3 citations · 3 across the 3 of their papers we have counts for
3 papers
MACROCAST: A Vintage-Consistent Time Series Foundation Model for Real-Time Macroeconomic Forecasting
Andrea Carriero, Davide Pettenuzzo, Shubhranshu Shekhar
We introduce MACROCAST, a lightweight Time Series Foundation Model (TSFM) for real-time macroeconomic forecasting. Existing TSFMs suffer from data leakage in two forms: temporal co…
Double Descent and Benign Overfitting in Macroeconomic Forecasting
Andrea Carriero, Florian Huber, Davide Pettenuzzo
We study double descent and benign overfitting in macroeconomic forecasting. We document that double-descent risk curves arise in standard macroeconomic datasets that are driven by…
Macroeconomic Forecasting with Large Language Models
Andrea Carriero, Davide Pettenuzzo, Shubhranshu Shekhar
This paper presents a comparative analysis evaluating the accuracy of Large Language Models (LLMs) against traditional macro time series forecasting approaches. In recent times, LL…