EMU convergence criterion series - daily data

Data - Eurostat

Author

François Geerolf

Info

source dataset .html .RData

eurostat

irt_lt_mcby_d

 2024-06-23 2024-06-08

Data on interest rates

source dataset .html .RData

bdf

FM

 2024-06-30 2024-06-18

bdf

MIR

 2024-06-30 2024-06-30

bdf

MIR1

 2024-06-30 2024-06-30

bis

CBPOL_D

 2024-06-19 2024-05-10

bis

CBPOL_M

 2024-06-19 2024-04-19

ecb

FM

 2024-06-30 2024-06-30

ecb

MIR

 2024-06-19 2024-06-30

eurostat

ei_mfir_m

 2024-07-01 2024-06-30

eurostat

irt_lt_mcby_d

 2024-06-23 2024-06-08

eurostat

irt_st_m

 2024-06-23 2024-06-30

fred

r

 2024-06-30 2024-06-30

oecd

MEI

 2024-04-16 2024-06-30

oecd

MEI_FIN

 2024-07-01 2024-05-21

wdi

FR.INR.RINR

 2024-01-06 2024-04-14

LAST_COMPILE

LAST_COMPILE
2024-07-01

Last

Code 
irt_lt_mcby_d %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2024-06-06 4

geo

Code 
irt_lt_mcby_d %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Germany, Italy, France, Spain

All

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "ES", "IT")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_4flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 2),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1997-

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "ES", "IT")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("1997-01-01")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_4flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2000-

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "ES", "IT")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  filter(date >= as.Date("2000-01-01")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_4flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 2), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Germany, Italy, France, Spain, Greece

All

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 5), "-01-01")),
               labels = date_format("%Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 2),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2021-

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  filter(date >= as.Date("2021-01-01")) %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black") +
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

2022-

Flags

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  filter(date >= as.Date("2022-01-01")) %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black") +
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

No flags

  • Why Greece: EL

  • Greece - Elláda

  • Hellenic Republic - Ellīnikī Dīmokratía

  • Hellas - Ellás

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  day_to_date %>%
  filter(date >= as.Date("2022-01-01")) %>%
  ggplot + geom_line(aes(x = date, y = values/100, color = geo)) + theme_minimal()  + 
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  xlab("") + ylab("10-year yield") +
  theme(legend.position = c(0.8, 0.2),
        legend.title = element_blank()) +
  scale_color_manual(values = c("#000000", "#0D5EAF", "#FFC400", "#ED2939", "#009246")) +
  scale_y_continuous(breaks = 0.01*seq(0, 30, 1),
                labels = percent_format(a = 1)) +
  guides(color=guide_legend(ncol=2)) +
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

Last 3 months

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  filter(date >= Sys.Date() - months(3)) %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = "1 week",
               labels = date_format("%d %b %Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, .5),
                labels = percent_format(a = .1)) + 
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

Last 1 month

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("FR", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  filter(date >= Sys.Date() - months(1)) %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = "1 day",
               labels = date_format("%d %b %Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, .5),
                labels = percent_format(a = .1)) + 
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

2021-

Code 
irt_lt_mcby_d %>%
  filter(geo %in% c("PT", "DE", "IT", "ES", "EL")) %>%
  left_join(geo, by = "geo") %>%
  day_to_date %>%
  filter(date >= as.Date("2021-01-01")) %>%
  mutate(values = values / 100) %>%
  left_join(colors, by = c("Geo" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = values, color = color)) +
  scale_color_identity() + theme_minimal()  + add_5flags +
  scale_x_date(breaks = "1 month",
               labels = date_format("%b %Y")) +
  xlab("") + ylab("10-year yield") +
  scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
                labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black") +
  theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))