The researcher focuses on developing comprehensive frameworks using advanced statistical methods to model complex financial systems across various domains within social sciences. This involves analyzing volatility, co-movements between markets or assets, systemic risks, stock returns, exchange rates, asset pricing, regional economic structures, IT integration, and corporate governance. The research also examines global financial crises like the US-Mexican crisis, sovereign credit ratings, private equity impacts, and corporate finance policies, aiming to create robust models applicable across regions and industries for understanding risk management, market dynamics, and systemic risks affecting global financial systems.
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