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Fat-Tailed
and Skewed Asset Return Distributions |
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S. Rachev, C. Menn and F. Fabozzi |
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2005 |
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It has long been
recognized that time series of asset returns exhibit positive sample excess
kurtosis—they have "fat tails." This means that extreme market moves occur more
frequently than would be expected with a normal distribution. In 1963, Benoit
Mandelbrot proposed that returns should instead be modeled with stable Paretian
distributions ...
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Asset Price Dynamics, Volatility, and Prediction |
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This is a great
book for someone—academic or practitioner—who is new to financial time series
analysis and needs an accessible introduction. The book is actually a broad
ranging survey of topics in financial econometrics. It is much like an updated
version of Campbell, Lo and MacKinlay (1997)
with excellent information on ARCH and stochastic volatility models ...
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Empirical Techniques in Finance |
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Ramaprasad Bhar and Shigeyuki Hamori |
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2005 |
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This is an
excellent book with some serious flaws. I highly recommend it for certain
readers. Read on to see if you are one of them.
The book is a hands-on
introduction to financial time series analysis—also called financial
econometrics. This is a technical subject, and there are no really good
introductions. There are excellent texts for economists on time series analysis,
but they cover econometrics without the "financial" ...
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Stochastic Volatility
Selected Readings |
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This edited
collection of seminal research papers on stochastic volatility models is a cute
idea. To place it in context, you need a little background. Back in 1995, ARCH/GARCH
models were sweeping Wall Street. They were a hot topic in econometrics
research, and their discoverer, Robert Engle, edited a
collection of seminal papers on the
topic ... Read more |
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Forecasting Volatility
in the Financial Markets |
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John Knight and Stephen Satchell (Eds.) |
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2002 |
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For researchers or
financial engineers, Knight and Satchell offer an edited collection of
15 articles on financial econometrics ...
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Financial Econometrics
Problems, Models, and Methods |
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Christia Gourieroux and Joann Jasiak |
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2001 |
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Financial econometrics
is the adaptation of statistical and time series methods originally
pioneered for economics (the field of econometrics) to financial
applications. It is largely an academic—as opposed to
practitioner—field, with applications found in studies of market
efficiency, enhanced capital asset pricing models, and studies of market
microstructure ...
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Market Models
A Guide to Financial Data Analysis |
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Alexander's
Market Models is a
practitioner-oriented text on various aspects of, and applications for,
volatility and correlation modeling in financial markets. The book is
divided into three parts ...
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The Econometric Modelling of Financial Time Series |
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Now in its second
edition, this is an excellent intermediate-level text on time series
analysis for financial markets. Targeted to academics or theoretically
inclined practitioners, the book offers a scholarly discussion of topics
relevant to financial markets ...
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The Econometrics of Financial Markets |
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John Campbell, Andrew Lo, Archie MacKinlay |
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1997 |
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Three recognized scholars have written an exceptional book that
uses advanced econometric techniques to explore the behavior of markets.
Starting with the traditional questions of market efficiency and random walks,
the book takes us on a fascinating exploration of market microstructures,
event-study analysis, non-synchronous trading and intertemporal equilibrium
models ...
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ARCH Models and Financial Applications |
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Christian Gourieroux |
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1997 |
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Gourieroux offers a nice balance of time series analysis and financial
theory in this book on ARCH modeling in finance. Readers should be
comfortable with time series analysis at the level of ...
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ARCH: Selected Readings |
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Robert F. Engle (Ed.) |
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1995 |
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Robert Engle published the pioneering paper in ARCH in
Econometrica in 1982. Since then, the field has grown explosively. Numerous
papers have been written. Related models, including GARCH and EGARCH
have been proposed. The methodologies have been implemented extensively
in derivatives trading and risk management ...
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