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Retrieve real interest rates of financial intermediaries

get_tasas_reales.Rd

Downloads the real lending and deposit interest rates published by the Banco Central de la República Dominicana (BCRD) for financial intermediary institutions.

Usage

get_tasas_reales(
  frecuencia = c("mensual", "anual"),
  format = c("wide", "long")
)

Source

Banco Central de la República Dominicana (BCRD), "Tasas de Interés Reales de las Entidades de Intermediación Financiera".

Arguments

frecuencia

Frequency of the returned data. One of:

"mensual"

Monthly observations (default).

"anual"

Annual averages or december values, not sure what it is.

format

Output format. One of:

"wide"

One column per institution and interest rate type.

"long"

Tidy format with one observation per institution, interest rate type, and period. Includes both the reported real interest rate and the implied nominal interest rate.

Value

A tibble.

When format = "wide", the returned data contain:

date

Observation date (monthly only).

year

Calendar year.

mes

Month number (monthly only).

bm_activa, bm_pasiva

Real lending and deposit rates for multiple banks.

aap_activa, aap_pasiva

Real lending and deposit rates for savings and loan associations.

bac_activa, bac_pasiva

Real lending and deposit rates for savings and credit banks.

cc_activa, cc_pasiva

Real lending and deposit rates for credit corporations.

inflacion

Expected inflation over the next 12 months used by the BCRD in the calculation of real interest rates.

When format = "long", the data are returned in tidy format with the variables entidad, tipo_tasa, tasa_real, inflacion, and tasa_nominal, where tasa_nominal is computed as:

$$ \mathrm{tasa\_nominal} = \mathrm{tasa\_real} + \mathrm{inflacion} $$

Details

Real interest rates are calculated by the BCRD as the difference between nominal interest rates and expected inflation over the following 12 months. The published series covers the period from 2008 onward. :contentReference[oaicite:0]index=0

The data are downloaded directly from the official BCRD statistical spreadsheets. The function parses the original workbook and returns a tidy dataset suitable for analysis.

Institution abbreviations used in the wide format are:

bm

Multiple banks.

aap

Savings and loan associations.

bac

Savings and credit banks.

cc

Credit corporations.

Examples

# Monthly data in wide format
tasas <- get_tasas_reales()

# Annual data in long format
tasas_long <- get_tasas_reales(
  frecuencia = "anual",
  format = "long"
)