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Item Details
Title: THE ECONOMETRICS OF FINANCIAL MARKETS
By: John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay
Format: Hardback

List price: £65.00
Our price: £52.00
Discount:
20% off
You save: £13.00
ISBN 10: 0691043019
ISBN 13: 9780691043012
Availability: Usually dispatched within 3-5 days.
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Stock: Currently 1item in stock
Publisher: PRINCETON UNIVERSITY PRESS
Pub. date: 9 December, 1996
Pages: 632
Description: Covers the spectrum of empirical finance, including the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, and the term structure of interest rates, dynamic models of economic equilibrium.
Synopsis: The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications.Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications
Publication: US
Imprint: Princeton University Press
Prizes: Winner of Eugene Fama Prize for Outstanding Contributions to Doctoral Winner of Association of American Publishers Award for Best Winner of Paul A. Samuelson Award, presented by TIAA-CREF 1997 (United States)
Returns: Returnable
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