Abstract
The abundance of high-frequency financial data
and the rapid development of computer hardware have combined
to transform financial economics into, arguably, the most
empirically oriented field within the social sciences.
At the same time, as a result of the difficulty of conducting
genuine market experiments, empirical finance remains firmly
grounded in the tradition of model-driven statistical inference
that is characteristic of economics. Even so, the richness
of data has often spurred a practical orientation that
is more familiar in the natural sciences. The combination
has proved fertile, leading to the classification of a
set of loosely connected empirical topics as a distinct
entity, financial econometrics.
Publisher
Cambridge University Press (CUP)
Subject
Economics and Econometrics,Social Sciences (miscellaneous)
Cited by
2 articles.
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