… Section 2.1 introduces the FCI-based macro model and the baseline model against which it
… financial market coverage such that they improve the forecasting capacity of macro models …

… financial variables conventionally used in macro models. Both aims are shown to be …
once an algorithmic modelling route is adopted to combine leading indicator modelling with …

… Section 2.1 introduces the FCI-based macro model and the baseline model against which it
… financial market coverage such that they improve the forecasting capacity of macro models …

… Finally, we look at algorithmic prediction as a form of societal … with instability and chaos at
the macro level, but the success … is only a patchwork of various pilot projects, but it is scheduled …

… with the Global Viral Forecasting Initiative concerned with … agent-based models with
experimental micro and macro data … up the development of our algorithmic trading systems. The …

… methods adapted to particular macro-conditions. In addition, … of Large Language Model
Applications, as a co-pilot into the … on the algorithmic perspective with a wide range of models, …

… observed 8 financial markets used in building predictive models. … Algorithmic trading is any
trading that uses complex … on the application of AI in finance and financial markets present …

… forecasting, or the future of a country's economy at the macro … some of the reasons for using
judgement in forecasting [42]. … as axiom-based decompositions, algorithmic decomposition, …

… to the text, suggesting less algorithmic bias (p < 0.05). Our … Macro-F1 was measured using
our manually validated … to discrepant prediction for any SDoH mention fine-tuned model (14.4…

… of specialized tools tailored for macro systems and scale up. … computationally exhaustive
and algorithmically very costly … to develop data-driven models for model predictive control of a …