Target Balances

Data - ECB

Author

François Geerolf

Info

source dataset Title .html .rData
ecb TGB Target Balances 2025-08-29 2025-08-29
ecb ILM_PUB Internal Liquidity Management - Published series 2025-08-29 2024-09-10

Data on monetary policy

source dataset Title .html .rData
ecb ILM_PUB Internal Liquidity Management - Published series 2025-08-29 2024-09-10
bdf FM Marché financier, taux 2025-08-28 2025-08-28
bdf MIR Taux d'intérêt - Zone euro 2025-08-28 2025-08-04
bdf MIR1 Taux d'intérêt - France 2025-08-28 2025-08-04
bis CBPOL Policy Rates, Daily 2025-08-28 2025-08-28
ecb BSI Balance Sheet Items 2025-08-29 2025-08-29
ecb BSI_PUB Balance Sheet Items - Published series 2025-08-29 2025-08-29
ecb FM Financial market data 2025-08-29 2025-08-29
ecb ILM Internal Liquidity Management 2025-08-29 2025-08-29
ecb MIR MFI Interest Rate Statistics 2025-08-29 2025-08-29
ecb RAI Risk Assessment Indicators 2025-08-29 2025-08-29
ecb SUP Supervisory Banking Statistics 2025-08-29 2025-08-29
ecb YC Financial market data - yield curve 2025-08-29 2025-08-29
ecb YC_PUB Financial market data - yield curve - Published series 2025-08-29 2025-08-29
ecb liq_daily Daily Liquidity 2025-08-29 2025-06-06
eurostat ei_mfir_m Interest rates - monthly data 2025-10-01 2025-09-26
eurostat irt_st_m Money market interest rates - monthly data 2025-10-01 2025-09-26
fred r Interest Rates 2025-10-02 2025-10-01
oecd MEI Main Economic Indicators 2024-04-16 2025-07-24
oecd MEI_FIN Monthly Monetary and Financial Statistics (MEI) 2024-09-15 2025-07-24

LAST_COMPILE

LAST_COMPILE
2025-10-09

Last

TIME_PERIOD FREQ Nobs
2025-06 M 44

FREQ

Code 
TGB %>%
  group_by(FREQ) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
FREQ Nobs
M 11000

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 6468
E 4532

TIME_PERIOD

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

Target Balances

Table

Code 
TGB %>%
  filter(TIME_PER_COLLECT == "A",
         TIME_PERIOD %in% c("2019-02", "2020-06", "2020-10", max(TIME_PERIOD))) %>%
  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 .}

France, Germany, Italy, Greece

Tous

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, 2100, 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("")

2010

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(date >= as.Date("2010-01-01")) %>%
  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, 2100, 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("")

France, Germany, Italy, Greece, Spain,

Code 
TGB %>%
  filter(REF_AREA %in% c("FR", "DE", "IT", "GR", "ES"),
         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(5) + scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 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("")