Annual data on the size of China Shadow Bank credit was taken from two sources. Moodys (China) produces data 2000-2012 and Goldman Sachs 2013-2018. The average growth rate 2000-2015 was applied to generate data prior to 2000. Annual data was interpolated to produce quarterly estimates using the cubic match last function in EViews so that the integrity of the annual stock data is maintained for the 4th quarter.The Chinese financial system has served the Chinese economy well in the early stages of development in channeling domestic savings to domestic investment. But, continued financial repression, along with a growing middle class and ageing population has created pressure on savings to 'search for yield'. At the same time, the dominance of lending to state-owned-enterprises, political constraints, inefficiencies and weak risk management practice by financial institutions (FI) have pushed SMEs to alternative sources of funding. The demand for yield from savers and funds from private investment has been met by the rapid growth in shadow banking. This study encompasses two of the identified themes of the research call. The research theme 'alternative strategies for reform and liberalization' covers the role of the Shadow Bank system in the credit intermediation process. This research is of critical importance because it informs the macroeconomic research necessary for investigating 'the role of the Chinese financial system in sustaining economic growth'. Addressing the first research theme we take a dual track approach to better understand the role of the financial system in sustaining in economic growth. The first track examines the role of bank and non-bank finance in promoting long-term economic growth at the regional level. The second track is aimed at the more short-term issue of identifying the potential frequency of macro-economic crises generated by a banking crisis. The finance-growth nexus is a well-established area of economic development, however the China experience questions the supposition that financial development is a necessary precondition. The empirical findings are mixed. Part of the reason for this could be the failure to distinguish between the quality of financial institutions across regions, and the openness of the local environment in terms of the balance between private and public enterprises. Our research would build on the existing literature in two ways. First, it would utilize imperfect but available data on informal finance to examine direct and spill-over effects on medium term growth from contiguous provinces. Second, primary data on the geographic dimension in shadow bank lending gleaned from Theme 2 research will be used to design a weighting system to adjust financial flows for the quality of the local financial environment. The second prong will develop a small macroeconomic model of a hybrid DSGE type that incorporates a banking sector including shadow banks. Such models have been developed for China in recent times but only a few have attempted to incorporate a banking sector.These models are mostly calibrated versions and make no attempt to test the structure against the data. Recent attempts to test a hybrid New Keynesian-RBC DSGE type model for the Chinese economy using the method of indirect inference have been successful and inclusion of a shadow banks have shown some success. The results of the Theme 2 study will inform the development of a fuller shadow banking sector in the macroeconomic model that will be used to estimate the frequency of economic crises generated by bank crises. Theme 2 research will examine the relationship between the banking system and the shadow banking system as complements or substitutes. It will aim to determine the variable interest rate on the P2P online lending platform on the basis of risk-return, the home bias in online investments, and the signaling and screening in the P2P online lending platform. Finally, it will aim to identify the impact of shadow banking on entrepreneurial activity, the industrial growth rate and regional housing investment and price differentials. These results would inform the theme 1 research on the interconnectedness of shadow banking with the mainstream and the fragility of the financial system to shocks and financial crises. Secondary data was taken from multiple Reports on China Shadow Banking published by Goldman Sachs (china) and Moodys (China). The data 2000-2018 corresponds to the annual data obtained from the reports. The quarterly data was obtained by interpolation. Data prior to 2000 was generated using the assumed average growth rate of shadow bank credit for 2000-2015.