CHINA'S FIRST FINANCIAL WEATHER, AI MODEL, "INTELLECTUAL MACHINES" RELEASE

January 12, according to the China Weather Service, China's first financial weather AI ModelsNeptuniumit was published in guangdong on january 11th。

The Quaker was developed by the University of Jordan and the China National Meteorological Information CentreTo explore the role of meteorological factors in the pricing of financial assetsInnovative tools for risk management and investment decisions。

ZHAO YANXIA, DIRECTOR OF THE FINANCIAL WEATHER FOCUS OPEN LABORATORIES, CHINA METEOROLOGICAL ADMINISTRATION, INTRODUCED THE QUILIUM FINANCIAL WEATHER AI MODEL, BASED ON GLOBAL METEOROLOGICAL REANALYSIS DATA AND STOCK PRICE DATAIT'S CAPABLE OF PREDICTING THE FUTURE SHORT-TERM RETURN ON MOST OF THE A STOCK MARKET.

ZHAO ZINGXIA INDICATED THAT MODEL VALIDATIONS SHOWED THAT ITS IDENTIFICATION RESULTS FOR HIGHLY WEATHER-SENSITIVE INDUSTRIES, INCLUDING NEW ENERGY INDUSTRIES SUCH AS WIND AND POWER GENERATION, TRADITIONAL PETROCHEMICAL INDUSTRIES, CONSTRUCTION INDUSTRIES, AGRICULTURE, ETC., WERE HIGHLY CONSISTENT WITH THE INDUSTRIES LISTED BY THE WORLD METEOROLOGICAL RISK MANAGEMENT INSTITUTE AND IN LINE WITH THE GENERAL UNDERSTANDING OF THE MARKET. MOREOVER, INVESTMENT STRATEGIES BASED ON TESTING AND REASONING HAVE SHOWN A CONSISTENT AND STABLE POSITIVE RETURN OVER A NUMBER OF TIME PERIODS IN HISTORICAL RETROSPECTS, EVIDENCING THE VALIDITY AND APPLICATION POTENTIAL OF METEOROLOGICAL FACTORS IN THE A STOCK MARKET。

CHINA'S FIRST FINANCIAL WEATHER, AI MODEL, "INTELLECTUAL MACHINES" RELEASE

Li Xuan, Professor at the Institute of Artificial Intelligence Innovation and Industry of the Université du Redd, explained that the Meridian model has a wide range of applications in the financial sector:

  • Marketed companies in the weather-sensitive industry can use their predictionsClimate risk management and market value maintenance;
  • Financial institutions such as banks, insurance, etc. can apply themControl of equity pledge business riskand explore innovative business models such as climate investment finance
  • Investors can use it as an aid to quantitative investment
  • Academies can also test theories related to improving asset pricing through model outputs。

1AI NOTES THAT THE CHINESE METEOROLOGICAL SERVICE AND OTHER DEPARTMENTS PUBLISHED THE FOLLOWING:Guidance on enhancing financial climate synergy for quality economic and social development" , with objectives:

  • By 2025, operational synergies and robust meteorological and financial coordination mechanisms had been established, weather disaster risk reduction had been effective, financial weather index products had been enriched, a replicable and replicable model of financial weather services had been explored, and the capacity and level of meteorological and financial synergies had increased significantly。
  • By 2030, the institutional mechanisms and standard systems will have been improved by creating a policy environment conducive to the well-coordinated development of climate and finance. Financial weather data, products, technologies, human resources, etc., have worked effectively, a chain-wide system of services security has been established, and the efficiency and security of meteorological and financial collaboration has improved significantly。
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