Using Alternative Date to Predict Key Performance Indicators

38 Pages Posted: 5 May 2020

See all articles by Chuyang Lin

Chuyang Lin

Cornell University - Cornell University

Yiwei Huang

Cornell University - Cornell University

Yibing Tan

Cornell University - Cornell University

Xiaocun Lu

Cornell University - Cornell University

Yujie Zhou

Cornell University - Cornell University

Yifei Liu

Cornell University - Cornell University

Paul Wescott

Cornell University - Cornell University

Sasha Stoikov

Cornell Financial Engineering Manhattan

Date Written: February 6, 2020

Abstract

The integration of robust data analysis into the financial markets has allowed firms to develop more efficient and accurate algorithms for predicting the behavior of individual firms. This analysis has been most effective with large and comprehensive data sets. However, the ease of integration for these types of data sets has led to their widespread adoption has diminished their usefulness in the financial markets. The most valuable data then exists in forms that are difficult to use and have not been used by the majority of the firms in the market. The purpose of this project is to integrate foot traffic data from individual stores into a quantitative and fundamental framework for predicting the values of significant KPIs for public firms.

Keywords: Clustering, Correlations, Foot Traffic, Key Predictive Indicators, Quantitative Analysis, Fundamental Analysis, Weather Data

JEL Classification: C80, G10, G12

Suggested Citation

Lin, Chuyang and Huang, Yiwei and Tan, Yibing and Lu, Xiaocun and Zhou, Yujie and Liu, Yifei and Wescott, Paul and Stoikov, Sasha, Using Alternative Date to Predict Key Performance Indicators (February 6, 2020). Available at SSRN: https://ssrn.com/abstract=3533358 or http://dx.doi.org/10.2139/ssrn.3533358

Chuyang Lin

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Yiwei Huang

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Yibing Tan

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Xiaocun Lu

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Yujie Zhou

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Yifei Liu

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Paul Wescott

Cornell University - Cornell University ( email )

Ithaca, NY
United States

Sasha Stoikov (Contact Author)

Cornell Financial Engineering Manhattan ( email )

2 W Loop Rd
New York, NY New York 10044
United States

HOME PAGE: http://www.sashastoikov.com

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