Tokenization of distributed insurance by auction

Runhuan Feng, Seongyoon Kim, Amichai Painsky

Research output: Contribution to journalArticlepeer-review

Abstract

It is a trend in the decentralized finance market that a wide range of financial services are provided through tokenization without traditional financial intermediaries. The insurance market is known to be highly centralized and thus by nature difficult to decentralize. This paper exploits a new approach to tokenize insurance portfolios and break them down for sale to investors via an auction. In particular, the distribution of investment and returns is optimized through a classic knapsack algorithm. In examples with real-world data, it is shown that the proposed approach can improve the efficiency of trading relative to a naive approach that prioritizes minimizing payments to investors per unit of capital investment. Moreover, potential bidding strategies are investigated such as merging and splitting bids.

Original languageEnglish
Pages (from-to)1039-1057
Number of pages19
JournalJapanese Journal of Statistics and Data Science
Volume7
Issue number2
DOIs
StatePublished - Nov 2024

Keywords

  • Auction
  • Distributed insurance
  • Knapsack problem
  • Tokenization

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Theory and Mathematics

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