sPortfolio: Stratified Visual Analysis of Stock Portfolios

被引:18
作者
Yue, Xuanwu [1 ,2 ]
Bai, Jiaxin [1 ]
Liu, Qinhan [1 ]
Tang, Yiyang [1 ]
Puri, Abishek [1 ]
Li, Ke [3 ]
Qu, Huamin [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China
[2] Sinovat Ventures AI Inst, Beijing, Peoples R China
[3] RiceQuant Co Ltd, Shenzhen, Guangdong, Peoples R China
关键词
Stock portfolio; visual analytics; factor investment; financial data analysis; VISUALIZATION;
D O I
10.1109/TVCG.2019.2934660
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Quantitative Investment, built on the solid foundation of robust financial theories, is at the center stage in investment industry today. The essence of quantitative investment is the multi-factor model, which explains the relationship between the risk and return of equities. However, the multi-factor model generates enormous quantities of factor data, through which even experienced portfolio managers find it difficult to navigate. This has led to portfolio analysis and factor research being limited by a lack of intuitive visual analytics tools. Previous portfolio visualization systems have mainly focused on the relationship between the portfolio return and stock holdings, which is insufficient for making actionable insights or understanding market trends. In this paper, we present s Portfolio, which, to the best of our knowledge, is the first visualization that attempts to explore the factor investment area. In particular, sPortfolio provides a holistic overview of the factor data and aims to facilitate the analysis at three different levels: a Risk-Factor level, for a general market situation analysis; a Multiple-Portfolio level, for understanding the portfolio strategies; and a Single-Portfolio level, for investigating detailed operations. The systems effectiveness and usability are demonstrated through three case studies. The system has passed its pilot study and is soon to be deployed in industry.
引用
收藏
页码:601 / 610
页数:10
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