Advanced Topics in Macro and Finance to Deal with Big Data
Alessia Paccagnini, University College Dublin
The big data era is creating a lot of exciting opportunities for new developments in econometrics, economics, and finance. The recent improvements in computer science and the internet are making data collection easier. Meanwhile, the analysis of large data sets poses methodological challenges (for example, high-frequency observations, unstructured data, and new large datasets) where MATLAB® can help and support the researchers. In this talk, explore the recent advancements in macroeconometrics and empirical financial analysis to deal with big data. See how machine learning techniques can be implemented in MATLAB to estimate macro and financial data for horserace forecasting and structural analysis.
Published: 7 Oct 2021
Featured Product
Financial Toolbox
Up Next:
Related Videos:
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)