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.
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