Predicting ETF prices using linear regression Article Swipe
Related Concepts
Simple linear regression
Vanguard
Linear regression
Closing (real estate)
Regression
Econometrics
Simple (philosophy)
Data set
Regression analysis
Computer science
Set (abstract data type)
Proper linear model
Polynomial regression
Statistics
Artificial intelligence
Mathematics
Economics
Machine learning
Finance
Geography
Archaeology
Philosophy
Programming language
Epistemology
Keqing Li
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.54691/bcpbm.v36i.3381
· OA: W4352990935
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.54691/bcpbm.v36i.3381
· OA: W4352990935
Machine learning has allowed computers to analyze data and make future predictions based on those dates. One of the most common and easiest to implement machine learning algorithms used to do this is simple linear regression. Simple linear regression finds trends in a data set by graphing a line that shows the relationship between two variables. This paper will show how Simple linear regression can predict future ETF prices by finding linear trends in two particular exchange-traded funds: Invesco QQQ and vanguard VGT, predict their value six months later using their five-year closing price in yahoo finance and compare their respective predicted growth rate.
Related Topics
Finding more related topics…