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Supply Chain Finance Solution
AIFT provides a platform as a business ecosystem for stakeholders in the value chain of cross-border e-commerce finance, including banks, logistics firms and payment firms. The sales proceeds in this e-commerce platform and cash deposits in payment-service channels are used as assignment of account-receivable and margin deposits respectively.
Published by kamidesu -
AI China Bond
AI China Bond Project aims to combine AI algorithms and data, both traditional and alternative, to gain significant improvements in three key areas of China bond markets: credit rating, valuation, and risk management. At this stage it focuses on China onshore markets and covers 8000+ Chinese bonds. From haircut estimations to early warning systems that are triggered by high default risks, this project provides a comprehensive investing toolkit for successful investing in the growing China bond market.
Published by kamidesu -
Investment Intelligence
Our flagship investment application provides value-adding information to assist investors in making investment decisions in the secondary market across global stock markets and alternative assets. The application utilizes big data and cutting-edge academic research to provide a comprehensive investment toolkit, including market risk monitoring, portfolio management and risk estimation, asset allocation, sector rotation, pattern recognition and a customizable backtesting engine.
Published by Constantine Chung
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AIFT provides a platform as a business ecosystem for stakeholders in the value chain of cross-border e-commerce finance, including banks, logistics firms and payment firms. The sales proceeds in this e-commerce platform and cash deposits in payment-service channels are used as assignment of account-receivable and margin deposits respectively.
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AI China Bond Project aims to combine AI algorithms and data, both traditional and alternative, to gain significant improvements in three key areas of China bond markets: credit rating, valuation, and risk management. At this stage it focuses on China onshore markets and covers 8000+ Chinese bonds. From haircut estimations to early warning systems that are triggered by high default risks, this project provides a comprehensive investing toolkit for successful investing in the growing China bond market.
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Our flagship investment application provides value-adding information to assist investors in making investment decisions in the secondary market across global stock markets and alternative assets. The application utilizes big data and cutting-edge academic research to provide a comprehensive investment toolkit, including market risk monitoring, portfolio management and risk estimation, asset allocation, sector rotation, pattern recognition and a customizable backtesting engine.
Our flagship investment application provides value-adding information to assist investors in making investment decisions in the secondary market across global stock markets and alternative assets. The application utilizes big data and cutting-edge academic research to provide a comprehensive investment toolkit, including market risk monitoring, portfolio management and risk estimation, asset allocation, sector rotation, pattern recognition and a customizable backtesting engine.
AI China Bond Project aims to combine AI algorithms and data, both traditional and alternative, to gain significant improvements in three key areas of China bond markets: credit rating, valuation, and risk management. At this stage it focuses on China onshore markets and covers 8000+ Chinese bonds. From haircut estimations to early warning systems that are triggered by high default risks, this project provides a comprehensive investing toolkit for successful investing in the growing China bond market.
AIFT provides a platform as a business ecosystem for stakeholders in the value chain of cross-border e-commerce finance, including banks, logistics firms and payment firms. The sales proceeds in this e-commerce platform and cash deposits in payment-service channels are used as assignment of account-receivable and margin deposits respectively.