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Estimating Mediterranean Cyclone Activity via Explainable Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso +5 more
wiley +1 more source

Adaptive expectations and reaction to information

Economica, Volume 93, Issue 370, Page 488-523, April 2026.
Abstract This paper develops a model combining adaptive expectations with noisy signals, and derives three coefficients and one impulse response function (IRF): the Coibion–Gorodnichenko (CG) coefficient capturing consensus under‐reaction to information, the Bordalo–Gennaioli–Ma–Shleifer coefficient capturing individual over‐reaction, the Kohlhas ...
Junyi Liao
wiley +1 more source

The Monetary Policy–Commodities Nexus: A Survey

Journal of Economic Surveys, Volume 40, Issue 2, Page 1050-1082, April 2026.
ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl, Niklas Humann, Pierre L. Siklos +2 more
wiley +1 more source

Recursiveness in Hilbert spaces and application to mixed ARMA(p, q) process [PDF]