finance

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 4: Single Equation Models of Multiple Time Series ARDL and ECM. 1. Derive the ECM representation of the following ARDL(1,1,2) model: ct =δ+θ1ct−1 +γ0at +γ1at−1 +λ0yt +λ1yt−1 +λ2yt−2 +εt Which parameter(s) in the resulting ECM are long-run multiplier(s) and adjust- ment parameter(s)? 2. The file wealth.csv […]

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance C ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 10: VAR Models – II We continue with the data file money dem.csv we were using last week. • RGDP: real US GDP; • GDP: nominal GDP; • M2: Money supply; • Tb3mo: Three-month rate on US Treasury Bills. Load the data in Stata and generate

程序代写代做代考 finance C ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance GMM Excel kernel graph ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Eric Eisenstat The University of Queensland Tutorial 1: Introduction to Stata Eric Eisenstat (School of Economics) ECON3350/7350 Week 1 1 / 24 What Makes Stata Popular? Stata is a powerful statistical package for applied economics. straightforward commands and simple syntax easy to code programs and record results

程序代写代做代考 finance GMM Excel kernel graph ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 11: Cointegration – The Multiple Equation Case The data file term structure.csv contains data of a system of four Australian in- terest rates: the 5 year (i5y) and 3 year (i3y) Treasury Bond (capital market) rates, along with the 180 day (i180d) and 90 (i90d) day

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 2: Univariate Time Series – I This tutorial aims to get you familiar with the fundamental features of univariate time series models. 1. Derive the expected value, variance, covariance, autocorrelation function (ACF), and partial autocorrelation function (PACF) for the time series yt having the fol- lowing

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance ECON3350/7350 Volatility Models – II

ECON3350/7350 Volatility Models – II Eric Eisenstat The University of Queensland Lecture 8 Eric Eisenstat (School of Economics) ECON3350/7350 Week 9 1 / 25 Volatility Modeling Extensions Recommended readings Author Title Chapter Call No Enders Brooks Verbeek Applied Econometric Time Series, 4e Introductory Econo- metrics for Finance, 3e A Guide to Modern Econometrics 3 9

程序代写代做代考 finance ECON3350/7350 Volatility Models – II Read More »

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 9: VAR Models – I The data file money dem.csv contains quarterly observations for the following vari- ables from 1959Q1 to 2001Q1 • RGDP: real US GDP • GDP: nominal GDP • M2: Money supply • Tb3mo: Three-month rate on US Treasury Bills Load the data

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Final Exam Review 1 Overview The 􏱃nal exam is comprehensive and you may expect any topic that was covered either in lecture, tutorials or this review to be assessed. However, there will be no other material on the exam (e.g. anything that is covered in the text

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »

程序代写代做代考 finance ECON3350/7350 VAR Models – I

ECON3350/7350 VAR Models – I Eric Eisenstat The University of Queensland Lecture 9 Eric Eisenstat (School of Economics) ECON3350/7350 Week 10 1 / 23 VAR Models Recommended readings Author Title Chapter Call No Enders Brooks Verbeek Applied Econometric Time Series, 4e Introductory Econo- metrics for Finance, 3e A Guide to Modern Econometrics 5 7 9.1,

程序代写代做代考 finance ECON3350/7350 VAR Models – I Read More »

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance

ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Tutorial 5: Deterministic and Stochastic Trends The specification for a general ARIMA(p, d, q) model is pq ∆dyt =􏰁πi∆dyt−i +􏰁αjεt +δt i=1 j=0 where α0 = 1. • If you decide there is a constant only then δt = a0 • If you decide there is a

程序代写代做代考 finance ECON 3350/7350: Applied Econometrics for Macroeconomics and Finance Read More »