Andre lucas Samenvattingen, Aantekeningen en Examens

Here are the exercises from Chapter 3 and 4 together with their solutions.

Summary of the 1st lecture, week 1. It includes explanations of the Dummy variables and interactions, visualisation of interaction effects, R-squared, Adjusted R-Square, Multicollinearity, interpretation of the entire Stata table, interpretation of the sign of the coefficients, p-values, t-values, and standard errors, Root MSE, and the F-test. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps al...

Here are the exercises from Chapter 12 together with the solutions.

Here are the notes from the ARMA Model Lab session. The document includes all the steps with the explanation attached. There are 8 steps. 1 - Looking to the data, 2 - Looking at the autocorrelation plot, 3 - Estimate ARMA models, 4 - Construct residuals and check if there is autocorrelation, 5 - Construct the fit of the model with the test for homoscedasticity and the log of the VIX, 6 - Forecasting, 7 - Checking the forecast model with explanation of unbiasedness, accuracy, and efficiency, 8 -...

Summary of the 2nd lecture, week 1. It includes explanation of the logit model with an empirical example, estimation of the model, and how to build a ROC curve step by step as provided by the teacher in class. Also the interpretation of the coefficients is provided. This summary helps you go through material without watching again the lengthy web-lectures. I practically wrote down everything what he said. It helps also if you did not watch the weblecture, because you can find here everything wha...