Nonlinear Economic Dynamics and Financial Modelling

Essays in Honour of Carl Chiarella

Nonfiction, Science & Nature, Mathematics, Applied, Business & Finance, Economics, Theory of Economics
Cover of the book Nonlinear Economic Dynamics and Financial Modelling by , Springer International Publishing
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Author: ISBN: 9783319074702
Publisher: Springer International Publishing Publication: July 26, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319074702
Publisher: Springer International Publishing
Publication: July 26, 2014
Imprint: Springer
Language: English

This book reflects the state of the art on nonlinear economic dynamics, financial market modelling and quantitative finance. It contains eighteen papers with topics ranging from disequilibrium macroeconomics, monetary dynamics, monopoly, financial market and limit order market models with boundedly rational heterogeneous agents to estimation, time series modelling and empirical analysis and from risk management of interest-rate products, futures price volatility and American option pricing with stochastic volatility to evaluation of risk and derivatives of electricity market. The book illustrates some of the most recent research tools in these areas and will be of interest to economists working in economic dynamics and financial market modelling, to mathematicians who are interested in applying complexity theory to economics and finance and to market practitioners and researchers in quantitative finance interested in limit order, futures and electricity market modelling, derivative pricing and risk management.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book reflects the state of the art on nonlinear economic dynamics, financial market modelling and quantitative finance. It contains eighteen papers with topics ranging from disequilibrium macroeconomics, monetary dynamics, monopoly, financial market and limit order market models with boundedly rational heterogeneous agents to estimation, time series modelling and empirical analysis and from risk management of interest-rate products, futures price volatility and American option pricing with stochastic volatility to evaluation of risk and derivatives of electricity market. The book illustrates some of the most recent research tools in these areas and will be of interest to economists working in economic dynamics and financial market modelling, to mathematicians who are interested in applying complexity theory to economics and finance and to market practitioners and researchers in quantitative finance interested in limit order, futures and electricity market modelling, derivative pricing and risk management.

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