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China Industrial Output Rose but Below Expectations in November

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Chinese industrial production and retail sales data for November were mixed, exacerbating concerns about slowing growth amid the recent trend of below-view indicators.

Industrial production rose 7.2 percent on year in November, below expectations for a 7.5 percent increase in a Reuters poll and down from October’s 7.7 percent rise. Meanwhile, retail sales rose 11.7 percent on year, above expectations for an 11.5 percent rise.

Fixed asset investment for the January-November period increased 15.8 percent, in line with expectations. Property investment increased 11.9 percent for the January-November period, slower than the 12.4 percent increased over the January-October period.

Friday’s figures follow weaker-than-expected imports, exports and inflation figures earlier this week, adding to speculation that the Chinese central bank will undertake additional easing measures. In late November, the People’s Bank of China cut interest rates for the first time in over two years to support the flagging economy as Beijing appears on course to miss the 7.5 percent growth target set earlier this year.

via CNBC

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Alfonso Esparza

Alfonso Esparza

Senior Currency Analyst at Market Pulse
Alfonso Esparza specializes in macro forex strategies for North American and major currency pairs. Upon joining OANDA in 2007, Alfonso Esparza established the MarketPulseFX blog and he has since written extensively about central banks and global economic and political trends. Alfonso has also worked as a professional currency trader focused on North America and emerging markets. He has been published by The MarketWatch, Reuters, the Wall Street Journal and The Globe and Mail, and he also appears regularly as a guest commentator on networks including Bloomberg and BNN. He holds a finance degree from the Monterrey Institute of Technology and Higher Education (ITESM) and an MBA with a specialization on financial engineering and marketing from the University of Toronto.
Alfonso Esparza

@alfonso_forex

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