library(Rbbg) library(RPostgreSQL) drv <- dbDriver("PostgreSQL") dbCon <- dbConnect(drv, dbname="serenitasdb", user="serenitas_user", password="Serenitas1", host="debian") bbgConn <- blpConnect(host='192.168.1.108', port='8194') newbasketID <- function(series, offset){ maturities <- c("2017-06-20", "2019-06-20", "2021-06-20", "2024-06-20") tenors <- c("Y3", "Y5", "Y7", "Y10") sqlstr <- "INSERT INTO index_desc VALUES(%s, '%s', %s, '%s', '%s', 100, 0)" indices <- c("HY", "IG") for(i in seq_along(indices)){ for(j in seq_along(tenors)){ stmt <- sprintf(sqlstr, offset + 10*i, indices[i], series, maturities[j], tenors[j]) dbSendQuery(dbCon, stmt) } } } ig.indices <- c("9", "19", "21", "22") igpattern <- "CDX IG CDSI S%s 7Y Corp" hy.indices <- c("10", "15", "17", "19", "21", "22") hypattern <- "CDX HY CDSI S%s 7Y PRC Corp" itraxx.indices <- c("19", "20", "21") itraxxpattern <- "ITXEB5%s Curncy" ##assign all the member to the variables IGx, HYx and EUx for(index in ig.indices){ assign(paste0("IG", index), bds(bbgConn, sprintf(igpattern, index), "INDX_MEMBERS")) } for(index in hy.indices){ assign(paste0("HY", index), bds(bbgConn, sprintf(hypattern, index), "INDX_MEMBERS")) } for(index in itraxx.indices){ assign(paste0("EU", index), bds(bbgConn, sprintf(itraxxpattern, index), "INDX_MEMBERS")) } assign("EU9", bds(bbgConn, "ITRXEB09 Curncy", "INDX_MEMBERS")) all.names <- c() all.indices <- c(paste0("HY", hy.indices), paste0("IG", ig.indices), paste0("EU", itraxx.indices), "IG9", "EU9") for(index in all.indices){ all.names <- rbind(all.names, get(index)) } tickers <- unique(all.names[,5]) tickers <- tickers[-which(tickers=="")] data <- bdp(bbgConn, paste(tickers, "Corp"), c("cds_company_id", "cds_restructuring_type", "cds_corp_tkr")) data <- cbind(tickers, data) unique.tickers <- aggregate(data, by=list(data$cds_company_id), FUN=function(x)x[1])$tickers cdscurves <- bds(bbgConn, paste(unique.tickers, "Curncy"), "CDS_CURVE_INFO") temp1 <- all.names[match(unique.tickers, all.names[,5]),] temp2 <- data[match(unique.tickers, data$tickers),] curves <- aggregate(cdscurves[,2], by=list(cdscurves$ticker), FUN=function(x)x) prep.data <- data.frame(Name=temp1[,1], company_id=temp2[,2], ticker=temp2[,4], currency=temp1[,3], seniority=temp1[,4], doc_clause=temp2[,3]) sqlstr <- "INSERT INTO CDS_Issuers VALUES('%s', %s, '%s', '%s', '%s', '%s', '%s')" with(prep.data, for(i in 1:nrow(prep.data)){ stmt <- sprintf(sqlstr, gsub("'","''", Name[i]), company_id[i], ticker[i], currency[i], seniority[i], doc_clause[i], paste0("{\"", paste(curves[i,2], collapse="\",\""), "\"}")) dbSendQuery(dbCon, stmt) }) ##fill index_list column ticker_company <- dbGetQuery(dbCon, "SELECT company_id, unnest(cds_curve) from CDS_Issuers") for(index in c(paste0("IG", c(9, 19, 21, 22)), paste0("EU", c(9, 19, 21)), paste0("HY", c(10, 15, 17, 19, 21, 22)))){ indexmatch <- ticker_company[match(get(index)[,5], ticker_company[,2]),] sqlstr <- "UPDATE CDS_Issuers SET index_list=index_list||%s where company_id='%s'" basketids <- allBasketID(index) for(j in 1:nrow(indexmatch)){ dbSendQuery(dbCon, sprintf(sqlstr, 182910, indexmatch[j,1])) } } ##to get default data "default_data"