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Since the 2011 Financial Sector Assessment Program (FSAP), China’s economic growth has remained strong, although a necessary economic transformation is underway. China now has the world’s largest GDP in PPP terms, and poverty rates have fallen. However, medium-term growth prospects have moderated. The limits to the investment-driven growth strategy, combined with an aging population, waning dividends from past reforms, and a challenging external environment, have necessitated a transformation towards a more market-oriented economy that is more consumption-based, more services-driven, less credit-dependent and, especially, more efficient. This transformation has already started, as the Chinese authorities are increasingly emphasizing the quality of growth and have pushed structural reforms. The economic transformation requires a fundamental change in the role of the financial system. Historically its role was to channel China’s high savings at low cost to strategic sectors. China’s economic rebalancing is multi-dimensional, and there is a need to significantly improve the financial sector’s capital allocation to promote the rebalancing from investment to consumption; from heavy manufacturing to services; and from large to small enterprises. Looking ahead, the financial system will need to become more balanced, sustainable and inclusive, to facilitate China’s economic transformation, where markets play an increasingly dominant role in resource allocation and where consequences of risk-taking are well-understood and accepted. Maintaining financial stability would also require that remaining gaps in regulatory frameworks be addressed. The standard assessments for the banking, insurance, and securities sectors show a high degree of compliance with international standards, but also point to critical gaps. Themes that cut across China’s regulatory agencies include a lack of independence, insufficient resources for supervising a large and increasingly complex financial sector, and inadequate interagency coordination and systemic risk analysis. The remaining priorities for financial market infrastructure oversight include the adoption of full delivery-versus-payment and a stronger legal basis for settlement finality. Further enhancements to crisis management frameworks are needed to allow financial institutions to fail in a manner that minimizes the impact on financial stability and public resources. This would require amongst others greater emphasis on financial stability rather than social concerns in dealing with real and potential crisis situations, the introduction of a special resolution regime for failing banks, and a streamlining of the current system of financial safety nets.
In 2023, the average ratio of nonperforming real estate corporate loans of the leading Chinese banks stood at **** percent, a slight increase compared to the previous year. The ongoing real estate crisis changes the dynamic of the industry, which is why banks have to engage in risk management strategies to adapt to the new reality.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Silicon Valley Bank crisis that occurred in March 2023 highlights the importance of studying the risk transmission mechanism underlying monetary policy. To explore this mechanism in the monetary and financial services sector from the perspective of asset-liability management, the relationships between asset- and liability-side risks and the corresponding action direction of those risks were empirically studied based on the risk-taking channel theory of monetary policy using publicly available information on 176 Chinese monetary and financial services companies covering the period of 2000 to 2022. The analysis shows that asset-side risks are transmitted through monetary policy as liability-side risks in the monetary and financial service sectors. If the liability side passively takes on these risks, the action direction of monetary policy to asset-side risks is determined; when the liability side actively takes on these risks, monetary policy exerts opposite effects on both types of risks. This conclusion somewhat deepens our understanding of the risk transmission mechanism of monetary policy, which is helpful in better formulating and implementing monetary policy.
In 2024, China’s monetary authority, the People’s Bank of China, issued more than ** trillion yuan which was the highest amount issued in one year so far. Over the past years, the value of printed money increased steadily. The issuing of currency was one function of a central bank. Maintaining price stability One of the main policy objectives of the People’s Bank of China was to maintain price stability. Typically, countries set the desired inflation target and the central bank implements the necessary policies to achieve the said target. Usually, China keeps its inflation target at around ***** percent, but in 2021, the inflation rate dropped to under *** percent. If the inflation rate is too low, central banks can issue more currency and decrease the interest rate. In the opposite scenario, if the inflation rate is too high central banks try to reduce the amount of money in circulation by increasing the interest rate or decreasing bond prices. Managing the economy In capitalist market economies, economies usually undergo a boom and bust cycle. Central banks attempt to counteract this cyclical development to soften the impact for its citizens. For instance, the Chinese government aims to maintain an unemployment rate of around **** percent. However, crises such as the 2008 financial crisis and the outbreak of COVID-19 have an unforeseen impact on the economy. To lower the employment rate, the People’s Bank engaged specific monetary policies to stimulate the economy with the aim of increasing job creation.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
