Target Balances

Data - ECB

Info

source dataset .html .qmd .RData
ecb ILM_PUB [2024-10-08] https://fgee olf.com/data
ecb TGB [2024-09-19] https://fgee olf.com/data

Data on monetary policy

source dataset Title Download Compile
ecb ILM_PUB Internal Liquidity Management - Published series 2024-09-10 [2024-10-08]
bdf FM Marché financier, taux 2024-06-18 [2024-07-26]
bdf MIR Taux d'intérêt - Zone euro 2024-07-01 [2024-07-26]
bdf MIR1 Taux d'intérêt - France 2024-07-01 [2024-07-26]
bis CBPOL Policy Rates, Daily 2024-09-15 [2024-08-09]
ecb BSI Balance Sheet Items 2024-09-16 [2024-10-08]
ecb BSI_PUB Balance Sheet Items - Published series 2024-10-08 [2024-10-08]
ecb FM Financial market data 2024-10-08 [2024-10-08]
ecb ILM Internal Liquidity Management 2024-10-08 [2024-10-08]
ecb MIR MFI Interest Rate Statistics 2024-10-08 [2024-06-19]
ecb RAI Risk Assessment Indicators 2024-10-08 [2024-10-08]
ecb SUP Supervisory Banking Statistics 2024-10-08 [2024-10-08]
ecb YC Financial market data - yield curve 2024-09-16 [2024-09-19]
ecb YC_PUB Financial market data - yield curve - Published series 2024-10-08 [2024-09-19]
ecb liq_daily Daily Liquidity 2024-09-11 [2024-10-08]
eurostat ei_mfir_m Interest rates - monthly data 2024-09-15 [2024-09-30]
eurostat irt_st_m Money market interest rates - monthly data 2024-10-08 [2024-09-30]
fred r Interest Rates 2024-09-18 [2024-09-18]
oecd MEI Main Economic Indicators 2024-06-30 [2024-04-16]
oecd MEI_FIN Monthly Monetary and Financial Statistics (MEI) 2024-05-21 [2024-09-15]

LAST_COMPILE

LAST_COMPILE
2024-10-09

Last

TIME_PERIOD FREQ Nobs
2024-08 M 44

FREQ

Code
TGB %>%
  group_by(FREQ) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
FREQ Nobs
M 10560

REF_AREA

Code
TGB %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Loc = gsub(" ", "-", str_to_lower(Ref_area)),
         Loc = paste0('<img src="../../icon/flag/vsmall/', Loc, '.png" alt="Flag">')) %>%
  select(Loc, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

TIME_PER_COLLECT

Code
TGB %>%
  group_by(TIME_PER_COLLECT) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
TIME_PER_COLLECT Nobs
A 6248
E 4312

TIME_PERIOD

Code
TGB %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional()

Target Balances

Values

Code
TGB %>%
  filter(REF_AREA %in% c("FR", "DE", "IT", "GR"),
         TIME_PER_COLLECT == "A") %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  month_to_date() %>%
  filter(!is.na(OBS_VALUE)) %>%
  mutate(OBS_VALUE = OBS_VALUE/1000) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  mutate(color = ifelse(REF_AREA == "U2", color2, color)) %>%
  ggplot() + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE, color = color)) + 
  add_flags(4) + scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-3000, 3000, 100),
                     labels = dollar_format(accuracy = 1, prefix = "", suffix = " Bn€")) +
  ylab("Target Balances") + xlab("")

Table

Code
TGB %>%
  filter(TIME_PER_COLLECT == "A",
         TIME_PERIOD %in% c("2019-02", "2020-06", "2020-10")) %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  mutate(Ref_area = ifelse(REF_AREA == "4F", "Europe", Ref_area),
         OBS_VALUE = round(OBS_VALUE)) %>%
  select(REF_AREA, Ref_area, TIME_PERIOD, OBS_VALUE) %>%
  spread(TIME_PERIOD, OBS_VALUE) %>%
  mutate(Change = `2020-10`-`2019-02`) %>%
  mutate(Loc = gsub(" ", "-", str_to_lower(Ref_area)),
         Loc = paste0('<img src="../../icon/flag/vsmall/', Loc, '.png" alt="Flag">')) %>%
  select(Loc, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}