Footprints of Chaos in the Markets: Analysing Non-Linear Time Series in Financial Markets and Other Real Systems

Footprints of Chaos in the Markets: Analysing Non-Linear Time Series in Financial Markets and Other Real Systems

by Richard M.A. Urbach
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Footprints of Chaos in the Markets: Analysing Non-Linear Time Series in Financial Markets and Other Real Systems 5 out of 5 based on 0 ratings. 2 reviews.
Guest More than 1 year ago
As an applied scientist the thought of deciphering the language of rigorous mathematics in any field can be a little off putting. This book is a pleasant change. With its intuitive approach at the start of each chapter, the reader is given a feel for the subject matter, something which is often lacking in texts of this level. Particularly illuminating were the chapters on dynamical systems and embeddings. They gave meaning to what most of my generation had only heard through James Gleik and those fiendish cyclone generating insects. One can see the potential of the subject stretches beyond the financial markets. For new comers to this field, the collection of algorithms and references throughout the book provide a rich starting point. The writer has provided a sound reference for the researcher and clear signposts in the mesmerizing land of non-linear dynamics.
Guest More than 1 year ago
For the mathematically literate reader Mr. Urbach provides the adequate setting in modern mathematical language for the discussion of a broad range of thinking obout dynamical systems, not only in economics, but in many other seemingly unrelated scientific fields as well. If you've ever pondered such things as the nature of solutions to sets of differential equations, statistical reasoning on 20th Century science, what exactly constitutes data anymore, and what numerical analysis can do for you, this book goes a long way toward describing the contemporary playing field. It might also help you keep a firm hand on your electronic wallet.