Stochastic volatility models have revolutionised the field of option pricing by allowing the volatility of an asset to vary randomly over time rather than remain constant. These models have ...

Affine processes provide a versatile framework for modelling complex financial phenomena, ranging from interest rate dynamics to credit risk and beyond. Their defining characteristic is the affine, or ...

Volatility forecasting is a key component of modern finance, used in asset allocation, risk management, and options pricing. Investors and traders rely on precise volatility models to optimize ...

Volatility modeling is no longer just about pricing derivatives—it's the foundation for modern trading strategies, hedging precision, and portfolio optimization. Whether you're trading gold futures, ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...

Wu, R. , Zhuang, L. and He, M. (2026) Economic Policy Uncertainty and Gold Futures Volatility: A GARCH-MIDAS Approach. Open Journal of Business and Management, 14, 1303-1315. doi: ...

The Iran war is fueling stock market volatility, but there are two other underlying forces Goldman says will keep volatility ...

Token distribution models shape crypto markets via supply unlocks, vesting, and ownership structure, driving volatility and price cycles.

If you’re a keen follower of the updates in the financial markets these days, especially crypto, you’ve likely seen or heard a lot about the ongoing conversations around volatility, liquidity and the ...