Risk

Machine learning in oil market volatility forecasting: the role of feature selection and forecast horizon

In this paper we investigate oil market volatility prediction using a comprehensive data set of 205 variables spanning ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer ...
Frontiers

Hybrid Hydroinformatics: Integrating Machine Learning and Process-Based Modeling for Climate-Resilient Water Systems

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
NetIndia123

CEP IIT Delhi Launches Applied AI, Machine Learning and Decision Science Programme to Help Professionals Move Beyond Models to Business Impact

Artificial intelligence has become one of the most sought-after skills in the modern workforce. Organisations across industries are investing heavily in AI, machine learning, automation, and ...