A new study shows why traditional valuation ratios like price/dividend and CAPE fail to predict stock returns—and how ...

Abstract: Forecasting stock prices is essential for financial decision-making and investment strategy. This study introduces an automated method for short-term stock price forecasting that uses the ...

The project is end-to-end: automated data ingestion via Azure Functions, a SQL Server feature store, exploratory analysis in Jupyter, machine learning forecasting with XGBoost, and an operational ...

Iowans may feel like the autumn season has been a warm one, but tempertures are finally starting to dip. The second to last week in October is seeing temperatures in the 60s to mid 50s during the day, ...

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In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: The optimal utilization of electrical energy is becoming increasingly necessary due to the rapid growth in the population. Several techniques have been designed to ensure judicious use of ...

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Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...