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Statistical Models and Methods for Financial Markets (Hardcover, 2008 ed.)
Loot Price: R3,204
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Statistical Models and Methods for Financial Markets (Hardcover, 2008 ed.)
Series: Springer Texts in Statistics
Expected to ship within 12 - 17 working days
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The idea of writing this bookarosein 2000when the ?rst author
wasassigned to teach the required course STATS 240 (Statistical
Methods in Finance) in the new M. S. program in ?nancial
mathematics at Stanford, which is an interdisciplinary program that
aims to provide a master's-level education in applied mathematics,
statistics, computing, ?nance, and economics. Students in the
programhad di?erent backgroundsin statistics. Some had only taken a
basic course in statistical inference, while others had taken a
broad spectrum of M. S. - and Ph. D. -level statistics courses. On
the other hand, all of them had already taken required core courses
in investment theory and derivative pricing, and STATS 240 was
supposed to link the theory and pricing formulas to real-world data
and pricing or investment strategies. Besides students in
theprogram, thecoursealso attractedmanystudentsfromother
departments in the university, further increasing the heterogeneity
of students, as many of them had a strong background in
mathematical and statistical modeling from the mathematical,
physical, and engineering sciences but no previous experience in
?nance. To address the diversity in background but common strong
interest in the subject and in a potential career as a "quant" in
the ?nancialindustry,
thecoursematerialwascarefullychosennotonlytopresent basic
statistical methods of importance to quantitative ?nance but also
to summarize domain knowledge in ?nance and show how it can be
combined with statistical modeling in ?nancial analysis and
decision making. The course material evolved over the years,
especially after the second author helped as the head TA during the
years 2004 and 2005.
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