This is an advanced lecture/seminar course covers basic univariate and multivariate models and methods used to analyze
nancial and economic time series data and panel time series data. Topics include: classic linear models; serial dependence, autocorrelation in error variances (ARCH, GARCH); methods that allow for nonlinearity, tail dependence, comovements, conditional value at risk, fat-tails, nonstationarity; vector autoregressive models; factor models; Markov switching, latent factors, measurement errors, stochastic
volatility; empirical asset pricing models. The aim of the course is to help students to write their senior essays and to start their own research in economics and nance.
Prerequisites: ECON 117 and 123, or ECON 135 and 136.