###### Cointegration

Consider a time series of the inflation rate \((\text{y}_{\text{t}})\) regressed on a time... **Read More**

*-h. Describe different functional forms of simple linear regressions;*

*-b. Explain the types of heteroskedasticity and how it affects statistical inference;*

*-c. Explain serial correlation and how it affects statistical inference;*

*-d. Explain multicollinearity and how it affects regression analysis;*

*-a. Describe Influence analysis and methods of detecting influential data points;*

*-c. Formulate and interpret a logistic regression model;*

*-f. Explain mean reversion and calculate a mean-reverting level;*

*-h. Explain the instability of coefficients of time-series models;*

*-a. Describe supervised machine learning, unsupervised machine learning, and deep learning;*

*-b. Describe overfitting and identify methods of addressing it;*

*-e. Describe neural networks, deep learning nets, and reinforcement learning;*

*-a. Identify and explain steps in a data analysis project;*

*-b. Describe objectives, steps, and examples of preparing and wrangling data;*

*-c. Describe objectives, methods, and examples of data exploration;*

*-d. Describe objectives, steps, and techniques in model training;*

*-e. Describe preparing, wrangling, and exploring text-based data for financial forecasting;*

*-f. Describe methods for extracting, selecting and engineering features from textual data;*