collaborators

10 papers

q-fin.PM2026

Portfolio Optimization under Heavy Tails and Asymmetric Volatility: Evidence from Taiwan-Exposed ETFs

Ting-Jung Lee, Abootaleb Shirvani, Farzana Afroz +2

Taiwan's central role in global semiconductor manufacturing exposes Taiwan-related ETFs to technology concentration, geopolitical uncertainty, and supply-chain disruptions, resulti…

q-fin.PM2026

Portfolio Optimization and Tail-Risk Analytics of Actively Managed ETFs

William W. Lamptey, Nicholas Appiah, Abootaleb Shirvani +3

This paper examines portfolio optimization and tail-risk analytics for a heterogeneous universe of actively managed investment funds. Using daily Bloomberg data for 30 funds from 4…

q-fin.PR2026

Option Pricing under Stochastic Volatility and Jumps:A PIDE Framework with Empirical Evidence

Abigail Anokyewaa Mensah, Ayush Jha, Hongwei Mei +3

We develop a partial integro-differential equation (PIDE) framework for option pricing under joint stochastic volatility and jump dynamics, and evaluate its empirical content using…

q-fin.RM2026

Measuring Strategy-Decay Risk: Minimum Regime Performance and the Durability of Systematic Investing

Nolan Alexander, Frank Fabozzi

Systematic investment strategies are exposed to a subtle but pervasive vulnerability: the progressive erosion of their effectiveness as market regimes change. Traditional risk meas…

q-fin.MF2025

Probability Weighting Meets Heavy Tails: An Econometric Framework for Behavioral Asset Pricing

Akash Deep, Svetlozar T. Rachev, Frank J. Fabozzi

We develop an econometric framework integrating heavy-tailed Student's distributions with behavioral probability weighting while preserving infinite divisibility. Using 432{,}7…

q-fin.CP2025

Binary Tree Option Pricing Under Market Microstructure Effects: A Random Forest Approach

Akash Deep, Chris Monico, W. Brent Lindquist +2

We propose a machine learning-based extension of the classical binomial option pricing model that incorporates key market microstructure effects. Traditional models assume friction…