scripts/exploratory.1.R
In jcizel/SovereignCrisis: What the package does (one line)
crisis1 <- loadCrisisDB()
crisis2 <- alternativeCrisisDB()
alt <- getAltmanZscore()
pd <- getAggregatedBankscopePDs()
macro <- createQueriedMacroDataset(test = FALSE)
rating <- getSPRatings()
cds <- getBloombergSovCDS()
spread <- getSovBondSpreads()
macro %>>% save(file = './inst/extdata/rdata/macro-data.RData')
macro.l <- attributes(macro)$lookup[, list(name = varcode,
label = label)]
oecd.debt <- fread('../SDMXWrappers/inst/extdata/OECD/GOV_DEBT/DATATABLE.csv')
oecd.bank <- fread('../SDMXWrappers/inst/extdata/OECD/BPF1/DATATABLE.csv')
oecd.rev <- fread('../SDMXWrappers/inst/extdata/OECD/REV/DATATABLE.csv')
oecd.revla <- fread('../SDMXWrappers/inst/extdata/OECD/RSLACT/DATATABLE.csv')
oecd.nacc <- fread('../SDMXWrappers/inst/extdata/OECD/NAAG/DATATABLE.csv')
oecd.govt <- fread('../SDMXWrappers/inst/extdata/OECD/SNA_TABLE12/DATATABLE.csv')
oecd.debt.l <- fread('../SDMXWrappers/inst/extdata/OECD/GOV_DEBT/LOOKUPTABLE.csv')
oecd.bank.l <- fread('../SDMXWrappers/inst/extdata/OECD/BPF1/LOOKUPTABLE.csv')
oecd.rev.l <- fread('../SDMXWrappers/inst/extdata/OECD/REV/LOOKUPTABLE.csv')
oecd.revla.l <- fread('../SDMXWrappers/inst/extdata/OECD/RSLACT/LOOKUPTABLE.csv')
oecd.nacc.l <- fread('../SDMXWrappers/inst/extdata/OECD/NAAG/LOOKUPTABLE.csv')
oecd.govt.l <- fread('../SDMXWrappers/inst/extdata/OECD/SNA_TABLE12/LOOKUPTABLE.csv')
lookup.l <-
list(oecd.debt.l,
oecd.bank.l,
oecd.rev.l,
oecd.revla.l,
oecd.nacc.l,
oecd.govt.l) %>>%
list.map(. %>>%
(df ~ df[, list(name = IDnew,
label = LABEL)])) %>>%
rbindlist
lookup <- rbindlist(list(macro.l, lookup.l))
dt <-
list(
rating,
spread,
cds,
crisis1,
crisis2,
alt,
pd,
macro,
oecd.debt,
oecd.bank,
oecd.rev,
oecd.revla,
oecd.nacc,
oecd.govt
) %>>% joinDatasetList()
## Propagate ratings forward
modCols <- c('rating','ratingnum')
dt[
, paste(modCols) := lapply(.SD, na.locf, na.rm = FALSE)
, by = "iso3"
, .SDcols = modCols]
save(list = c('dt','lookup'),
file = './inst/extdata/rdata/comprehensive-macro-dataset.RData')
countries <- WorldBankAPI::getWorldBankCountries() %>>%
(dt ~ dt[, list(iso3 = id,
region = region.id,
income = incomeLevel.id,
income.name = incomeLevel.value)])
dt <-
dt %>>%
merge(countries, by = "iso3")
## -------------------------------------------------------------------------- ##
## CORRELATION TABLES ##
## -------------------------------------------------------------------------- ##
## debug(tabulateCorrelationsByTime)
## LEVELS
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif.tex'
)
## CHANGES - ALL
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-LowIncome.tex'
)
## -------------------------------------------------------------------------- ##
## SPEARMAN CORRELATIONS ##
## -------------------------------------------------------------------------- ##
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = '`*`(1)',
method = 'spearman',
outfile = './inst/RESULTS/tabulateCorrelations-spearman.tex'
)
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'spearman',
outfile = './inst/RESULTS/tabulateCorrelations-spearman-dif.tex'
)
## -------------------------------------------------------------------------- ##
## CORRELATIONS WITH TAXATION VARIABLES ##
## -------------------------------------------------------------------------- ##
dt <-
within(dt,{
D_GDP_USD = NY.GDP.MKTP.CD
D_GDP_LCU = NY.GDP.MKTP.CN
R_REV_GDP = GC.TAX.TOTL.CN / D_GDP_LCU #revenue
R_INT_GDP = GC.XPN.INTP.CN / D_GDP_LCU #interest
R_INT_COV = GC.TAX.TOTL.CN / GC.XPN.INTP.CN #interest coverage
})
## GFDD.DM.07 outstanding debt issues to GDP
## GFDD.DM.04
## GFDD.DM.06
## GFDD.DI.06
## LEVELS
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations_debt.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif.tex'
)
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-LowIncome.tex'
)
## REVENUES
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations_revenue.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif.tex'
)
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-LowIncome.tex'
)
jcizel/SovereignCrisis documentation built on May 18, 2019, 10:24 p.m.
