Add poster files

This commit adds the poster that I'm presenting at the 2013 NBER-NSF time
series conference (Sept 26)
Rename file with main paper
Remove bootstrap material from paper

This commit is the first real step towards submitting this paper as a note to
Econometrica. It removes the bootstrap material to focus on just the mixed-window
ideas.
Merge branch 'master' into ema

This commit changes the way footnotes are represented in the
latex souce code to play better with emacs and git.
Move some theoretical results in the appendix
Move assumptions from theorem to stand alone
Change font to Charter
Merge branch 'master' into ema

Conflicts:
	Makefile
Minor changes to appearence

- increase the font size to 12pt
- switch to single spacing
- move monte carlo and empirical tables into the body of the text
Use guillemets to differentiate URLs from rest of text
Replace small caps with capitalized letters

This commit finishes converting small caps to uppercase letters; the
free version of Charter uses faked small caps that are ugly.
Remove hyphen in pseudo-true
Small changes to wording in introduction
Add NBER-NSF conference to acknowledgements
Define MDS acronym in introduction
Start to rewrite theory section

This commit splits up the assumptions and theorems into separate subsections.
It also makes small tweaks to the wording in the intro to their section and
removes an unnecessarily negative remark about the GW and CW approaches
for fixed window strategies
Remove theoretical results on multiple testing

I'm going to present radically simplified multiple testing results
for this paper (no stepdown; just present asymptotic normality in a
way that allows for multiple alternatives, then invoke CMT and explain
why Hansen's criticisms don't matter); this commit removes that
part of the theory.
Remove references to presentation-only R packages

i.e. booktabs and xtable. The rationale is that there is a ton of
software that goes into formatting the paper, so singling out the
R packages doesn't make much sense.
Set Pi = 1 in theory and simulations

Setting Pi = 1 should give essentially the same performance, but makes
the expression for the OOS statistic marginally simpler.
Update multiple testing in empirical section

This commit changes the empirical section to use a much simpler
method of correcting for multiple comparisons. Instead of the
bootstrap we used before, we just simulate from the asymptotic
distribution and take the 1-alpha quantile of the largest
t-statistic. This correction makes the math and the presentation
a lot simpler, and complies with the editor's suggestion to
remove the bootstrap from the paper :).