FDI Forecasting in View of Big Data

摘要：

　　Big data are widely used today, whether and how to use big data in economic variables forecast has become a new field of economic research.In FDI forecasting, two types of data can be applied, namely traditional government statistical data and online data.Government statistical data are well-structured, where-as online data is unstructured information.This paper explores whether online data can help us to forecast FDI and analyze the best model to forecast the FDI.We find that traditional government statistical data and online data both can help forecast the FDI;but the correct method for forecast is putting traditional.government statistical data and online data in the right order to construct the forecast model, and only do this can the optimal model be determined.

关键词： FDI Forecast Big Data

作者: XU Xiaofei

作者单位: School of Business, Beijing Language and Culture University, Beijing, China,100083

会议类型: 国际会议

会议名称: The 9th (2017)International Conference on Financial Risk and Corporate Finance Management(第九届(2017)金融风险与公司金融国际研讨会)

会议地点: 日本

会议语种:英文

页码: 145-150

在线出版日期: 2017-07-01（万方平台首次上网日期，不代表论文的发表时间）