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crisis1 <- loadCrisisDB()
crisis2 <- alternativeCrisisDB()
alt <- getAltmanZscore()
pd <- getAggregatedBankscopePDs()
macro <- createQueriedMacroDataset(test = FALSE)
rating <- getSPRatings()
cds <- getBloombergSovCDS()
spread <- getSovBondSpreads()
macro %>>% save(file = './inst/extdata/rdata/macro-data.RData')
macro.l <- attributes(macro)$lookup[, list(name = varcode,
label = label)]
oecd.debt <- fread('../SDMXWrappers/inst/extdata/OECD/GOV_DEBT/DATATABLE.csv')
oecd.bank <- fread('../SDMXWrappers/inst/extdata/OECD/BPF1/DATATABLE.csv')
oecd.rev <- fread('../SDMXWrappers/inst/extdata/OECD/REV/DATATABLE.csv')
oecd.revla <- fread('../SDMXWrappers/inst/extdata/OECD/RSLACT/DATATABLE.csv')
oecd.nacc <- fread('../SDMXWrappers/inst/extdata/OECD/NAAG/DATATABLE.csv')
oecd.govt <- fread('../SDMXWrappers/inst/extdata/OECD/SNA_TABLE12/DATATABLE.csv')
oecd.debt.l <- fread('../SDMXWrappers/inst/extdata/OECD/GOV_DEBT/LOOKUPTABLE.csv')
oecd.bank.l <- fread('../SDMXWrappers/inst/extdata/OECD/BPF1/LOOKUPTABLE.csv')
oecd.rev.l <- fread('../SDMXWrappers/inst/extdata/OECD/REV/LOOKUPTABLE.csv')
oecd.revla.l <- fread('../SDMXWrappers/inst/extdata/OECD/RSLACT/LOOKUPTABLE.csv')
oecd.nacc.l <- fread('../SDMXWrappers/inst/extdata/OECD/NAAG/LOOKUPTABLE.csv')
oecd.govt.l <- fread('../SDMXWrappers/inst/extdata/OECD/SNA_TABLE12/LOOKUPTABLE.csv')
lookup.l <-
list(oecd.debt.l,
oecd.bank.l,
oecd.rev.l,
oecd.revla.l,
oecd.nacc.l,
oecd.govt.l) %>>%
list.map(. %>>%
(df ~ df[, list(name = IDnew,
label = LABEL)])) %>>%
rbindlist
lookup <- rbindlist(list(macro.l, lookup.l))
dt <-
list(
rating,
spread,
cds,
crisis1,
crisis2,
alt,
pd,
macro,
oecd.debt,
oecd.bank,
oecd.rev,
oecd.revla,
oecd.nacc,
oecd.govt
) %>>% joinDatasetList()
## Propagate ratings forward
modCols <- c('rating','ratingnum')
dt[
, paste(modCols) := lapply(.SD, na.locf, na.rm = FALSE)
, by = "iso3"
, .SDcols = modCols]
save(list = c('dt','lookup'),
file = './inst/extdata/rdata/comprehensive-macro-dataset.RData')
countries <- WorldBankAPI::getWorldBankCountries() %>>%
(dt ~ dt[, list(iso3 = id,
region = region.id,
income = incomeLevel.id,
income.name = incomeLevel.value)])
dt <-
dt %>>%
merge(countries, by = "iso3")
## -------------------------------------------------------------------------- ##
## CORRELATION TABLES ##
## -------------------------------------------------------------------------- ##
## debug(tabulateCorrelationsByTime)
## LEVELS
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif.tex'
)
## CHANGES - ALL
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations-dif-LowIncome.tex'
)
## -------------------------------------------------------------------------- ##
## SPEARMAN CORRELATIONS ##
## -------------------------------------------------------------------------- ##
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = '`*`(1)',
method = 'spearman',
outfile = './inst/RESULTS/tabulateCorrelations-spearman.tex'
)
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
benchVars = c('ratingnum','spread','cds'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'spearman',
outfile = './inst/RESULTS/tabulateCorrelations-spearman-dif.tex'
)
## -------------------------------------------------------------------------- ##
## CORRELATIONS WITH TAXATION VARIABLES ##
## -------------------------------------------------------------------------- ##
dt <-
within(dt,{
D_GDP_USD = NY.GDP.MKTP.CD
D_GDP_LCU = NY.GDP.MKTP.CN
R_REV_GDP = GC.TAX.TOTL.CN / D_GDP_LCU #revenue
R_INT_GDP = GC.XPN.INTP.CN / D_GDP_LCU #interest
R_INT_COV = GC.TAX.TOTL.CN / GC.XPN.INTP.CN #interest coverage
})
## GFDD.DM.07 outstanding debt issues to GDP
## GFDD.DM.04
## GFDD.DM.06
## GFDD.DI.06
## LEVELS
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations_debt.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif.tex'
)
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_debt-dif-LowIncome.tex'
)
## REVENUES
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = '`*`(1)',
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = '`*`(1)',
method = 'pearson',
## outfile = '~/Downloads/test.tex'
outfile = './inst/RESULTS/tabulateCorrelations_revenue.tex'
)
## CHANGES - ALL
tabulateCorrelationsByTime(
data = dt,
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif.tex'
)
## OECD
tabulateCorrelationsByTime(
data = dt[income.name == 'High income: OECD'],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-OECD.tex'
)
## High Income
tabulateCorrelationsByTime(
data = dt[income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-HighIncome.tex'
)
## Low Income
tabulateCorrelationsByTime(
data = dt[!income.name %in% c('High income: OECD','High income: nonOECD')],
xvar = c('zscorepd75','SC_CLOSURE_ALL.Q3.'),
xvarConvert = 'shift(lag = -1, dif = TRUE)',
## benchVars = c('ratingnum','spread','cds'),
## benchVars = c('GFDD.DM.04','GFDD.DM.06','GFDD.DM.07'),
benchVars = c('R_REV_GDP', 'R_INT_GDP', 'R_INT_COV'),
benchConvert = 'shift(lag = -1, dif = TRUE)',
method = 'pearson',
outfile = './inst/RESULTS/tabulateCorrelations_revenue-dif-LowIncome.tex'
)
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