Large-scale peer-to-peer loan consensus based on minimum cost consensus
研究了将最小成本共识模型应用于大规模P2P贷款决策，基于Lending Club的103笔贷款数据构建模型，分析不同共识水平对利率调整和成本的影响，帮助平台提高贷款共识效率并增加出借人回报率。
Large-scale decision-making, which involves a large number of participants, is common in practical applications. While cost is a crucial factor in large- scale decision-making, research on minimum cost consensus in group decision-making are mainly focused on a small number of experts. The goal of this paper is to expand the application of minimum cost consensus models to large-scale decision-making problems, and provide an approach for modeling and optimizing the cost in large-scale decision-making. This paper randomly collected a sample of 103 loans from one of the leading U.S. peer-to-peer loan platforms-Lending Club, and constructed several loan consensuses models. The minimum cost of loan consensus and changes of borrowers’ group opinions under such scenarios were studied. In addition, we discussed the effects of different loan consensus levels on the adjustments of interest rates and the consensus costs. The results showed that the proposed models can help Lending Club improve the efficiency of loan consensus reaching, and increase the rate of return of lenders. The proposed models provide a new way to coordinate the funds supply and demand of large-scale peer-to-peer lending, and help lenders and borrowers to reach a certain level of consensus on interest rates.