collaborators

6 papers

q-fin.MF2025

Randomized Kolmogorov-Smirnov Analysis of Volatility Roughness

Sergio Bianchi, Daniele Angelini

We introduce a novel distribution-based estimator for the Hurst parameter of log-volatility, leveraging the Kolmogorov-Smirnov statistic to assess the scaling behavior of entire di…

q-fin.MF2025

Fair Volatility: A Framework for Reconceptualizing Financial Risk

Sergio Bianchi, Daniele Angelini

Volatility is the canonical measure of financial risk, a role largely inherited from Modern Portfolio Theory. Yet, its universality rests on restrictive efficiency assumptions that…

q-fin.GN2025

From fair price to fair volatility: Towards an Efficiency-Consistent Definition of Financial Risk

Sergio Bianchi, Daniele Angelini, Massimiliano Frezza +1

Volatility, as a primary indicator of financial risk, forms the foundation of classical frameworks such as Markowitz's Portfolio Theory and the Efficient Market Hypothesis (EMH). H…

stat.ME2025

Kolmogorov-Smirnov Estimation of Self-Similarity in Long-Range Dependent Fractional Processes

Daniele Angelini, Sergio Bianchi

This paper investigates the estimation of the self-similarity parameter in fractional processes. We re-examine the Kolmogorov-Smirnov (KS) test as a distribution-based method for a…

q-fin.CP2025

Integrating the implied regularity into implied volatility models: A study on free arbitrage model

Daniele Angelini, Fabrizio Di Sciorio

Implied volatility IV is a key metric in financial markets, reflecting market expectations of future price fluctuations. Research has explored IV's relationship with moneyness, foc…

q-fin.MF2024

Market information of the fractional stochastic regularity model

Daniele Angelini, Matthieu Garcin

The Fractional Stochastic Regularity Model (FSRM) is an extension of Black-Scholes model describing the multifractal nature of prices. It is based on a multifractional process with…