Global liquidity indicators - GLI

Data - BIS

~/data/bis/

load_data("bis/GLI.RData")

iso3c, iso2c, Borrowers’ country

GLI %>%
  arrange(iso3c, date) %>%
  group_by(iso3c, iso2c, `Borrowers' country`) %>%
  summarise(Nobs = n(),
            start = first(date),
            end = last(date)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

FREQ, Frequency

GLI %>%
  group_by(FREQ, Frequency) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

FREQ	Frequency	Nobs
Q	Quarterly	19878

BORROWERS_SECTOR, Borrowers sector

GLI %>%
  group_by(BORROWERS_SECTOR, `Borrowers sector`) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

BORROWERS_SECTOR	Borrowers sector	Nobs
N	Non-banks, total	14106
S	Non-financial private sector	2720
P	Non-financial sectors	1530
G	General government	510
A	All sectors	506
B	Banks, total	506

LENDERS_SECTOR, Lenders sector

GLI %>%
  group_by(LENDERS_SECTOR, `Lenders sector`) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

LENDERS_SECTOR	Lenders sector	Nobs
A	All sectors	13260
B	Banks, total	6618