Xue-Zhong He – författare
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4 produkter
4 produkter
Inbunden, Engelska, 2014
1 076 kr
Skickas inom 10-15 vardagar
Nonlinear Economic Dynamics and Financial Modelling
Häftad, Engelska, 2016
1 389 kr
Skickas inom 5-8 vardagar
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.
Del 21 - Dynamic Modeling and Econometrics in Economics and Finance
Derivative Security Pricing
Techniques, Methods and Applications
Inbunden, Engelska, 2015
1 989 kr
Skickas inom 10-15 vardagar
The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling.
Del 21 - Dynamic Modeling and Econometrics in Economics and Finance
Derivative Security Pricing
Techniques, Methods and Applications
Häftad, Engelska, 2016
1 932 kr
Skickas inom 10-15 vardagar
The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling. By focusing more on the financial intuition of the applications rather than the mathematical formalities, the book provides the essential knowledge and understanding of fundamental concepts of stochastic finance, and how to implement them to develop pricing models for derivatives as well as to model spot and forward interest rates. Furthermore an extensive overview of the associated literature is presented and its relevance and applicability are discussed. Most of the key concepts are covered including Ito’s Lemma, martingales, Girsanov’s theorem, Brownian motion, jump processes, stochastic volatility, American feature and binomial trees. The book is beneficial to higher-degree research students, academics and practitioners as it provides the elementary theoretical tools to apply the techniques of stochastic finance in research or industrial problems in the field.