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Price
The current value of the Loans To Banks in China is 250.164 T CNY. The Loans To Banks in China increased to 250.164 T CNY on 8/1/2024, after it was 249.255 T CNY on 7/1/2024. From 1/1/2010 to 9/1/2024, the average GDP in China was 125.34 T CNY. The all-time high was reached on 9/1/2024 with 251.87 T CNY, while the lowest value was recorded on 1/1/2010 with 41.34 T CNY.
Loans To Banks ·
3 years
5 years
10 years
25 Years
Max
Loans to banks | |
---|---|
1/1/2010 | 41.34 T CNY |
2/1/2010 | 42.05 T CNY |
3/1/2010 | 42.56 T CNY |
4/1/2010 | 43.34 T CNY |
5/1/2010 | 43.99 T CNY |
6/1/2010 | 44.59 T CNY |
7/1/2010 | 45.13 T CNY |
8/1/2010 | 45.67 T CNY |
9/1/2010 | 46.26 T CNY |
10/1/2010 | 46.85 T CNY |
11/1/2010 | 47.42 T CNY |
12/1/2010 | 47.9 T CNY |
1/1/2011 | 48.21 T CNY |
2/1/2011 | 48.75 T CNY |
3/1/2011 | 49.33 T CNY |
4/1/2011 | 50.07 T CNY |
5/1/2011 | 50.62 T CNY |
6/1/2011 | 51.25 T CNY |
7/1/2011 | 51.74 T CNY |
8/1/2011 | 52.29 T CNY |
9/1/2011 | 52.76 T CNY |
10/1/2011 | 53.35 T CNY |
11/1/2011 | 53.91 T CNY |
12/1/2011 | 54.64 T CNY |
1/1/2012 | 55.37 T CNY |
2/1/2012 | 56.08 T CNY |
3/1/2012 | 57.08 T CNY |
4/1/2012 | 57.76 T CNY |
5/1/2012 | 58.55 T CNY |
6/1/2012 | 59.47 T CNY |
7/1/2012 | 60.01 T CNY |
8/1/2012 | 60.71 T CNY |
9/1/2012 | 61.33 T CNY |
10/1/2012 | 61.84 T CNY |
11/1/2012 | 62.36 T CNY |
12/1/2012 | 62.81 T CNY |
1/1/2013 | 63.89 T CNY |
2/1/2013 | 64.51 T CNY |
3/1/2013 | 65.58 T CNY |
4/1/2013 | 66.37 T CNY |
5/1/2013 | 67.04 T CNY |
6/1/2013 | 67.9 T CNY |
7/1/2013 | 68.6 T CNY |
8/1/2013 | 69.31 T CNY |
9/1/2013 | 70.1 T CNY |
10/1/2013 | 70.6 T CNY |
11/1/2013 | 71.23 T CNY |
12/1/2013 | 71.71 T CNY |
1/1/2014 | 73.03 T CNY |
2/1/2014 | 73.67 T CNY |
3/1/2014 | 74.72 T CNY |
4/1/2014 | 75.5 T CNY |
5/1/2014 | 76.37 T CNY |
6/1/2014 | 77.44 T CNY |
7/1/2014 | 77.83 T CNY |
8/1/2014 | 78.53 T CNY |
9/1/2014 | 79.38 T CNY |
10/1/2014 | 79.93 T CNY |
11/1/2014 | 80.78 T CNY |
12/1/2014 | 81.48 T CNY |
1/1/2015 | 83.47 T CNY |
2/1/2015 | 84.5 T CNY |
3/1/2015 | 85.68 T CNY |
4/1/2015 | 86.39 T CNY |
5/1/2015 | 87.27 T CNY |
6/1/2015 | 88.54 T CNY |
7/1/2015 | 90.02 T CNY |
8/1/2015 | 90.74 T CNY |
9/1/2015 | 91.79 T CNY |
10/1/2015 | 92.31 T CNY |
11/1/2015 | 93.03 T CNY |
12/1/2015 | 93.64 T CNY |
1/1/2016 | 96.14 T CNY |
2/1/2016 | 96.87 T CNY |
3/1/2016 | 98.24 T CNY |
4/1/2016 | 98.79 T CNY |
5/1/2016 | 99.76 T CNY |
6/1/2016 | 101.14 T CNY |
7/1/2016 | 101.6 T CNY |
8/1/2016 | 102.54 T CNY |
9/1/2016 | 103.74 T CNY |
10/1/2016 | 104.37 T CNY |
11/1/2016 | 105.12 T CNY |
12/1/2016 | 106.17 T CNY |
1/1/2017 | 108.2 T CNY |
2/1/2017 | 109.36 T CNY |
3/1/2017 | 110.39 T CNY |
4/1/2017 | 111.48 T CNY |
5/1/2017 | 112.6 T CNY |
6/1/2017 | 114.13 T CNY |
7/1/2017 | 114.96 T CNY |
8/1/2017 | 116.05 T CNY |
9/1/2017 | 117.33 T CNY |
10/1/2017 | 117.99 T CNY |
11/1/2017 | 119.12 T CNY |
12/1/2017 | 119.69 T CNY |
1/1/2018 | 122.55 T CNY |
2/1/2018 | 123.39 T CNY |
3/1/2018 | 124.51 T CNY |
4/1/2018 | 125.68 T CNY |
5/1/2018 | 126.83 T CNY |
6/1/2018 | 128.68 T CNY |
