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:
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
- América Latina (Español)
- Canada (English)
- United States (English)
欧洲
- 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)
亚太
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)