Tiger Research Partners with Finloop on RWA Tokenization Research

Tiger Research, a South Korean Web3 research firm, announced on the 7th a strategic partnership with Hong Kong-based RWA tokenization fintech Finloop. The collaboration targets RWA tokenization research and investor ecosystem development. Finloop is incubated by Fosun Wealth Holdings under Hong Kong financial group Fosun Group.

The partnership combines both companies' expertise in Korean and Hong Kong RWA tokenization markets to support knowledge cultivation for local issuers and investors.

Partnership Focuses on Joint Research and Market Education Initiatives

The two companies will jointly publish RWA tokenization research, produce and distribute market education content, develop feasibility assessments and execution plans for RWA asset issuance, tokenization and distribution, and explore diverse use cases and application models for RWA tokenization products.

Leadership Comments on Collaboration Goals

Kim Gyu-jin, CEO of Tiger Research, stated: "Through this collaboration with Finloop, we will work to enhance the transparency and information level of Korea's RWA tokenization ecosystem, as well as deliver in-depth insights about Korea's RWA tokenization market to investors and institutions in Greater China."

Cai Hua, CEO of Finloop, said: "Finloop has proven experience in RWA tokenization issuance and global distribution. Based on our cooperation with Tiger Research, we will accelerate local RWA tokenization market education and issuance services."

FAQ

What did Tiger Research announce on the 7th?

Tiger Research announced a strategic partnership with Finloop, a Hong Kong RWA tokenization fintech company, to advance RWA tokenization research and build an investor ecosystem in Korean and Hong Kong markets.

What activities will Tiger Research and Finloop undertake together?

The two companies will jointly publish RWA tokenization research, produce market education content, develop feasibility assessments for RWA asset issuance and tokenization, and explore use cases for RWA tokenization products.