7/1/2018 | 130.12 T CNY |
8/1/2018 | 131.39 T CNY |
9/1/2018 | 132.76 T CNY |
10/1/2018 | 133.45 T CNY |
11/1/2018 | 134.71 T CNY |
12/1/2018 | 135.79 T CNY |
1/1/2019 | 139.02 T CNY |
2/1/2019 | 139.91 T CNY |
3/1/2019 | 141.59 T CNY |
4/1/2019 | 142.61 T CNY |
5/1/2019 | 143.8 T CNY |
6/1/2019 | 145.45 T CNY |
7/1/2019 | 146.5 T CNY |
8/1/2019 | 147.71 T CNY |
9/1/2019 | 149.4 T CNY |
10/1/2019 | 150.06 T CNY |
11/1/2019 | 151.45 T CNY |
12/1/2019 | 152.58 T CNY |
1/1/2020 | 155.91 T CNY |
2/1/2020 | 156.81 T CNY |
3/1/2020 | 159.65 T CNY |
4/1/2020 | 161.31 T CNY |
5/1/2020 | 162.8 T CNY |
6/1/2020 | 164.62 T CNY |
7/1/2020 | 165.62 T CNY |
8/1/2020 | 166.89 T CNY |
9/1/2020 | 168.79 T CNY |
10/1/2020 | 169.49 T CNY |
11/1/2020 | 170.92 T CNY |
12/1/2020 | 172.14 T CNY |
1/1/2021 | 175.75 T CNY |
2/1/2021 | 177.11 T CNY |
3/1/2021 | 179.84 T CNY |
4/1/2021 | 181.28 T CNY |
5/1/2021 | 182.77 T CNY |
6/1/2021 | 184.89 T CNY |
7/1/2021 | 185.91 T CNY |
8/1/2021 | 187.11 T CNY |
9/1/2021 | 188.8 T CNY |
10/1/2021 | 189.63 T CNY |
11/1/2021 | 190.89 T CNY |
12/1/2021 | 191.99 T CNY |
1/1/2022 | 196.02 T CNY |
2/1/2022 | 197.1 T CNY |
3/1/2022 | 200.29 T CNY |
4/1/2022 | 200.79 T CNY |
5/1/2022 | 202.66 T CNY |
6/1/2022 | 205.55 T CNY |
7/1/2022 | 206.11 T CNY |
8/1/2022 | 207.4 T CNY |
9/1/2022 | 209.87 T CNY |
10/1/2022 | 210.43 T CNY |
11/1/2022 | 211.57 T CNY |
12/1/2022 | 213.01 T CNY |
1/1/2023 | 218.74 T CNY |
2/1/2023 | 220.57 T CNY |
3/1/2023 | 224.49 T CNY |
4/1/2023 | 225.14 T CNY |
5/1/2023 | 226.43 T CNY |
6/1/2023 | 229.47 T CNY |
7/1/2023 | 229.73 T CNY |
8/1/2023 | 231.03 T CNY |
9/1/2023 | 233.39 T CNY |
10/1/2023 | 234.08 T CNY |
11/1/2023 | 235.17 T CNY |
12/1/2023 | 236.29 T CNY |
1/1/2024 | 241.15 T CNY |
2/1/2024 | 242.53 T CNY |
3/1/2024 | 245.63 T CNY |
4/1/2024 | 246.22 T CNY |
5/1/2024 | 247.08 T CNY |
6/1/2024 | 249.13 T CNY |
7/1/2024 | 249.26 T CNY |
8/1/2024 | 250.16 T CNY |
Loans To Banks History
Date | Value |
---|---|
8/1/2024 | 250.164 T CNY |
7/1/2024 | 249.255 T CNY |
6/1/2024 | 249.13 T CNY |
5/1/2024 | 247.078 T CNY |
4/1/2024 | 246.221 T CNY |
3/1/2024 | 245.626 T CNY |
2/1/2024 | 242.531 T CNY |
1/1/2024 | 241.151 T CNY |
12/1/2023 | 236.29 T CNY |
11/1/2023 | 235.17 T CNY |
Similar Macro Indicators to Loans To Banks
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 | 500 B CNY | 1.59 T CNY | Monthly |
🇨🇳 Cash Reserve Ratio | 9.5 % | 9.5 % | Monthly |
🇨🇳 Central Bank Balance Sheet | 44.736 T CNY | 45.505 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 | 1.86 % | 1.857 % | frequency_daily |
🇨🇳 Interest Rate | 3.45 % | 3.45 % | frequency_daily |
🇨🇳 Investments in Fixed Assets | 4 % | 4.2 % | Monthly |
🇨🇳 Liquidity injections via MLF | 125 B CNY | 100 B CNY | 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 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 | 633.357 T CNY | 62.824 T CNY | Monthly |
🇨🇳 Money Supply M2 | 305.016 T CNY | 301.851 T CNY | Monthly |
🇨🇳 Reverse Repo Rate | 1.8 % | 1.8 % | Monthly |
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 Loans To Banks?
