Applied quantitative methods for trading and investment by Christian L. Dunis, Jason Laws, Patrick NaГЇm

Applied quantitative methods for trading and investment



Download Applied quantitative methods for trading and investment




Applied quantitative methods for trading and investment Christian L. Dunis, Jason Laws, Patrick NaГЇm
Language: English
Page: 432
Format: pdf
ISBN: 0470848855, 9780470848852
Publisher: Wiley

This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.

Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.

The unusually wide-ranging methodologies include not only the 'traditional' financial econometrics but also technical analysis systems and many nonparametric tools from the fields of data mining and artificial intelligence. However, for those readers wishing to skip the more theoretical developments, the practical application of even the most advanced techniques is made as accessible as possible.

The book will be read by quantitative analysts and traders, fund managers, risk managers; graduate students in finance and MBA courses.

From the Back Cover

This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.

Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.

The unusually wide-ranging methodologies include not only the 'traditional' financial econometrics but also technical analysis systems and many nonparametric tools from the fields of data mining and artificial intelligence. However, for those readers wishing to skip the more theoretical developments, the practical application of even the most advanced techniques is made as accessible as possible.

The book will be read by quantitative analysts and traders, fund managers, risk managers; graduate students in finance and MBA courses.

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