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Big Data and Firm Risk

Author(s)
Paine, Fiona
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Advisor
Palmer, Christopher
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In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/
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Abstract
This paper investigates the impact of firm data collection and analysis of collected data on the riskiness of firm cash flows. I use a scraped data set of the third party resources loaded on firms’ websites as a measure of firm data collection and analysis practices. I find that firm use of less effective web analytics is associated with an increase in the variance of sales, inventory, and both fixed and variable costs. This effect is despite a lack of change in the level of these variables. Looking at the effect of treatment on the treated, there is higher profit and sales variance during times of higher uncertainty. I use differences in web analytics technology and a change in their relative effectiveness as my identification strategy. As a case study of a large negative demand shock, I look at differences in firm reactions to COVID-19 based on their web analytics usage.
Date issued
2022-05
URI
https://hdl.handle.net/1721.1/145178
Department
Sloan School of Management
Publisher
Massachusetts Institute of Technology

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