Machine learning in macro
There are buzzwords and there are buzzwords. The buzziest (if that indeed is a word) of buzzwords in technology is that of machine learning, whether it's using machine learning to improve image recognition
Within finance, discussions on machine learning have increased too. There has for example been the publication many books on the subject such as Machine Learning in Finance by Dixon, Halperin and Bilokon. At most quant conferences, it is notable how machine learning has become a more important part of the discussion, and how it appears in many different contexts, whether it is in analysis of market microstructure
Macro has perhaps been slightly slower to look at machine learning compared with other areas of finance. Although, this does appear to be changing. Indeed, I recently attended an advanced analytics conference organised by the Bank of England on macroeconomic policy, where machine learning featured in most of the presentations and posters presented, ranging from forecasting to discerning signals from alternative datasets compromising of text, video etc. At Turnleaf Analtyics, which Alexander Denev and I recently cofounded to forecast inflation, we are also using machine learning.
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In macro, the relationships between variables may not always be linear. Hence trying to use machine learning models can be attractive when doing macro forecasting
Escritor Colaborador en Investing.com./ Python Mql4- Trader Algorítmico y posicional
2 年Good job!