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 ...

Today, I want to start by looking at the behavior of volatility itself in a specific financial market, the S&P index futures.

Business news can do more than report on financial markets; it can predict where they're headed. That's the finding from a new study by University of Auckland finance lecturer Dr. Justin J. Case and ...

Stochastic volatility models provide a framework in which the variability of asset returns is itself a random process, addressing empirical features such as volatility clustering, leverage effects and ...

The Black-Scholes-Merton (BSM) model makes a volatility assumption that is a far cry from how the real-world volatility behaves. This week, we compare the characteristics of the model’s volatility ...

The option pricing methods surveyed so far in this chapter can be derived from well-defined assumptions about the underlying dynamics of the economy. The next approach to European option pricing we ...

The ability to compute exotic greeks is important in explaining profit and loss statements, but what is the best way to calculate them effectively? In a virtual talk for the Bloomberg Quant (BBQ) ...

In today's rapidly changing economic landscape, resilience has become a cornerstone for businesses aiming to thrive amid volatility. I have found that the ability to quickly adapt to market changes, ...

Volmex Finance lists BVIV perpetual futures on Hyperliquid, creating the first onchain market for Bitcoin implied volatility ...

Volatility is a measure of risk that is the statistical quantification of a security's possible investment returns. In short, it means large swings in price over a short period of time. Volatility in ...