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Financial Econometrics - Problems, Models, and Methods (Paperback)
Loot Price: R1,814
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Financial Econometrics - Problems, Models, and Methods (Paperback)
Series: Princeton Series in Finance
Expected to ship within 12 - 17 working days
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Financial econometrics is a great success story in economics.
Econometrics uses data and statistical inference methods, together
with structural and descriptive modeling, to address rigorous
economic problems. Its development within the world of finance is
quite recent and has been paralleled by a fast expansion of
financial markets and an increasing variety and complexity of
financial products. This has fueled the demand for people with
advanced econometrics skills. For professionals and advanced
graduate students pursuing greater expertise in econometric
modeling, this is a superb guide to the field's frontier. With the
goal of providing information that is absolutely
up-to-date—essential in today's rapidly evolving financial
environment—Gourieroux and Jasiak focus on methods related to
foregoing research and those modeling techniques that seem relevant
to future advances. They present a balanced synthesis of financial
theory and statistical methodology. Recognizing that any model is
necessarily a simplified image of reality and that econometric
methods must be adapted and applied on a case-by-case basis, the
authors employ a wide variety of data sampled at frequencies
ranging from intraday to monthly. These data comprise time series
representing both the European and North American markets for
stocks, bonds, and foreign currencies. Practitioners are encouraged
to keep a critical eye and are armed with graphical diagnostics to
eradicate misspecification errors. This authoritative,
state-of-the-art reference text is ideal for upper-level graduate
students, researchers, and professionals seeking to update their
skills and gain greater facility in using econometric models. All
will benefit from the emphasis on practical aspects of financial
modeling and statistical inference. Doctoral candidates will
appreciate the inclusion of detailed mathematical derivations of
the deeper results as well as the more advanced problems concerning
high-frequency data and risk control. By establishing a link
between practical questions and the answers provided by financial
and statistical theory, the book also addresses the needs of
applied researchers employed by financial institutions.
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