Mnemonic | IRGTLT.ITWN | |
---|---|---|
Unit | % p.a., NSA | |
Adjustments | Not Seasonally Adjusted | |
Monthly | ||
Data | Jan 2023 | 1.24 |
Dec 2022 | 1.28 |
Source | Central Bank of the Republic of China |
Release | International Finance Statistics |
Frequency | Monthly |
Start Date | 1/31/1997 |
End Date | 1/31/2023 |
Reference | Last | Previous | Units | Frequency | |
---|---|---|---|---|---|
Stock Market Index | 23 Mar 2023 | 15,863 | 15,760 | Index, NSA | Daily |
Average Long-term Government Bond | Jan 2023 | 1.24 | 1.28 | % p.a., NSA | Monthly |
Lending Rate | Jan 2023 | 2.89 | 2.84 | % p.a., NSA | Monthly |
Money Market Rate | Jan 2023 | 1.33 | 1.32 | %, NSA | Monthly |
Treasury Bills (over 31 days) | Jan 2023 | 0 | 0 | %, NSA | Monthly |
For Taiwan, the Central Bank of China reports detailed monthly, quarterly, and annual data on exchange rates, international liquidity, interest rates, international transactions, prices, and central government and central bank assets and liabilities for Taiwan.
Active:
Predecessors:
The current methodology conforms to the United Nations “System of National Accounts,” and classifies the transactions of financial institutions into six sectors according to whether the counter party is a foreign entity, the government, a government enterprise, a private enterprise, an individual (household) or a domestic financial institution.
The financial statistics are compiled by using the financial data submitted to the Central Bank by the various financial institutions. After reviewed by Economic Research Department personnel of the Central Bank, they are then tabulated according to grouping. The resulting tables provide a solid basis for further statistical analysis on monetary aggregates.
If there are any revisions in data they will be updated when the next periods data is released.