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Over the past 25 years, applied econometrics has undergone tremen
dous changes, with active developments in fields of research such
as time series, labor econometrics, financial econometrics and
simulation based methods. Time series analysis has been an active
field of research since the seminal work by Box and Jenkins (1976),
who introduced a gen eral framework in which time series can be
analyzed. In the world of financial econometrics and the
application of time series techniques, the ARCH model of Engle
(1982) has shifted the focus from the modelling of the process in
itself to the modelling of the volatility of the process. In less
than 15 years, it has become one of the most successful fields of 1
applied econometric research with hundreds of published papers. As
an alternative to the ARCH modelling of the volatility, Taylor
(1986) intro duced the stochastic volatility model, whose features
are quite similar to the ARCH specification but which involves an
unobserved or latent component for the volatility. While being more
difficult to estimate than usual GARCH models, stochastic
volatility models have found numerous applications in the modelling
of volatility and more particularly in the econometric part of
option pricing formulas. Although modelling volatil ity is one of
the best known examples of applied financial econometrics, other
topics (factor models, present value relationships, term structure
2 models) were also successfully tackled."
Over the past 25 years, applied econometrics has undergone tremen
dous changes, with active developments in fields of research such
as time series, labor econometrics, financial econometrics and
simulation based methods. Time series analysis has been an active
field of research since the seminal work by Box and Jenkins (1976),
who introduced a gen eral framework in which time series can be
analyzed. In the world of financial econometrics and the
application of time series techniques, the ARCH model of Engle
(1982) has shifted the focus from the modelling of the process in
itself to the modelling of the volatility of the process. In less
than 15 years, it has become one of the most successful fields of 1
applied econometric research with hundreds of published papers. As
an alternative to the ARCH modelling of the volatility, Taylor
(1986) intro duced the stochastic volatility model, whose features
are quite similar to the ARCH specification but which involves an
unobserved or latent component for the volatility. While being more
difficult to estimate than usual GARCH models, stochastic
volatility models have found numerous applications in the modelling
of volatility and more particularly in the econometric part of
option pricing formulas. Although modelling volatil ity is one of
the best known examples of applied financial econometrics, other
topics (factor models, present value relationships, term structure
2 models) were also successfully tackled.
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