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SAS Econometrics

Modern Time Series Tools for Scenario Analysis and Portfolio Optimization

Xilong Chen demonstrates how to use two of the many modern time series tools in SAS® Econometrics. Performing scenario analysis using the VARMAX procedure and the HMM procedure are be discussed.

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SAS Econometrics

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Incorporating Auxiliary Information into Your Model Using Bayesian Methods in SAS Econometrics

Incorporating Auxiliary Information into Your Model Using Bayesian Methods in SAS Econometrics

Modern Time Series Tools for Scenario Analysis and Portfolio Optimization

Modern Time Series Tools for Scenario Analysis and Portfolio Optimization

Using SAS Econometrics to Fit Spatial Autoregressive Models

Using SAS Econometrics to Fit Spatial Autoregressive Models

Using SAS Econometrics to Fit Gaussian Hidden Markov Models

Using SAS Econometrics to Fit Gaussian Hidden Markov Models

Using SAS Econometrics to Estimate the Compound Probability Distribution of Insurance Payments

Using SAS Econometrics to Estimate the Compound Probability Distribution of Insurance Payments

Using SAS Viya to Fit Hybrid Models

Using SAS Viya to Fit Hybrid Models

Using SAS Viya to Fit Tobit Regression Models

Using SAS Viya to Fit Tobit Regression Models

Using SAS Viya to Simulate Data

Using SAS Viya to Simulate Data

Using SAS Viya to Fit a Scale Regression Model

Using SAS Viya to Fit a Scale Regression Model

Using SAS Viya to Fit Discrete Count Response Models

Using SAS Viya to Fit Discrete Count Response Models

Currently loaded videos are 1 through 10 of 10 total videos.