Market Size and Growth: The China luxury residential real estate market was valued at $146.25 million in 2025 and is projected to reach $170.78 million by 2033, exhibiting a CAGR of 6.28% during the forecast period. Strong economic growth, rising disposable incomes, and increasing urbanization are fueling the demand for luxury residential properties in major cities such as Beijing, Shanghai, Shenzhen, and Guangzhou. Key Trends and Drivers: The market is characterized by growing demand for premium amenities, such as smart home systems, rooftop gardens, and concierge services. Government policies are also encouraging the development of luxury residential properties, with increased investment in infrastructure and incentives for foreign investors. Additionally, the rise of the high-net-worth individual (HNWI) population in China and the increasing interest in international buyers are driving the market upwards. However, factors such as strict government regulations, rising construction costs, and limited land supply may pose challenges for the industry. Recent developments include: December 2022: A joint venture led by Shui On Land has won the land-use rights to develop a residential project on a plot in Shanghai’s Yangpu district with a bid of RMB 2.38 billion (USD 340 million). The parties plan to develop the 16,993.8 square metre (182,920 square foot) parcel on Pingliang Street into a heritage preservation project incorporating a high-end, low-density residential community. A wholly owned subsidiary of Shui On holds 60% of the JV, with the remaining 40% held by state-owned developer Shanghai Yangshupu., November 2022: China’s largest lenders ready to pump over USD 162 Billion of credit into the country’s property developers, as Xi Jinping’s government retreats from tight controls on leverage in the real estate sector that had sparked a property crisis. Industrial and Commercial Bank of China (ICBC), China’s largest lender by assets, announced it was extending credit lines totalling RMB 655 Billion (USD 92 Billion) to 12 developers.. Key drivers for this market are: 4., Higher incomes support4.; Massive industry change. Potential restraints include: 4., High imbalance in population versus real estate index. Notable trends are: Growth of urbanization driving luxury residential real estate market.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Revenue for the Residential Real Estate industry in China is expected to decrease at a CAGR of 9.8% over the five years through 2025. This trend includes an expected decrease of 9.6% in the current year.Since August 2020, the People's Bank of China and the China Banking and Insurance Regulatory Commission have proposed three debt indicators for real estate development and management companies through which the company's financial health can be rated. This new policy has exacerbated the company's debt pressure, making it unable to repay old debts by borrowing new debt. Some real estate companies faced a liquidity crisis.In 2022, the city's lockdown and laying-off caused by COVID-19 epidemic led to the pressure of delaying the delivery of houses. The industry's newly constructed and completed areas decreased significantly throughout the year. In addition, the epidemic has impacted sales in the industry, and some sales offices have been forced to close temporarily. In 2022, the residential sales area decreased by 26.8%, and the residential sales decreased by 31.2%.Industry revenue will recover at an annualized 0.7% over the five years through 2030. Over the next five years, the industry's drag on GDP will weaken, and industry growth will stabilize. However, high housing prices have become a major social problem in China. Under the measures on the principle that residential real estate is used for living, not speculation, the financial attributes of real estate will gradually weaken, and housing prices will tend to stabilize.
In the first quarter of 2025, TD Bank's U.S. operations distinguished itself with the highest common equity tier 1 (CET1) capital ratio among major U.S. banks by total assets. The bank's CET1 ratio of 17.56 percent significantly surpassed the regulatory minimum of 4.5 percent. By comparison, JPMorgan Chase, the largest U.S. bank, recorded a CET1 ratio of 15.42 percent during the same period. What is CET1 capital ratio? The Basel III framework, established by the Basel Committee on Banking Supervision, sets international standards for bank capital requirements to ensure global financial stability. Developed in response to the 2007-2009 financial crisis, these regulations require banks to maintain adequate capital to withstand unexpected losses and economic downturns. The framework mandates a total capital requirement of eight percent of risk-weighted assets, with Common Equity Tier 1 (CET1) - the highest quality capital - comprising at least 4.5 percent of that total. In 2024, JPMorgan Chase had the highest Tier 1 capital among all banks in the United States. Worldwide Tier 1 capital levels of banks JPMorgan Chase, while leading U.S. banks in Tier 1 capital, ranked fifth globally in 2024. Four Chinese banks outperformed it: Industrial and Commercial Bank of China (ICBC), China Construction Bank, Agricultural Bank of China, and Bank of China. Among these, ICBC emerged as the world's top bank in Tier 1 capital.
