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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
Examining the Evolutionary Principal Components of a Multivariate Time
Series with Application to Stock Sector Data
Ginger Davis
Department of Statistics
Rice University
3:30PM - Tuesday, February 22, 2005
Room 170, Eighteenth Avenue Bldg. (EA 170)
ABSTRACT
Financial data are heavily analyzed due to the potential payoff of
useful models. Many models exist for the joint analysis of several
financial instruments such as securities due to the fact that they are
not independent. These models often assume some type of constant
behavior between the instruments over the time period of analysis.
Instead of imposing that assumption for our system of securities, we
are interested in modeling the dynamics of the overall
system. Specifically, we model individual stock data that belong to
one of three market sectors and examine the behavior of the market as
a whole and the behavior of the sectors. Our aim is detecting and
forecasting unusual changes in the system, such as market crashes and
changes within or between the sectors.
Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.
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