Differential Volatility Responses to Infrastructure and Regulatory Events in Cryptocurrency Markets: A TARCH-X Analysis with Sentiment Decomposition
A comprehensive analysis of differential volatility impacts between infrastructure and regulatory events on major cryptocurrencies using GARCH models with sentiment controls. This research examines how different event types affect cryptocurrency market volatility using a dataset of 50 classified events (27 Infrastructure, 23 Regulatory) from 2019-2025.
Advanced econometric models are applied to quantify and compare event impacts on six major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Binance Coin (BNB), Litecoin (LTC), and Cardano (ADA). The analysis employs TARCH-X models with sentiment decomposition to isolate the differential effects of infrastructure versus regulatory shocks on volatility dynamics.
A review of AML regulations and its efficacies in a technologically developing financial environment
This dissertation critically examines the effectiveness and adaptability of anti-money laundering (AML) policies in a rapidly evolving global landscape, underscored by advanced technological integrations and increasing interconnectedness across financial systems. The study traces the evolution of money laundering from its early 20th-century origins to today's sophisticated schemes exploiting digital and financial technologies, evaluating how current AML frameworks mitigate financial crimes while proposing enhancements to regulatory mechanisms.