At Eulerpool, we endeavor to provide precise and insightful macroeconomic data to assist in making informed financial decisions. One pivotal aspect of macroeconomics that warrants detailed exploration is 'Loans to Banks.' This category plays a significant role in understanding the functions of financial systems, monetary policy, and broader economic stability. Loans to banks, often referred to as interbank loans or wholesale funding, are critical financial instruments through which financial institutions manage liquidity and capital resources. These loans are typically short-term and involve borrowing among banks to ensure smooth operations and compliance with regulatory requirements. Commercial banks, central banks, and various financial entities participate in this lending activity, making it an integral part of the banking ecosystem. In the grander scheme of the economy, loans to banks are essential for maintaining the fluidity and health of financial systems. When banks need to meet sudden withdrawal demands, cover reserve requirements, or adjust to unexpected financial contingencies, interbank lending serves as a lifeline. Without access to such liquidity, financial institutions might face solvency issues, potentially leading to broader economic repercussions. Central banks play a fundamental role in the loans to banks category. Central institutions such as the Federal Reserve, European Central Bank, and Bank of England, among others, establish policies and mechanisms to facilitate interbank lending. These include the discount window, where commercial banks can borrow directly from central banks, and other open market operations that influence the availability and cost of money. By setting interest rates and providing conditions for these loans, central banks aim to control inflation, stabilize currency, and promote sustainable economic growth. The interbank lending rate, often called the overnight rate or LIBOR (London Interbank Offered Rate) for certain international contexts, serves as a benchmark for other interest rates throughout the economy. Changes in these rates can ripple through financial markets, affecting everything from mortgage rates to corporate borrowing costs. Hence, the dynamics of loans to banks have significant implications for monetary policy and the broader economic environment. Risk management is another vital facet of loans to banks. Banks engaging in interbank lending must assess counterparty risk - the risk that the borrowing institution might default. Credit risk assessment models, collateral requirements, and interbank agreements are tools that banks use to mitigate potential losses. The robustness of these risk management practices can influence the stability not only of individual banks but also the financial system at large. During periods of financial distress, the importance of loans to banks becomes even more pronounced. For instance, during the 2008 financial crisis, interbank lending markets froze, leading to severe liquidity shortages across the banking sector. Governments and central banks had to step in with unprecedented measures to restore confidence and liquidity, highlighting the systemic importance of smooth functioning interbank lending. Moreover, the regulatory framework governing loans to banks is intricate and continuously evolving. Institutions like the Basel Committee on Banking Supervision lay down international banking regulations, including standards for interbank lending. Regulations such as Basel III emphasize capital adequacy, liquidity management, and stress testing to ensure that banks remain resilient under adverse conditions. Compliance with such regulations is critical for banks to avoid penalties and maintain operational integrity. Digital transformation and financial technology (FinTech) advancements are also influencing the landscape of loans to banks. Automated platforms for interbank lending, blockchain-based solutions, and real-time settlement systems are modernizing the way banks engage in lending activities. These technological innovations hold the potential to enhance transparency, reduce operational costs, and improve the speed and efficiency of lending processes. Understanding the macroeconomic indicators related to loans to banks can offer invaluable insights for analysts, investors, policymakers, and financial professionals. For those monitoring economic health, indicators such as the total volume of interbank loans, average interest rates on these loans, and their maturity structures can reveal much about prevailing economic conditions. Higher volumes of interbank lending might indicate robust banking activity, whereas higher borrowing rates might signify tighter liquidity conditions or elevated risk perceptions. For investors, trends in interbank lending can affect portfolio decisions. Bonds, equities, and other asset classes are sensitive to interest rate changes that might arise from developments in the interbank lending market. As such, a keen understanding of this market segment can aid in predicting market movements and aligning investment strategies accordingly. On Eulerpool's platform, we offer extensive data and analytic tools to facilitate the monitoring and analysis of macroeconomic categories, including loans to banks. Our comprehensive datasets include historical trends, real-time updates, and predictive models that can help users stay ahead of market changes. Additionally, our user-friendly interface and expert analytical insights aim to make complex macroeconomic data accessible and actionable. In conclusion, loans to banks are a critical component of the financial system with far-reaching implications for economic stability, monetary policy, and financial market dynamics. Through precise monitoring and analysis of this sector, stakeholders can gain deeper insights into the health of the economy and make more informed decisions. At Eulerpool, we are dedicated to providing the essential data and analytical tools needed to understand and navigate the intricate landscape of macroeconomics, including the vital area of loans to banks.