In 2023, the average price of real estate in China was approximately ****** yuan per square meter, representing a decrease from the previous year. Rising prices in the real estate market Since the 1998 housing reform, property prices in China have been rising continuously. Housing in the country is now often unaffordable, especially considering the modest per capita income of Chinese households. Shanghai and Beijing even have some of the most competitive real estate markets in the world. The rapid growth in housing prices has increased wealth among homeowners, while it also led to a culture of speculation among buyers and real estate developers. Housing was treated as investments, with owners expecting the prices to grow further every year. Risk factors The expectation of a steadily growing real estate market has created a property bubble and a potential debt crisis. As Chinese real estate giants, such as China Evergrande and Country Garden, operate by continuously acquiring land plots and initiating new projects, which often require substantial loans and investments, a slowdown in property demands or a decline in home prices can significantly affect the financial situation of these companies, putting China’s banks in a vulnerable position. In addition, due to a lack of regulations and monetary constraints, the long-term maintenance issues of high-rise apartments are also a concern to the sustainable development of China’s cities.
From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.
Global similarities, global differences
Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The China luxury residential real estate market, valued at $146.25 million in 2025, is projected to experience robust growth, driven by increasing high-net-worth individuals (HNWIs), a rising preference for upscale living, and government initiatives promoting sustainable urban development. The market's Compound Annual Growth Rate (CAGR) of 6.28% from 2019 to 2024 suggests a continued upward trajectory through 2033. Key market segments include villas and landed houses, commanding a significant share due to their exclusivity and spaciousness, alongside apartments and condominiums catering to a broader segment of affluent buyers. Beijing, Shanghai, Shenzhen, and Guangzhou are the leading cities, attracting both domestic and international investors due to their economic strength and established luxury infrastructure. However, government regulations aimed at curbing speculation and ensuring affordability could act as a restraint on rapid market expansion. The competitive landscape includes both established domestic players like Evergrande Real Estate Group Limited, China Vanke Co., and Poly Real Estate Group Co., as well as international luxury brands like Christie's International Real Estate, all vying for a share of this lucrative market. The increasing demand for sustainable and technologically advanced luxury homes will further shape market trends in the coming years. The forecast period (2025-2033) anticipates continued growth, fueled by a burgeoning middle class with increased disposable income, particularly in rapidly developing Tier-1 and Tier-2 cities beyond the major metropolitan areas. This expansion will likely be accompanied by diversification in property types, with a greater emphasis on smart home technologies, sustainable building materials, and personalized luxury services. Competition among developers will intensify, necessitating strategic partnerships, innovative designs, and superior customer service to attract discerning buyers. While regulatory hurdles and economic uncertainties might temper growth, the long-term outlook for the China luxury residential real estate market remains positive, positioning it as a significant investment opportunity for both domestic and international stakeholders. Recent developments include: December 2022: A joint venture led by Shui On Land has won the land-use rights to develop a residential project on a plot in Shanghai’s Yangpu district with a bid of RMB 2.38 billion (USD 340 million). The parties plan to develop the 16,993.8 square metre (182,920 square foot) parcel on Pingliang Street into a heritage preservation project incorporating a high-end, low-density residential community. A wholly owned subsidiary of Shui On holds 60% of the JV, with the remaining 40% held by state-owned developer Shanghai Yangshupu., November 2022: China’s largest lenders ready to pump over USD 162 Billion of credit into the country’s property developers, as Xi Jinping’s government retreats from tight controls on leverage in the real estate sector that had sparked a property crisis. Industrial and Commercial Bank of China (ICBC), China’s largest lender by assets, announced it was extending credit lines totalling RMB 655 Billion (USD 92 Billion) to 12 developers.. Key drivers for this market are: 4., Higher incomes support4.; Massive industry change. Potential restraints include: 4., Higher incomes support4.; Massive industry change. Notable trends are: Growth of urbanization driving luxury residential real estate market.