汽车残值计算利用人工智能和机器深度学习技术，通过Spearman相关系数挖掘各个特征与价格走势的关联度，使用了特征排序、时间序列分析等技术进行预测，预测未来1-3年的车辆价值，在车辆正常车况的情况下，给出的车辆3年残值预测容错率在7.8%以内。根据残值数据能更好地为金融产品做基础设计和资产回收服务，设计合理的首付比例。

西部数据交易中心2023-10-28 更新1020

Search Frictions and Product Design in the Municipal Bond Market

市政债券市场

金融产品设计

This paper shows that product design shapes search frictions and that intermediaries leverage this channel to increase their rents in the context of the U.S. municipal bond market. The majority of bon

NBER2022-12-01 更新90

Replication Data for: \"Financial Product Design in Decentralized Markets\"

去中心化金融

金融产品设计

Code replicating the figures in the article, Rostek and Yoon (2024), \"Financial Product Design in Decentralized Markets,\" accepted in 2024 by the Journal of Political Economy.

DataONE2024-05-13 更新70

Replication Data for: "Financial Product Design in Decentralized Markets"

资源简介：

Replication Data for: "Financial Product Design in Decentralized Markets"

资源简介：

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