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...

This paper introduces Bai-Perron structural break detection combined with negative binomial regression to model overdispersed U.S. IPO count data. Using monthly data from 1995 to 2024, we identify five breaks that partition IPO activity into six distinct regimes, each with fundamentally...

Using Wine Spectator's Top 100 lists for 1988-2025, this note applies Bai-Perron structural break tests to regional and country shares and identifies three distinct periods: 1988-1997, 1998-2015, and 2016-2025. Real prices decline across phases, with the sharpest drop in the most recent period,...

Histogram forecasts of inflation and growth from the US Survey of Professional Forecasters (SPF) allow for an assessment of the evolution of forecast uncertainty. However, this assessment is complicated by structural breaks in measured uncertainty arising from changes in histogram bin widths...

This study investigates the dynamics of Bitcoin's realized volatility by extending the Heterogeneous Autoregressive (HAR) framework to incorporate external shocks from major financial and commodity markets, namely the NASDAQ-100, Brent crude oil, and gold. To capture potential asymmetries,...

We apply rolling-window econometric methods, including GARCH(1,1) estimation, Bai-Perron structural break detection, CUSUM stability testing, and Granger causality analysis in bivariate VAR frameworks, to analyze the temporal dynamics of market integration in cryptocurrency perpetual futures,...