We examine whether aggregate "music mood" derived from globally popular songs can help forecast primary equity issuance. We build a Friday-anchored weekly panel that merges SEC EDGAR counts of priced Initial Public Offerings (IPOs) with features from the Spotify Daily Top 200 (audio descriptors...

In the automotive sector, vehicle data gathered through On-board Diagnostics (OBD) systems offers continuous insights into vehicle health status and performance. Leveraging this data for predictive maintenance can significantly reduce unplanned failures, enhance safety, and extend vehicle...

The study benchmarks four machine-learning algorithms- Random Forest, XGBoost, CatBoost and Long Short-Term Memory (LSTM) networks-for forecasting stock market liquidity in Germany's DAX equity market. Using data from January 2006 to May 2025, a Liquidity Score is constructed as a...

This study explores the dynamic relationship between the parameters of the yield curve, macrofinancial variables, and the USD/TRY exchange rate in Türkiye, with a particular focus on the period following the steep 2018 currency depreciation. Using the Nelson-Siegel model, we examine the...