As the burden of climate change continues to grow, many developing countries are facing severe pressure to choose: repay debts or invest in basic public services such as health care and education?
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Since the beginning of this year, Meta's stock price has been soaring to record highs, and its co-founder and CEO Mark Zuckerberg has also sold a lot of the company's shares.
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As 2024 draws to a close, global financial markets are once again focused on the Federal Reserve's upcoming FOMC meeting on Wednesday, December 18th.
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At present, the global financial market is changing, the policy trend of central banks undoubtedly affects the nerve of the market.
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With the change in Trump's attitude towards Bitcoin after taking office, a dark horse emerged from the weak US economy under inflation - "Bitcoin". Data analysis shows that Bitcoin was still at more than 60,000 US dollars in early October, but it rose twice in November to 98,700 US dollars.
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On December 12, 2024, the European Central Bank (ECB) announced a 25 basis point cut to its three key interest rates: the deposit rate was reduced to 3.00%, the marginal lending rate to 3.400%, and the main refinancing rate to 3.150%.
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In the current global economic landscape, every subtle move in the financial markets pulls at the heartstrings of countless investors. Recently, market expectations that the Bank of Japan may raise interest rates further are significantly increasing, especially in January to raise the speculation is particularly hot.
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After the implementation of emergency martial law in South Korea on December 3, 2024, its financial markets were like a strong storm, and were significantly impacted from multiple dimensions.
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In the financial wave of 2024, the price of Bitcoin is like a dazzling and mysterious meteor, breaking through $100000 for the first time on the 5th.
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In the turbulent landscape of the global foreign exchange market, the recent trend of the yen-dollar exchange rate has attracted numerous eyes.
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Chinese artificial intelligence startup DeepSeek and Tsinghua University have jointly developed a new model that can reportedly improve the reasoning ability of large language models, reduce the amount of training to reduce operating costs, and may be applied to the upcoming next-generation large model R2.
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