Рет қаралды 1,013
#timeseriesanalysis #quantitativefinance #riskmanagement #forecasting #economics
Cointegration is used to understand long term relationship between multiple time series. Two time series are said to be cointegrated if they are both integrated of the same order, and there exists a linear combination of them that is stationary. Consider two non-stationary time series, for example, the price of two different stocks over time. Although both series may be trending upwards or downwards, they may still be related in a way that suggests a long-term equilibrium relationship
Join this channel to get access to perks:
/ @analyticsuniversity
#finance #machinelearning #datascience
For courses on Credit risk modelling, Market Risk Analytics, Marketing Analytics, Supply chain Analytics and Data Science/ML projects contact analyticsuniversity@gmail.com
For Study Packs : analyticunivers...
Coursera : imp.i384100.ne...
DataCamp: datacamp.pxf.i...
Skillshare: skillshare.eqc...
Coursera :
Data Science : bit.ly/37nABr6
Data Science Python : bit.ly/2ZK5oMm
Recommended Data Science Books on Amazon :
Python for Data Science: geni.us/Python...
R for Data Science : geni.us/DataSc...
Machine Learning using Tensorflow: geni.us/MLinTe...
Data Science from Scratch: geni.us/DataSc...
Python programming: geni.us/LearnP...
Artificial Inteligence: geni.us/LearnAI
Data Vizualization : geni.us/DataViz