The Role of Investor Attention Index in Explaining Bitcoin Volatility

Modeling and forecasting volatility is essential in trading and risk management. Extensive research has been conducted on volatility modeling in traditional financial markets, and recently, attention has increasingly been directed toward cryptocurrency volatility. The standard approach often relies on econometric models. Reference applied the GARCH-MIDAS model to study Bitcoin …

Impact of Artificial Intelligence on Financial Markets: a Quantitative and Qualitative Analysis

Artificial intelligence (AI) has become an integral part of modern finance, transforming how institutions analyze data, manage risk, and execute trades. By leveraging machine learning algorithms and natural language processing, AI systems can identify complex patterns in large financial datasets, forecast market movements, and detect anomalies that might signal fraud …

Return and Variance Risk Premia in the Bitcoin Market

The volatility risk premium (VRP) has been studied extensively in the literature, especially in equities. However, little work has been done in the crypto space. Reference fills this gap by investigating the Bitcoin return premium (BP) and the Bitcoin variance risk premium (BVRP). The authors utilized Bitcoin options data …

The Volatility Risk Premium Around Macroeconomic Announcements

Markets are typically volatile, and price movements accelerate during macroeconomic announcements. We have discussed the macroeconomic announcement premium and the related beta arbitrage strategy. Along this line of research, Reference examined the returns of delta-neutral straddles around macroeconomic announcements. By analyzing these returns, one can draw conclusions about the …