China Loans Growth Is ‘Lying Down’ With No Clear Answer to Its Financial Problems

China Loans Growth Is ‘Lying Down’ With No Clear Answer to Its Financial Problems
Chinese yuan banknotes are seen on a table at a bank counter in Hangzhou, China, on Aug. 30, 2019. STR/AFP via Getty Images
Law Ka-chung
Updated:
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Commentary

The People’s Bank of China (PBoC) cut the required reserve ratio (RRR) by 25 basis points (bps) for all financial institutions. The mouthpiece claimed a release of 500 billion yuan (or over 70 billion U.S. dollars) in just one cut, but if this had been the case, then the trillion-debt crisis would have been resolved easily with a series of few more cuts. RRR cut is nothing but the removal of banks’ lending limits. Nevertheless, the problem now is not hitting the lending ceiling, that is, not a lack of loan supply; rather, it is the loans demand that has been too weak.

The best way to see this is to examine the direct relationship between RRR and loans by financial institutions. The accompanying chart shows the scatter plot of them where both are in year-over-year (YoY) growth. If RRR were an effective tool, we should see a negative relationship between its cut and loan growth. Yet this is not always the case; from the beginning of loan growth data from mid-1999 to now, only four years out of this 23-year period display a negative relationship.

China's required reserve ratio YoY change. (Courtesy of Law Ka-chung)
China's required reserve ratio YoY change. Courtesy of Law Ka-chung

The financial tsunami was a hard hit on the U.S. but never on China. Although China’s stock market indexes dropped 80 percent over time, the economy was not much affected. This was evidenced by the double-digit GDP growth seen before 2007 and right after the 2011 crisis, where housing prices did not correct by much. Without experiencing a truly negative shock, the strong boost from a sharp cut of RRR around 2008 did happen as expected. Loans growth surged to over 30 percent a year after the policy stimulus. What happened to the rest of the period, then?

Before the financial tsunami, the relationship between them was slightly positive. That was the period of China’s boom right after joining World Trade Organisation. The story was simple, and the logic was the other way around: it was the lending boom that led the PBoC to raise RRR to curb the overheating. Therefore, a positive co-movement of both going up was observed.

After the financial tsunami, China was declining, and GDP growth fell from double-digit to low single-digit. However, the decline was prolonged and continues until now, albeit a so-called soft landing has been achieved so far. Investors (sellers) and consumers (buyers) have both lost patience, and their behaviour is by now not much altered by monetary policy. Accordingly, loan growth remained at a similar level regardless of the change in RRR, as is shown by the red circles and trendline. Mainlanders term this as “lying down.”

From this, we can see when the trendline is positively sloped, this is a good signal of a boom, and when it is negatively sloped, this shows the monetary policy is effective. But if the trendline is “lying down” (flat), this is highly problematic. There are no hints for policymakers. Even now, there is no clear answer for a way out of China’s Japanisation problem (high debt and low growth).
Views expressed in this article are opinions of the author and do not necessarily reflect the views of The Epoch Times.
Law Ka-chung
Law Ka-chung
Author
Law Ka-chung is a commentator on global macroeconomics and markets. He has been writing numerous newspaper and magazine columns and talking about markets on various TV, radio, and online channels in Hong Kong since 2005. He covers all types of economics and finance topics in the United States, Europe, and Asia, ranging from macroeconomic theories to market outlook for equities, currencies, rates, yields, and commodities. He has been the chief economist and strategist at a Hong Kong branch of the fifth-largest Chinese bank for more than 12 years. He has a Ph.D. in Economics, MSc in Mathematics, and MSc in Astrophysics.
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