Our web based Regime Switching models with EViews course provides a complete introduction to modelling and forecasting Regime Switching models in EViews.
- Date
- Country
- Software
- Level
- Location
- All
- Cass Business School
- Cass Business School, Bunhill Row, London EC1Y 8TZ
- CEMAPRE (ISEG), Lisbon
- Dublin, Ireland
- Faculty of Economics - University of Porto - CEF.UP
- FIPE – Avenida Paulista, 1499 – 4º andar (Bela Vista – São Paulo/SP)
- Frankfurt am Main
- New Horizons, Computer Learning Centre, New York City, USA
- Nuffield College, University of Oxford
- Online
- São Paolo, Brazil
- Sofitel, Downtown Dubai
- University of Cambridge
- Warsaw University, Department of Economics, ul.Długa 44/50, Warszawa
- Topic/Type
- All
- Automation
- Autumn School
- Big Data
- Casual Analysis
- Data Management
- Data visualization
- Econometrics
- Factor Models
- Finance
- Forecasting
- Machine Learning
- Macroeconomics
- Medical statistics
- Microeconometrics
- Microeconomics
- Mixed Frequency
- Outputs and results
- Panel Data
- Policy analysis
- Programming
- Statistics
- Summer School
- Time series
- Various methods
- Winter School
- Duration
Courses
Stata Programming & Managing Large Datasets (EST)
The course focuses on practical programming needs arising when dealing with large datasets, multiple data sources and the programming tools which may help in routinising complex tasks and automating pieces of your work.
Stata Programming Workshop
Stata programming is an opportunity for graduate students, academics, researchers and professionals to expand their knowledge of Stata. This 3-day course introduces programming skills to those who have never written a program in Stata
Modelling & Forecasting Market Risk with OxMetrics & XlModeler (Excel add-in)
The following topics will be described in the course: the ARCH model and some of its most important extensions like leverage effect, Generalized Autoregressive Scores, multivariate GARCH models, value-at-risk forecasting, back-testing, etc. Lectures will be illustrated by empirical forecasting exercises using OxMetrics and the XLModeller, a new add-in for Excel that allows to estimate sophisticated models in Excel.
MIDAS Models with EViews (Online Course)
Our web based MIDAS Models with EViews course provides a complete introduction to mixed data sampling (MIDAS) regression models in EViews. MIDAS are used in macroeconomic and financial modelling and forecasting.
MIDAS Models with EViews (Online Course - MENA Time)
Our web based MIDAS Models with EViews course provides a complete introduction to mixed data sampling (MIDAS) regression models in EViews. MIDAS are used in macroeconomic and financial modelling and forecasting.
Stata for Publications
This course provides basic concepts of data management and how to do it efficiently using Stata. We provide several examples and use learning by doing techniques. The course focuses on available Stata commands and additional resources provided by the Stata-users community.
2019 Stata Autumn School, London
Our Stata Autumn School comprises a series of six individual Stata courses that provides attendees with the flexibility to register only the courses that they find most relevant to their research interests. The individual courses will cover:
Bayesian Analysis / Multivariate Analysis / Longitudinal data / Missing data / Network meta-Analysis / Structural Equation Modelling.
Modelling and Forecasting Mixed Frequency Data with EViews
The aim of this training is to introduce the modelling and forecasting with mixed frequency models.
Business Forecasting with EViews: A Practical Course for Business, Economic and Financial Forecasters
The aim of this workshop is to give delegates a practical understanding of the main statistical forecasting tools that are available to support marketing, production, supply chain, and financial decision making.
Regime Switching Models with EViews (Online Course)
Our web based Regime Switching models with EViews course provides a complete introduction to modelling and forecasting Regime Switching models in EViews.