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Annual data on the size of China Shadow Bank credit was taken from two sources. Moodys (China) produces data 2000-2012 and Goldman Sachs 2013-2018. The average growth rate 2000-2015 was applied to generate data prior to 2000. Annual data was interpolated to produce quarterly estimates using the cubic match last function in EViews so that the integrity of the annual stock data is maintained for the 4th quarter.The Chinese financial system has served the Chinese economy well in the early stages of development in channeling domestic savings to domestic investment. But, continued financial repression, along with a growing middle class and ageing population has created pressure on savings to 'search for yield'. At the same time, the dominance of lending to state-owned-enterprises, political constraints, inefficiencies and weak risk management practice by financial institutions (FI) have pushed SMEs to alternative sources of funding. The demand for yield from savers and funds from private investment has been met by the rapid growth in shadow banking. This study encompasses two of the identified themes of the research call. The research theme 'alternative strategies for reform and liberalization' covers the role of the Shadow Bank system in the credit intermediation process. This research is of critical importance because it informs the macroeconomic research necessary for investigating 'the role of the Chinese financial system in sustaining economic growth'. Addressing the first research theme we take a dual track approach to better understand the role of the financial system in sustaining in economic growth. The first track examines the role of bank and non-bank finance in promoting long-term economic growth at the regional level. The second track is aimed at the more short-term issue of identifying the potential frequency of macro-economic crises generated by a banking crisis. The finance-growth nexus is a well-established area of economic development, however the China experience questions the supposition that financial development is a necessary precondition. The empirical findings are mixed. Part of the reason for this could be the failure to distinguish between the quality of financial institutions across regions, and the openness of the local environment in terms of the balance between private and public enterprises. Our research would build on the existing literature in two ways. First, it would utilize imperfect but available data on informal finance to examine direct and spill-over effects on medium term growth from contiguous provinces. Second, primary data on the geographic dimension in shadow bank lending gleaned from Theme 2 research will be used to design a weighting system to adjust financial flows for the quality of the local financial environment. The second prong will develop a small macroeconomic model of a hybrid DSGE type that incorporates a banking sector including shadow banks. Such models have been developed for China in recent times but only a few have attempted to incorporate a banking sector.These models are mostly calibrated versions and make no attempt to test the structure against the data. Recent attempts to test a hybrid New Keynesian-RBC DSGE type model for the Chinese economy using the method of indirect inference have been successful and inclusion of a shadow banks have shown some success. The results of the Theme 2 study will inform the development of a fuller shadow banking sector in the macroeconomic model that will be used to estimate the frequency of economic crises generated by bank crises. Theme 2 research will examine the relationship between the banking system and the shadow banking system as complements or substitutes. It will aim to determine the variable interest rate on the P2P online lending platform on the basis of risk-return, the home bias in online investments, and the signaling and screening in the P2P online lending platform. Finally, it will aim to identify the impact of shadow banking on entrepreneurial activity, the industrial growth rate and regional housing investment and price differentials. These results would inform the theme 1 research on the interconnectedness of shadow banking with the mainstream and the fragility of the financial system to shocks and financial crises. Secondary data was taken from multiple Reports on China Shadow Banking published by Goldman Sachs (china) and Moodys (China). The data 2000-2018 corresponds to the annual data obtained from the reports. The quarterly data was obtained by interpolation. Data prior to 2000 was generated using the assumed average growth rate of shadow bank credit for 2000-2015.