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Subscribe for $2 China Liquidity Injections Via Medium-term Lending Facility (MLF)
Price
The current value of the Liquidity Injections Via Medium-term Lending Facility (MLF) in China is 100 B CNY. The Liquidity Injections Via Medium-term Lending Facility (MLF) in China decreased to 100 B CNY on 4/1/2024, after it was 387 B CNY on 3/1/2024. From 9/1/2014 to 5/1/2024, the average GDP in China was 399.29 B CNY. The all-time high was reached on 11/1/2023 with 1.45 T CNY, while the lowest value was recorded on 5/1/2015 with 0 CNY.
Liquidity Injections Via Medium-term Lending Facility (MLF) ·
3 years
5 years
10 years
25 Years
Max
Liquidity injections via MLF | |
---|---|
9/1/2014 | 500 B CNY |
10/1/2014 | 269.5 B CNY |
11/1/2014 | 25 B CNY |
12/1/2014 | 350 B CNY |
1/1/2015 | 319.5 B CNY |
2/1/2015 | 25 B CNY |
3/1/2015 | 670 B CNY |
4/1/2015 | 384.5 B CNY |
6/1/2015 | 130 B CNY |
7/1/2015 | 250 B CNY |
8/1/2015 | 110 B CNY |
10/1/2015 | 105.5 B CNY |
11/1/2015 | 100.3 B CNY |
12/1/2015 | 100 B CNY |
1/1/2016 | 862.5 B CNY |
2/1/2016 | 163 B CNY |
4/1/2016 | 715 B CNY |
5/1/2016 | 290 B CNY |
6/1/2016 | 208 B CNY |
7/1/2016 | 486 B CNY |
8/1/2016 | 289 B CNY |
9/1/2016 | 275 B CNY |
10/1/2016 | 763 B CNY |
11/1/2016 | 739 B CNY |
12/1/2016 | 733 B CNY |
1/1/2017 | 551 B CNY |
2/1/2017 | 393.5 B CNY |
3/1/2017 | 497 B CNY |
4/1/2017 | 495.5 B CNY |
5/1/2017 | 459 B CNY |
6/1/2017 | 498 B CNY |
7/1/2017 | 360 B CNY |
8/1/2017 | 399.5 B CNY |
9/1/2017 | 298 B CNY |
10/1/2017 | 498 B CNY |
11/1/2017 | 404 B CNY |
12/1/2017 | 476 B CNY |
1/1/2018 | 398 B CNY |
2/1/2018 | 393 B CNY |
3/1/2018 | 432.5 B CNY |
4/1/2018 | 367.5 B CNY |
5/1/2018 | 156 B CNY |
6/1/2018 | 663 B CNY |
7/1/2018 | 690.5 B CNY |
8/1/2018 | 532 B CNY |
9/1/2018 | 441.5 B CNY |
10/1/2018 | 451.5 B CNY |
11/1/2018 | 403.5 B CNY |
12/1/2018 | 473.5 B CNY |
4/1/2019 | 200 B CNY |
5/1/2019 | 200 B CNY |
6/1/2019 | 740 B CNY |
7/1/2019 | 400 B CNY |
8/1/2019 | 550 B CNY |
9/1/2019 | 200 B CNY |
10/1/2019 | 200 B CNY |
11/1/2019 | 600 B CNY |
12/1/2019 | 600 B CNY |
1/1/2020 | 300 B CNY |
2/1/2020 | 200 B CNY |
3/1/2020 | 100 B CNY |
4/1/2020 | 100 B CNY |
5/1/2020 | 100 B CNY |
6/1/2020 | 200 B CNY |
7/1/2020 | 400 B CNY |
8/1/2020 | 700 B CNY |
9/1/2020 | 600 B CNY |
10/1/2020 | 500 B CNY |
11/1/2020 | 1 T CNY |
12/1/2020 | 950 B CNY |
1/1/2021 | 500 B CNY |
2/1/2021 | 200 B CNY |
3/1/2021 | 100 B CNY |
4/1/2021 | 150 B CNY |
5/1/2021 | 100 B CNY |
6/1/2021 | 200 B CNY |
7/1/2021 | 100 B CNY |
8/1/2021 | 600 B CNY |
9/1/2021 | 600 B CNY |
10/1/2021 | 500 B CNY |
11/1/2021 | 1 T CNY |
12/1/2021 | 500 B CNY |
1/1/2022 | 700 B CNY |
2/1/2022 | 300 B CNY |
3/1/2022 | 200 B CNY |
