This study examines the dynamics of economic freedom in nine advanced democracies in comparison to China over the 1970-2022 period. Using data from the Fraser Institute and the Manifesto Project Database, we apply a Bayesian time-series methodology to identify three key patterns. First, economic...

This study examines the role of volatility mean reversion in option pricing and evaluates the performance of commonly used volatility estimators within a broad market context. Using a comprehensive dataset of end-of-day option chains for the 100 most actively traded U.S. equities from 2018 to...

This paper examines long-run linkages and possible instabilities in the gold–silver price relationship using daily futures prices over the period from 4 January 2010 to 28 November 2025. The empirical analysis includes unit-root and cointegration tests as well as endogenous structural break...

Stock price forecasting remains challenging due to the non-linear, noisy, and non-stationary nature of financial time series. Although LSTMs and Transformer-based models have improved sequential modeling, their ability to scale efficiently to long financial sequences remains limited. Recently,...

This study investigates the long-memory properties of the prices of three Kenyan commodities (tea, coffee and horticultural products) by applying fractional integration methods to monthly data spanning the period from August 1998 to December 2024. The empirical results provide evidence of...

This paper examines the impact on crude oil prices of the trade tariffs announced by the Trump administration on 2 April 2025 ("Liberation Day"). More specifically, it uses fractional integration methods to analyse daily data on WTI, Brent and Murban oil prices spanning the period from 3 June...

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...