Ari, YakupKurt, HakanUcak, Harun2026-01-242026-01-2420252227-7390https://doi.org/10.3390/math13081256https://hdl.handle.net/20.500.12868/4774This study aims to reveal the network connectedness between the volatilities of Emerging and Growth-Leading Economies (EAGLEs) stock exchanges with the frequency-based TVP-VAR connectedness approach. Connectedness results were obtained in short (1-5 days) and long (5-inf) period frequencies among the volatilities obtained with the Garman-Klass volatility estimator. According to the dynamic TCI results, connectivity peaked during the COVID-19 and Russia-Ukraine War periods. BVSP is the most dominant transmitter of the network and spreads the most effect to the emerging markets. As a result of the pairwise metrics, SSE has the lowest values and is positioned as a relatively independent market in the network. In particular, SSE has almost no connection with BIST in the short term, while it has a more significant effect on BIST in the long term. Moreover, the connectedness metrics show that MOEX is in a neutral position in the network and is largely affected by its internal dynamics.eninfo:eu-repo/semantics/openAccessEAGLEs countriesfrequency connectednesspairwise connectednessportfolio diversificationTVP-VAR70-1076-10Article10.3390/math130812561382-s2.0-105003674088Q1WOS:001475298600001Q1