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Explores discrete panel data, covering static and dynamic models with panel effects and their practical implications.
Explores the panel effect model with fixed and random effects, discussing estimation challenges and the impact of serial correlation.
Covers the basics of linear regression, including OLS, heteroskedasticity, autocorrelation, instrumental variables, Maximum Likelihood Estimation, time series analysis, and practical advice.
Explores portfolio rate of return, valuation, risk characterization, and historical performance, emphasizing diversification benefits and mean-variance analysis.