4/1/2022 | 150 B CNY |
5/1/2022 | 100 B CNY |
6/1/2022 | 200 B CNY |
7/1/2022 | 100 B CNY |
8/1/2022 | 400 B CNY |
9/1/2022 | 400 B CNY |
10/1/2022 | 500 B CNY |
11/1/2022 | 850 B CNY |
12/1/2022 | 650 B CNY |
1/1/2023 | 779 B CNY |
2/1/2023 | 499 B CNY |
3/1/2023 | 481 B CNY |
4/1/2023 | 170 B CNY |
5/1/2023 | 125 B CNY |
6/1/2023 | 237 B CNY |
7/1/2023 | 103 B CNY |
8/1/2023 | 401 B CNY |
9/1/2023 | 591 B CNY |
10/1/2023 | 789 B CNY |
11/1/2023 | 1.45 T CNY |
12/1/2023 | 1.45 T CNY |
1/1/2024 | 995 B CNY |
2/1/2024 | 500 B CNY |
3/1/2024 | 387 B CNY |
4/1/2024 | 100 B CNY |
Liquidity Injections Via Medium-term Lending Facility (MLF) History
Date | Value |
---|---|
4/1/2024 | 100 B CNY |
3/1/2024 | 387 B CNY |
2/1/2024 | 500 B CNY |
1/1/2024 | 995 B CNY |
12/1/2023 | 1.45 T CNY |
11/1/2023 | 1.45 T CNY |
10/1/2023 | 789 B CNY |
9/1/2023 | 591 B CNY |
8/1/2023 | 401 B CNY |
7/1/2023 | 103 B CNY |
Similar Macro Indicators to Liquidity Injections Via Medium-term Lending Facility (MLF)
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇳 1-Year MLF Rate | 2.5 % | 2.5 % | Monthly |
🇨🇳 14-Day Reverse Repo Rate | 1.95 % | 1.95 % | Monthly |
🇨🇳 Balance Sheets of Banks | 1.59 T CNY | 900 B CNY | Monthly |
🇨🇳 Cash Reserve Ratio | 9.5 % | 9.5 % | Monthly |
🇨🇳 Central Bank Balance Sheet | 45.505 T CNY | 43.89 T CNY | Monthly |
🇨🇳 Credit Growth | 9.3 % | 9.6 % | Monthly |
🇨🇳 Deposit interest rate | 0.35 % | 0.35 % | Monthly |
🇨🇳 Foreign currency reserves | 3.232 T USD | 3.201 T USD | Monthly |
🇨🇳 Interbank rate | 1.864 % | 1.87 % | frequency_daily |
🇨🇳 Interest Rate | 3.45 % | 3.45 % | frequency_daily |
🇨🇳 Investments in Fixed Assets | 4 % | 4.2 % | Monthly |
🇨🇳 Liquidity Injections via Reverse Repo | 2 B CNY | 2 B CNY | frequency_daily |
🇨🇳 Loan Interest Rate 5 Years | 3.95 % | 3.95 % | Monthly |
🇨🇳 Loans to banks | 251.868 T CNY | 250.164 T CNY | Monthly |
🇨🇳 Loans to the private sector | 2.07 T CNY | -72 B CNY | Monthly |
🇨🇳 Money Supply M0 | 117.063 T CNY | 117.311 T CNY | Monthly |
🇨🇳 Money Supply M1 | 62.824 T CNY | 63.024 T CNY | Monthly |
🇨🇳 Money Supply M2 | 305.016 T CNY | 301.851 T CNY | Monthly |
🇨🇳 Reverse Repo Rate | 1.8 % | 1.8 % | Monthly |
Liquidity injections via the Medium-term Lending Facility (MLF) in China pertain to the monthly amounts that the People's Bank of China provides to major commercial banks to enhance liquidity within the financial system.
Macro pages for other countries in Asia
- 🇮🇳India
- 🇮🇩Indonesia
- 🇯🇵Japan
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇰🇬Kyrgyzstan
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇼Taiwan
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
What is Liquidity Injections Via Medium-term Lending Facility (MLF)?
