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Follow up on Guangzhou! First-tier cities all cancel the standard of ordinary and non-ordinary residential properties, what is the market impact?
① With Guangzhou's official announcement today, all four first-tier cities have now canceled the standards for ordinary residences and non-ordinary residences. ② "For first-tier cities, after canceling the standards for ordinary residences and non-ordinary residences, it can significantly reduce the value-added tax costs in the second-hand housing trade process, lower transaction costs, and promote improving demand."
haitong int'l: Significant improvement in commodity housing sales in October, with a narrowing year-on-year decline in completion.
The current real estate sector's market cap as a percentage of economic value is not completely equivalent, indicating potential for value reassessment.
The unchanged LPR in November meets market expectations. Industry insiders do not rule out the possibility of further interest rate cuts next year along with the reverse repurchase rate.
① By the end of the year, the economic running is expected to continue its upward trend, with policy interest rates likely to remain stable and LPR quote also expected to stay unchanged. ② There is a high possibility of further reductions in deposit rates in the future, coupled with the issuance of special treasury bonds to support large state-owned commercial banks in replenishing their core tier one capital, which is expected to gradually alleviate the interest spread and operational pressure for commercial banks. It is possible that next year the LPR quote may be accompanied by further interest rate cuts on reverse repurchase agreements.
According to the Finger Research Institute, in October, the average price of second-hand residences in 100 cities dropped by 7.27% compared to the same period last year.
According to data monitoring by the China Index Academy, in October 2024, the average price of second-hand residences in 100 cities was 14,360 yuan per square meter, a month-on-month decrease of 0.60%, narrowing the decline by 0.10 percentage points compared to September; a year-on-year decrease of 7.27%.
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Credit Rating of Major Banks | CICC: Significant improvement in domestic real estate data, first recommendation is china overseas, longfor group, and greentown china
Jianyin International released a report stating that, according to the National Bureau of Statistics, the real estate market in China showed significant improvement in October, narrowing from a year-on-year decline of 16.3% in September to 1% in October, thanks to strong policy support implemented in September and October. On a monthly basis, sales in October saw a 12.9% decrease compared to September. As of October, real estate sales declined by 20.9%, with the sales area decreasing by 15.8% and the average price dropping by 6.1%. The significant improvement in nationwide sales in October is consistent with the industry data released by the China Index Academy. Analyzing by city tier, the recovery of sales in first, second, and third-tier cities.
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72423057 : I want to ask those studying stock price charts, whether it is the stock price that determines the chart, or the chart that predicts the future trend of the stock price?
Moon fairy 大炮仙 ❤ 72423057 : Chart is just a references, history or an information for you to guess what the price or trend going to form in the future. And is no guarentee that even you study the chart you will know the future. And if eg 1000 people see the same chart and almost 90% guess the same things maybe it will be chart leading us to play in the same way to had that same outcome.
Moon fairy 大炮仙 ❤ : Another to ask yourself is,, You play the game? Or the game play you.
wahlao 72423057 : Its human emotions determine stock price, price determine chart. See chart to see human emotions, but humans could be logical so u can't be sure 100%. It's the meaning of life. Deep.
fearless Puppy_9024 72423057 : Stock prices determine charts through recorded trading activity. However, charts can influence market behavior indirectly when traders use them to predict trends. External variables like institutional trades, company news(e.g. earning reports, mergers, acquisitions, product launches or management change) and micro-economic factors(e.g. interest rate, political events, global market conditions) can also override typical chart-based predictions by introducing sudden volatility or trends.
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