sPortfolio: Stratified Visual Analysis of Stock Portfolios

Abstract

Fig. 1. With sPortfolio, we can observe the management and strategy of stock portfolios from different perspectives. A) The portfolio cluster view gives an overview of all stock portfolios within a given time-period. B) The factor correlation view reveals the return correlations of risk factors, which can be used to validate the effectiveness of the factors in a multi-factor model. C) The comparison view is designed to compare the risk preference and sector position of portfolios, which reveals their strategies. D) The individual portfolio view illustrates the stock holdings and trading style of a specific portfolio.Abstract-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 sPortfolio, 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 system's effectiveness and usability are demonstrated through three case studies. The system has passed its pilot study and is soon to be deployed in industry.

iQUANT: Interactive Quantitative Investment Using Sparse Regression Factors

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Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions

“…Lusardi et al provides visual analytics tools for financial literacy [31]. Additional research has also considered the intersection of visualization and financial decisions in relation to cognitive biases [57] and risk premium [56]. But one gap of this research on financial decision-making in visualization research has been the connection with research on visualizing uncertainty in which different techniques for encoding uncertainty such as Hypothetical Outcome Plots [16] or Quantile Dot Plots [8] which have different effects on users' belief-updating and decision outcomes [8,[20][21][22]24].…”