Data from Guangdong University of Foreign Studies Advance Knowledge in Machine L earning (How Does the Economic Structure Break Change the Forecast Effect of Mon ey and Credit On Output? Evidence Based On Machine Learning Algorithms)

Robotics & Machine Learning Daily News2024，Issue(MAY.15) ：43-43.

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Data from Guangdong University of Foreign Studies Advance Knowledge in Machine L earning (How Does the Economic Structure Break Change the Forecast Effect of Mon ey and Credit On Output? Evidence Based On Machine Learning Algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Guangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “This study examines quarterly dat a from China spanning 1993 to 2016, employing machine learning algorithms to inv estigate the predictive ability of money and credit on output amidst significant structural changes, including the 2007 Global Financial Crisis and shifts in fi nancial structure. The findings highlight that credit is a more effective predic tor of output than money, capable of forecasting both short and long-term output trends.”

Key words

Guangzhou/People’s Republic of China/A sia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Guangdong Uni versity of Foreign Studies

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出版年

2024

Robotics & Machine Learning Daily News

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