439
Release: 2024-05-30
Genre: Business & Economics
ISBN: 1108472397

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A concise, interactive guide to the calculus and linear algebra needed for economics and finance, with extensive examples and exercises.

经济数学和金融数学

经济数学和金融数学
Author: 安东尼
Publisher:
Total Pages: 394
Release: 1998
Genre: Economics, Mathematical
ISBN: 9787506239233

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This book is an introduction to calculus and linear algebra for students of disciplines such as economics, finance, business, management, and accounting. It is intended for readers who may have already encountered some differential calculus, and it will also be appropriate for those with less experience, possibly used in conjunction with one of the many more elementary texts on basic mathematics.

Mathematics for Economics and Finance: Methods and Modeling

Mathematics for Economics and Finance: Methods and Modeling
Author: Hope Bradley
Publisher: NY Research Press
Total Pages: 0
Release: 2023-09-26
Genre: Business & Economics
ISBN: 9781647254582

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Financial mathematics refers to the application of mathematical methods and models to financial concerns. It uses techniques from statistics, economic theory, probability, and stochastic processes. The application of mathematics to the financial sector is based on several financial or economic hypotheses. It employs abstract mathematical methods in order to build mathematical models of the functioning of financial mechanisms. Mathematics is also used in economics for building economic models that utilize mathematical methods and principles for analyzing economic problems. In economics, mathematics is used to conduct quantitative experiments and develop models for forecasting future economic growth. Mathematical economics is based on modern data methods, computing models, and other advanced mathematical applications. This book unravels the recent studies in the field of mathematical finance and mathematical economics. Most of the topics introduced herein cover new methods and modeling techniques used in mathematical finance and mathematical economics. The book will serve as a valuable source of reference for graduate and postgraduate students.

Mathematical Methods and Models for Economists

Mathematical Methods and Models for Economists
Author: Angel de la Fuente
Publisher: Cambridge University Press
Total Pages: 630
Release: 2000-01-28
Genre: Business & Economics
ISBN: 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.

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.
Total Pages: 232
Release: 2019-04-03
Genre: Economics
ISBN: 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.

Mathematics for Economics and Finance

Mathematics for Economics and Finance
Author: Michael Harrison
Publisher: Routledge
Total Pages: 700
Release: 2011-03-31
Genre: Business & Economics
ISBN: 1136819215

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The aim of this book is to bring students of economics and finance who have only an introductory background in mathematics up to a quite advanced level in the subject, thus preparing them for the core mathematical demands of econometrics, economic theory, quantitative finance and mathematical economics, which they are likely to encounter in their final-year courses and beyond. The level of the book will also be useful for those embarking on the first year of their graduate studies in Business, Economics or Finance. The book also serves as an introduction to quantitative economics and finance for mathematics students at undergraduate level and above. In recent years, mathematics graduates have been increasingly expected to have skills in practical subjects such as economics and finance, just as economics graduates have been expected to have an increasingly strong grounding in mathematics. The authors avoid the pitfalls of many texts that become too theoretical. The use of mathematical methods in the real world is never lost sight of and quantitative analysis is brought to bear on a variety of topics including foreign exchange rates and other macro level issues.

Mathematics in Economics

Mathematics in Economics
Author: Adam Ostaszewski
Publisher: Wiley-Blackwell
Total Pages: 508
Release: 1993-01-01
Genre: Business & Economics
ISBN: 9780631180555

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Mathematics in Economics is a valuable guide to the mathematical apparatus that underlies so much of modern economics. The approach to mathematics is rigorous and the mathematical techniques are always presented in the context of the economics problem they are used to solve. Students can therefore gain insight into, and familiarity with, the mathematical models and methods involved in the transition from 'phenomenon' to quantitative statement. Topics covered include sets and numbers, matrices and vectors, modelling consumer choice, discrete variables, functions, equilibrium, Eigenvalues and Eigenvectors, limits and their uses, continuity and its uses, partial differentiation, the gradient, Taylor's theorem - an approximation tool, and economic dynamics: differential equations. Each chapter ends with exercises designed to help students understand and practise the techniques they have learnt. The author has provided solutions to selected problems so that the book will function as an effective teaching tool on introductory courses in mathematics for economics, quantitative methods and for mathematicians taking a first course in economics. Mathematics in Economics has been developed from a course taught jointly by Ken Binmore (Professor of Economics) and Adam Ostaszewski (Senior Lecturer in Mathematics). This collaboration has resulted in a textbook that is a balanced and comprehensive introduction to mathematical economics.

Mathematical Methods and Models in Economic Planning, Management and Budgeting

Mathematical Methods and Models in Economic Planning, Management and Budgeting
Author: Galimkair Mutanov
Publisher: Springer
Total Pages: 364
Release: 2014-11-04
Genre: Business & Economics
ISBN: 3662451425

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This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. Regarding your book "Mathematical Methods and Models in Economics", I am impressed because now it is time when "econometrics" is becoming more appreciated by economists and by schools that are the hosts or employers of modern economists. ... Your presented results really impressed me. John F. Nash, Jr., Princeton University, Nobel Memorial Prize in Economic Sciences The book is within my scope of interest because of its novelty and practicality. First, there is a need for realistic modeling of complex systems, both natural and artificial that conclude computer and economic systems. There has been an ongoing effort in developing models dealing with complexity and incomplete knowledge. Consequently, it is clear to recognize the contribution of Mutanov to encapsulate economic modeling with emphasis on budgeting and innovation. Secondly, the method proposed by Mutanov has been verified by applying to the case of the Republic of Kazakhstan, with her vibrant emerging economy. Thirdly, Chapter 5 of the book is of particular interest for the computer technology community because it deals with innovation. In summary, the book of Mutanov should become one of the outstanding recognized pragmatic guides for dealing with innovative systems. Andrzej Rucinski, University of New Hampshire This book is unique in its theoretical findings and practical applicability. The book is an illuminating study based on an applied mathematical model which uses methods such as linear programming and input-output analysis. Moreover, this work demonstrates the author’s great insight and academic brilliance in the fields of finance, technological innovations and marketing vis-à-vis the market economy. From both theoretical and practical standpoint, this work is indeed a great achievement. Yeon Cheon Oh, President of Seoul National University

Mathematical Financial Economics

Mathematical Financial Economics
Author: Igor V. Evstigneev
Publisher: Springer
Total Pages: 217
Release: 2015-05-15
Genre: Business & Economics
ISBN: 3319165712

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This textbook is an elementary introduction to the key topics in mathematical finance and financial economics - two realms of ideas that substantially overlap but are often treated separately from each other. Our goal is to present the highlights in the field, with the emphasis on the financial and economic content of the models, concepts and results. The book provides a novel, unified treatment of the subject by deriving each topic from common fundamental principles and showing the interrelations between the key themes. Although the presentation is fully rigorous, with some rare and clearly marked exceptions, the book restricts itself to the use of only elementary mathematical concepts and techniques. No advanced mathematics (such as stochastic calculus) is used.