Liquidity Injections Via MLF: A Comprehensive Overview At Eulerpool, we pride ourselves on providing comprehensive, data-driven insights into macroeconomic trends that shape the global economy. One pivotal area of our focus is the implementation and impact of liquidity injections via the Medium-term Lending Facility (MLF). Understanding the mechanisms and implications of the MLF is essential for economic professionals, policymakers, and financial analysts who depend on accurate macroeconomic data to inform their decisions. Liquidity injections via MLF represent a crucial tool employed by central banks, notably the People’s Bank of China (PBOC), to manage economic stability and growth. The MLF, introduced in 2014, allows the provision of one-year loans to financial institutions at predetermined interest rates. This medium-term lending process provides liquidity to the banking system, ensuring that financial institutions can meet their lending requirements to support broader economic activity. Central banks use the MLF as a monetary policy instrument to influence lending rates, credit availability, and ultimately, economic growth. By injecting liquidity into the banking system, central banks can reduce the cost of borrowing, incentivize lending, and mitigate liquidity constraints that could otherwise stymie economic expansion. Essentially, these injections act as a catalyst for financial institutions to extend more credit to businesses and consumers, thereby stimulating consumption and investment. In the context of an economic slowdown or financial instability, liquidity injections via MLF serve as a countercyclical measure to stabilize the economy. For instance, during periods of economic downturn, central banks can increase the frequency and volume of MLF operations to provide additional support to financial markets. This action helps to alleviate liquidity stresses and prevents the abrupt tightening of credit conditions, which could exacerbate economic challenges. The effectiveness of the MLF hinges on several variables, including the interest rates set for the facility, the collateral requirements, and the overall demand for liquidity within the banking system. Central banks must delicately balance these factors to ensure optimal liquidity conditions without fostering excessive risk-taking or asset bubbles. The interest rate for MLF loans typically reflects the central bank’s monetary policy stance, signaling to the market the intended direction of future policy actions. Collateral requirements for MLF loans also play a significant role in determining the accessibility and utilization of the facility. By accepting a broad range of collateral, central banks can enhance liquidity availability, particularly for smaller financial institutions that might otherwise face challenges in meeting stringent collateral requirements. However, in doing so, central banks must also carefully assess and monitor the quality of the collateral to mitigate potential risks to financial stability. Examining the broader economic impact of MLF requires an understanding of how liquidity injections filter through the financial system to the real economy. When financial institutions receive MLF loans, they are better positioned to extend new loans to businesses and consumers. This increased lending capacity can support investment in infrastructure, technological advancements, and other productive activities that drive economic growth. Additionally, enhanced credit availability can boost consumer confidence and spending, further contributing to economic vitality. Moreover, the signaling effect of MLF operations should not be underestimated. By adjusting the terms and conditions of the facility, central banks can communicate their assessment of economic conditions and policy intentions to the market. This communication can shape expectations, influence market behavior, and ultimately affect economic outcomes. For example, a reduction in MLF rates may signal a more accommodative monetary stance, encouraging more borrowing and investment activities. Conversely, an increase in MLF rates could indicate a tightening bias, prompting financial institutions to adjust their lending strategies accordingly. As with any policy tool, the implementation of MLF injections is not without challenges. One key concern is the potential for moral hazard, where financial institutions may engage in riskier lending practices, assuming that central bank support will always be available. This risk underscores the importance of prudent regulatory oversight and the need for central banks to maintain a fine balance between providing adequate liquidity support and encouraging sound risk management practices within the financial sector. Another challenge lies in the transmission mechanism of MLF injections to the broader economy. While central banks can provide ample liquidity to financial institutions, ensuring that these funds translate into productive economic activities requires effective channeling of credit. Structural issues within the financial system, such as capital adequacy constraints or lending biases, can impede the flow of credit to sectors that most need it. Addressing these structural challenges is essential for maximizing the efficacy of MLF operations. In the global context, the significance of liquidity injections via MLF extends beyond national borders. Given the interconnected nature of modern financial systems, MLF operations by major central banks, such as the PBOC, can have ripple effects on global liquidity conditions and financial markets. For investors and policymakers worldwide, understanding the dynamics of MLF injections is crucial for assessing international macroeconomic trends and potential spillover effects. The role of liquidity injections via MLF in shaping macroeconomic outcomes highlights the intricate interplay between monetary policy, financial stability, and economic growth. At Eulerpool, we remain committed to providing high-quality, data-driven analysis to help our users navigate these complexities. By staying informed about the latest developments in MLF operations and their broader economic implications, our users can make more informed decisions and contribute to a deeper understanding of global economic dynamics. In conclusion, liquidity injections via MLF are a critical component of modern monetary policy, offering central banks a powerful tool to manage economic stability and foster growth. Through careful calibration of interest rates, collateral requirements, and other operational parameters, central banks can influence credit conditions, support financial institutions, and stimulate economic activity. While challenges exist in the implementation and transmission of MLF injections, their importance in achieving and maintaining macroeconomic stability cannot be overstated. As a trusted source of macroeconomic data and insights, Eulerpool is dedicated to helping professionals leverage this understanding to navigate the ever-evolving economic landscape.