DocumentCode :
2399947
Title :
FinVis: Applied visual analytics for personal financial planning
Author :
Rudolph, Stephen ; Savikhin, Anya ; Ebert, David S.
Author_Institution :
Purdue Univ. Regional Visualization & Analytics Center (PURVAC), West Lafayette, IN, USA
fYear :
2009
fDate :
12-13 Oct. 2009
Firstpage :
195
Lastpage :
202
Abstract :
FinVis is a visual analytics tool that allows the non-expert casual user to interpret the return, risk and correlation aspects of financial data and make personal finance decisions. This interactive exploratory tool helps the casual decision-maker quickly choose between various financial portfolio options and view possible outcomes. FinVis allows for exploration of inter-temporal data to analyze outcomes of short-term or long-term investment decisions. FinVis helps the user overcome cognitive limitations and understand the impact of correlation between financial instruments in order to reap the benefits of portfolio diversification. Because this software is accessible by non-expert users, decision-makers from the general population can benefit greatly from using FinVis in practical applications. We quantify the value of FinVis using experimental economics methods and find that subjects using the FinVis software make better financial portfolio decisions as compared to subjects using a tabular version with the same information. We also find that FinVis engages the user, which results in greater exploration of the dataset and increased learning as compared to a tabular display. Further, participants using FinVis reported increased confidence in financial decision-making and noted that they were likely to use this tool in practical application.
Keywords :
data visualisation; decision making; financial management; investment; FinVis software; applied visual analytics tool; financial data; financial decision-making; inter-temporal data; personal financial planning; portfolio diversification; Application software; Data analysis; Decision making; Displays; Finance; Financial management; Instruments; Investments; Portfolios; Visual analytics; Casual Information Visualization; economic decision-making; personal finance; visual analytics; visualization of risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
978-1-4244-5283-5
Type :
conf
DOI :
10.1109/VAST.2009.5333920
Filename :
5333920
Link To Document :
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