Blockchain-Based Asset Securitization and Machine Learning for Finance

Dear Colleagues,

The average life span of micro-, small-, and medium-sized enterprises (MSMEs) is only 3–8 years, mainly due to the lack of external financing, especially external equity financing. To solve the problems associated with this, a promising method is to let MSMEs receive financing by issuing asset-backed securities based on blockchain technology. The blockchain technology can record cash flow reliably, verifiably with a timestamp, and distribute wealth intelligently based on the cash flow generated according to the contracts signed in advance.

It is my pleasure to serve as a guest editor of a Special Issue (SI) in the Journal of Risk and Financial Management (ISSN 1911-8074) titled “Blockchain-Based Asset Securitization and Machine Learning for Finance”. The SI includes topics related to contract theory and asset-backed security design and it is better if blockchain technology is taken into account. We are particularly interested in papers where asset-backed security is collateralized by an underlying pool of equity issued by MSMEs subject to financing constraints.

Machine learning in finance is reshaping financial services. Topics for publication include but are not limited to asset pricing, portfolio choice, algorithmic trading, high-frequency trading, fraud detection, loan or insurance underwriting, risk management, and money-laundering prevention.

It will be highly appreciated if you share this post with colleagues who might find this SI to be of interest.

Yours sincerely,

Dr. Zhaojun Yang
Guest Editor

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