Evaluating the Optimal Risk Decision Model of P2P Network Lending under the Environment of Financial and Technology

碩士 === 東吳大學 === 會計學系 === 105 === P2P lending platform is undoubtedly with the rapid development of financial technology under the rapid growth of P2P lending platform designed to break the traditional financial institutions to borrow information on the process of opaque and provide services to tradi...

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Bibliographic Details
Main Authors: LEE,MU-CHEN, 李慕真
Other Authors: LEE,KUN-CHANG
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/7gn4km
Description
Summary:碩士 === 東吳大學 === 會計學系 === 105 === P2P lending platform is undoubtedly with the rapid development of financial technology under the rapid growth of P2P lending platform designed to break the traditional financial institutions to borrow information on the process of opaque and provide services to traditional financial institutions do not want to invest in the community, seemingly alternative tradition The possibility of financial institutions financing business. This paper explores the optimal risk decision-making of P2P loan platform under the financial and technological environment, and explores that in the environment of changing technology, the government, industry or the public must still have a rainy day, despite the convenience, efficiency and economic benefits of financial technology. Concepts and supporting measures, otherwise it may lead to financial market instability and social unrest. In this paper, we hope that by summarizing the development trend of foreign countries and discussing the risks associated with P2P lending borrowing, this paper analyzes the relationship between the structure, the index and the program, and the decision-making laboratory analysis (DEMATEL) (ANP) to understand the risk and the weight and order of the implementation plan, and obtain the optimal risk of the P2P lending borrowing platform under the financial technology environment.Finally, the paper analyzes the relationship between the risk of the P2P lending borrowing and the risk index decision making. Finally, the weights derived from the Analytical Network Program (ANP) are combined with the ZOGP method. Under the consideration of resource coercion and different objectives, the study shows how the proposed method works.