spb/firc0001_uqo

1% Generated by code/make_tables.py from data/projects\_by\_sector.csv, companies\_by\_sector.csv. Do not edit by hand.2\begin{table}[H]3\centering\small4\caption{Issuers and resolved projects by sector}\label{tab:sectors}5\begin{threeparttable}6\begin{tabular}{lrrrrr}7\toprule8GICS sector (iShares) & \multicolumn{1}{c}{\makecell{Issuers in\\universe}} & \multicolumn{1}{c}{\makecell{of which\\S\&P~500}} & \multicolumn{1}{c}{\makecell{Issuers with\\projects}} & Projects & \multicolumn{1}{c}{\makecell{Projects\\per issuer}} \\9\midrule10Health Care & 433 & 59 & 429 & 23{,}679 & 55.2 \\11Industrials & 393 & 79 & 386 & 17{,}890 & 46.3 \\12Consumer Discretionary & 276 & 48 & 267 & 15{,}072 & 56.4 \\13Financials & 462 & 76 & 446 & 14{,}223 & 31.9 \\14Information Technology & 333 & 73 & 325 & 11{,}756 & 36.2 \\15Real Estate & 146 & 31 & 145 & 9{,}001 & 62.1 \\16Materials & 126 & 26 & 117 & 7{,}407 & 63.3 \\17Energy & 119 & 21 & 107 & 6{,}710 & 62.7 \\18Consumer Staples & 103 & 36 & 103 & 5{,}921 & 57.5 \\19Utilities & 68 & 31 & 66 & 4{,}920 & 74.5 \\20Communication Services & 105 & 20 & 101 & 4{,}520 & 44.8 \\21\midrule22Total & 2{,}564 & 500 & 2{,}492 & 121{,}099 & 48.6 \\23\bottomrule24\end{tabular}25\begin{tablenotes}\footnotesize26\item Sector labels come from the iShares holdings file (Russell proxy) or, for S\&P~500-only issuers, from the Wikipedia GICS table; ``Issuers in universe'' includes issuers without filings. Projects per issuer is projects divided by issuers with at least one project. The S\&P~500 issuers were extracted in two runs and with two 10-K segmenters (Table~\ref{tab:cohort}), so cross-sector differences in projects per issuer mix disclosure behaviour with run and volume effects.27\end{tablenotes}28\end{threeparttable}29\end{table}30