Ritter | R Documentation |
Download IPO data provided by Jay Ritter and transform them into a data frame.
Ritter(dest.dir,
url = "https://site.warrington.ufl.edu/ritter/files/IPO-age.xlsx")
dest.dir |
character: a path to a directory |
url |
the data URL |
The function downloads IPO data provided by Jay R. Ritter https://site.warrington.ufl.edu/ritter/. Since the data are provided in Excel format, package openxlsx is required.
The downloaded Excel gets a date prefix (today in
format YYYYMMDD
) and is stored in directory
dest.dir
. Before any download is attempted,
the function checks whether a file with today's
prefix exist in dest.dir
; if yes, this file is
used.
a data.frame
:
CUSIP |
CUSIP |
Offer date |
a |
Company name |
character: Company name |
Ticker |
character: Ticker |
Founding |
Founding year |
PERM |
PERM |
VC dummy |
VC Dummy |
Rollup |
Rollup |
Dual |
Dual |
Post-issue shares |
Post-issue shares |
Internet |
Internet |
Enrico Schumann
https://site.warrington.ufl.edu/ritter/ipo-data/
Gilli, M., Maringer, D. and Schumann, E. (2019) Numerical Methods and Optimization in Finance. 2nd edition. Elsevier. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/C2017-0-01621-X")}
Schumann, E. (2023) Financial Optimisation with R (NMOF Manual). https://enricoschumann.net/NMOF.htm#NMOFmanual
French
, Shiller
## Not run:
archive.dir <- "~/Downloads/Ritter"
if (!dir.exists(archive.dir))
dir.create(archive.dir)
Ritter(archive.dir)
## End(Not run)
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