Friday, 6 June 2008

The Econometrics of Financial Markets Reviews

The Econometrics of Financial Markets



Author: John Y. Campbell
Edition:
Publisher: Princeton University Press
Binding: Hardcover
ISBN: 0691043019
Price:
You Save: 47%




The Econometrics of Financial Markets



The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets.The Econometrics of Financial Markets review. 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 applicationRead full reviews of The econometrics of financial markets.

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The Econometrics of Financial Markets
The Econometrics of Financial Markets: A. Craig Mackinlay, Andrew W. Lo, John Y. Campbell

The econometrics of financial markets
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

The Econometrics Of Financial Markets Ebook
Buy The Econometrics of Financial Markets by A. Craig MacKinlay,Andrew W. Lo,John Y. Campbell and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

The Econometrics of Financial Markets
The Econometrics of Financial Markets

the econometrics of financial markets, john y. campbell, andrew w. lo, a. craig
payment | shipping rates | returns We accept only PayPal for eBay orders The Econometrics of Financial Markets BookBuyers SKU: mon0000823321 Product Category :Books ISBN :0691043019 Title :The Econometrics of Financial Markets EAN :9780691043012 Authors :John Y. Campbell, Andrew W. Lo, A. Craig MacKinlay, Andrew Y. Lo Binding :Hardcover Publisher :Princeton University Press Publication Date :1996-12-09 Pages :632 Signed :True First Edition :False Dust Jacket :False List Price (MSRP) :105.00 Hei



The Econometrics of Financial Markets Reviews


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



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