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Financial Time Series Analysis in R
Lessons
Financial Time Series Data
Exploring Time Series Data in R
Plotting Time Series in R
Handling Missing Values in Time Series
Creating a Time Series Object in R
Check if an object is a time series object in R
Plotting Financial Time Series Data (Multiple Columns) in R
Characteristics of Time Series
Stationary Process in Time Series
Transforming a Series to Stationary
Time Series Transformation in R
Differencing and Log Transformation
Autocorrelation in R
Time Series Models
ARIMA Modeling
Simulate White Noise (WN) in R
Simulate Random Walk (RW) in R
AutoRegressive (AR) Model in R
Estimating AutoRegressive (AR) Model in R
Forecasting with AutoRegressive (AR) Model in R
Moving Average (MA) Model in R
Estimating Moving Average (MA) Model in R
ARIMA Modelling in R
ARIMA Modelling – Identify Model for a Time Series
Forecasting with ARIMA Modeling in R – Case Study
Automatic Identification of Model Using auto.arima() Function in R
Financial Time Series in R – Course Conclusion
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