Info

Last observation: Monthly: 2026-06 (N = 46)

First observation: Monthly: 2001-01 (N = 22)

Last data update: 15 aoû 2026, 05:35. Last compile: 15 aoû 2026, 07:04

Structure

Info

source	dataset	Title	Updated
ecb	TGB	Target Balances	2026-08-14
ecb	ILM_PUB	Internal Liquidity Management - Published series	2026-08-14

Data on monetary policy

source	dataset	Title	Updated
ecb	ILM_PUB	Internal Liquidity Management - Published series	2026-08-14
bdf	FM	Marché financier, taux	2026-08-10
bdf	MIR	Taux d'intérêt - Zone euro	2026-08-10
bdf	MIR1	Taux d'intérêt - France	2026-08-10
bis	CBPOL	Policy Rates, Daily	2026-07-25
ecb	BSI	Balance Sheet Items	2026-08-13
ecb	BSI_PUB	Balance Sheet Items - Published series	2026-08-13
ecb	FM	Financial market data	2026-08-13
ecb	ILM	Internal Liquidity Management	2026-08-14
ecb	MIR	MFI Interest Rate Statistics	2026-08-14
ecb	RAI	Risk Assessment Indicators	2026-08-14
ecb	SUP	Supervisory Banking Statistics	2026-08-14
ecb	YC	Financial market data - yield curve	2026-08-14
ecb	YC_PUB	Financial market data - yield curve - Published series	2026-08-14
ecb	liq_daily	Daily Liquidity	2026-08-14
eurostat	ei_mfir_m	Interest rates - monthly data	2026-08-14
eurostat	irt_st_m	Money market interest rates - monthly data	2026-08-13
fred	r	Interest Rates	2026-08-13
oecd	MEI	Main Economic Indicators	2026-08-02
oecd	MEI_FIN	Monthly Monetary and Financial Statistics (MEI)	2026-08-02

LAST_COMPILE

LAST_COMPILE
2026-08-15

Last

TIME_PERIOD	FREQ	Nobs
2026-06	M	46

FREQ

Code

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

FREQ	Nobs
M	11540

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	6738
E	4802

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))) |>
  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") |>
  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") |>
  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") |>
  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("")