Monetary Aggregates: M1, M2, M3
Data as of Mar 2024The total value of the money supply, as measured by M1, M2, and M3.
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How is this data produced?
Bank Negara Malaysia (BNM) is the sole issuer of currency in Malaysia and is mandated to ensure monetary stability pursuant to the Central Bank Act (2009). Accordingly, BNM is able to track the money supply at any given point in time. That data is summarised in this dataset at monthly frequency.
The following conceptual definitions of monetary aggregates are used:
- M1 = Currency in Circulation + Demand Deposits
- M2 = M1 + Narrow Quasi-Money (Savings Deposits + Fixed Deposits + NIDs + Repos + Foreign Currency Deposits)
- M3 = M2 + Deposits Placed with Other Banking Institutions, i.e. deposits and interest bearing instruments (including SPI deposits and instruments) placed by the non-bank private sector with investment banks (excluding inter-placements among banking institutions).
What caveats I should bear in mind when using this data?
This dataset begin in January 2013 because the compilation of money supply data utilised a new taxonomy from January 2014, resulting in a break with the historical series.
Publication(s) using this data
Our site features an interactive dashboard on the money supply. This dataset is also published as part of BNM's monthly highlights and statistics.
Metadata
Dataset description
The total value of the money supply, as measured by M1, M2, and M3.
Variable definitions
- Date
- Measure
- Supply
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 since the data is at monthly frequency |
measure (String) | Measure | Type of measure, to be mapped using the Lookup Table where file = 'money_aggregates'. The lookup table will give you the English and Malay definitions. |
value (Float, RM mil) | Supply | Supply as at the end of the period, in RM millions |
Last updated:
30 Apr 2024, 15:00
Next update:
31 May 2024, 15:00
Data source(s)
- BNM
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Code
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/finsector/money_aggregates.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=monetary_aggregates&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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