检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:谭袁月
出 处:《商业研究》2016年第12期126-131,共6页Commercial Research
摘 要:如何在P2P网络借贷中实现收益和风险的最优化组合是投资者关注的核心问题。本文将投资者的投资组合最优化决策转化为在一定预期收益率下的风险最小化问题,利用核回归刻画历史贷款与新贷款的相似度,以相似度为基础构建实例模型,支持投资者进行投资组合的最优化决策;进而以在线网络借贷平台人人贷2015年散标交易数据为样本,对使用实例模型的可行性进行实证研究,结果表明,实例模型表现出良好的预测能力,有助于P2P借贷平台的投资者进行投资组合的最优化决策。In P2P lending, how to realize the optimal combination of income and risk is the core issue of investor concern. In this paper, the optimization of investment portfolio optimization is transformed into a risk minimization problem under a certain expected rate of return. The kernel regression is used to describe the similarity between historical loan and new loan, to con- struct an instance model based on similarity, and support the optimization decision of investor to make the investment portfolio. The feasibility of the example model is empirically studied by taking 2015 data of Chinese online network lending platform Ren- rendai as a sample. Result shows example model shows good forecasting ability, and it is helpful for the investors to make the optimal decision of the investment portfolio of P2P lending platform.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.112