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Modelling decimalisation in the Nasdaq stockmarket

Modelling decimalisation in the Nasdaq stockmarket

This video was recorded at International Workshop on Advances in Machine Learning for Computational Finance (AMLCF), London 2009. During recent years, the use of intelligent systems in the financial and economic industries have increased substantially, providing a new perspective to the agenda of finance and economics by their ability to handle large amounts of financial data and simulate complex models. This field of research is known as computational finance. The most common applications of computational finance are within the area of investment banking and financial risk management, and currently employ learning methods such as Support Vector Machines, Bayesian approaches, Regression, Neural Network, Fuzzy Logic and Genetic Algorithms. The aim of the workshop is to open discussion and... Show More
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