Technology integration in the field of finance has been increased recently leading to have FinTech as a leader in the worldwide economy, it changed the concept of how financial services work and how financial market members cooperate with risk. As FinTech companies and establishments scale rapidly and accept agile, digital-first models, they meet separate exposure to global economic uncertainty, especially from immediate market shifts, political disruptions, and systemic financial hassle. In this work, we investigate in how FinTech equity returns respond to key global risk factors by analyzing dataset from the last decade (2015 – 2025). Several models such as vector autoregression (VAR) has been employed here to captures the dynamic relationships between FinTech performance and three major sources of external volatility: financial shocks, geopolitical risks, and investor sentiment as reflected in market volatility. To optimize the domain, we tested several metrics such as: CBOE Volatility Index (VIX), the Geopolitical Risk Index (GPR), and the Financial Stress Index (FSI). The experimented tests conclude that FinTech equities have quick response to points in market volatility and more importunately to geopolitical events, while financial stress influences return more steadily over time. These reactions become more noticeable during crisis episodes such as the COVID-19 pandemic and periods of regional conflict, reflecting the sector's unique vulnerability to both sentiment-driven and structural uncertainty. High-frequency, long-span data has been used here allowing detailed observation of how shocks clarify and deal with FinTech equity behavior through different horizons of time. In this work, we are aiming to provide new empirical proof that FinTech stocks perform better than traditional financial assets under pressure, and it can offer real-world implications for investors, group managers, and regulatory bodies who are responsible for enhancing resilience and better understand sector-specific risk exposure in the current era where financial environment is very complex.
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Ali Matar
International Journal of Advances in Soft Computing and its Applications
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Ali Matar (Tue,) studied this question.
synapsesocial.com/papers/68a36a560a429f797332f336 — DOI: https://doi.org/10.15849/ijasca.250730.18
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