Just a few
months of experience in economic consulting have opened my eyes further to the
incredibly interesting research topics to be found in the field of Financial Economics,
and have in fact contributed to adding a PhD in Finance or Financial Economics
to my list of future academic interests (on top of the already-established
interests in Industrial Organization and Arts Economics).
Among the ideas
that interest me are the ways to make event studies to determine market
efficiency a more objective and systematic process, particularly when it comes
to the determination of the expected direction and magnitude of a residual
based on the new and value-relevant information that arises on a particular
time period (to then compare with the observed residual and determine
consistency with efficiency). Ways this could be done would be generating a
regression model that takes different pieces of information on a security (this
would first require a study determining what pieces of information are actually
value-relevant, or important to investors) that may be new on a particular day,
and then output a number that would represent the expected magnitude and, of
course, direction of the residual of the security’s price we would expect after
regressing that price on market and industry indices. In essence, this would be
a “measure of surprise” or “unexpected news” to compare observed residuals to
and determine market efficiency. Indeed, this would hopefully go in the way of
providing a more objective basis to determine a security’s consistency with
market efficiency—as opposed to subjective and inconsistently applied measures
that qualitatively take in information ex-post—particularly when there’s
conflicting information on a given time period.
Along the lines
of market efficiency (or in this case, inefficiency), I would also like to
consider the issue of market overreactions/ knee-jerk reactions to individual
pieces of macroeconomic news. In particular, there is a sense that markets are
overly sensitive on a day-to-day basis to macro-related financial or economic
news that may ultimately have little impact on the fundamentals of underlying
companies and their future cash flows. Too often is volatility heavily impacted
by macro news, causing large swings in one direction on a given day, and
“corrective” movements in opposite directions on days subsequent to the news.
Leaving the
issue of efficiency behind, I would consider ways to improve the accuracy of
firm valuations, through the use of management-related variables that would
weight calculated cash flows (and ultimately, their present values) upward or
downward based on the observed relationships between management quality
variables and subsequent earnings surprises or cash flow surprises. Regarding
equity valuations, I would want to investigate the timing of analyst report
price target and stock rating changes: do they just lag changes in prices and
follow the observed price series ex-post, or do they actually play a leading
role in determining the future behavior of stock prices?
And of course, I could not consider topics in financial economics without thinking as well about the financial economics of art, looking at art as an asset and how prices, investors, and markets in the financial world of art behave.
And of course, I could not consider topics in financial economics without thinking as well about the financial economics of art, looking at art as an asset and how prices, investors, and markets in the financial world of art behave.
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