collaborators

7 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.PM2026

Portfolio Optimization for Commodity ETFs under Heavy-Tailed Returns

Nicholas Appiah, Ali Jaffri, Dilmi C. W. Hettiachchi-Halpe-Kankanamalage +1

This paper examines portfolio optimization for commodity exchange-traded funds (ETFs) under heavy-tailed return behavior. Using daily Bloomberg data for 30 U.S.-listed commodity ET…

q-fin.MF2026

Innovative Extensions to Option Pricing: Asymmetric Brownian Motion and Random Walk Approaches

Jagdish Gnawali, Abootaleb Shirvani, Dilmi C. W. Hettiachchi-Halpe-Kankanamalage +3

Classical option pricing models, such as Bachelier and Black--Scholes--Merton, postulate symmetric Brownian diffusion, which limits their capacity to reflect empirical phenomena in…

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.ST2026

Memory, Roughness, and Information Persistence in Financial Markets: A Structural Approach to Volatility Forecasting

Akash Deep, Nicholas Appiah, Svetlozar T. Rachev

This paper studies the joint role of long-memory dynamics,rough-volatility behavior, and persistence-based forecasting features in equity volatility modeling. We combine semiparame…