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E. Pindza

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Open access Oct 2026

Lie Symmetry Methods for Time-Fractional Option Pricing: Similarity Reductions, Mittag–Leffler Propagators, and Rough-Volatility Diagnostics

We formulate a dimensionally consistent time-fractional Black–Scholes model through inverse-stable subordination. A product pricing measure fixes the clock law and operational numeraire, while clock risk remains unspanned. The physical memory intensity is κα=t01-α\documentclass[12pt]{minimal} \usepackage{amsmath} \usep...

B. F. Nteumagné, E. Pindza, E. Maré · 0 citations
Open access Aug 2026

Centralized–decentralized exchange funding rate arbitrage as a basis trade: risk decomposition, stress testing, and portfolio construction under venue uncertainty

Funding rate arbitrage between centralized and decentralized cryptocurrency exchanges is often described as a low-risk carry strategy, but this description is incomplete because the trade can fail through funding-spread compression, imperfect cross-venue hedging, execution frictions, forced liquidation, and settlement...

E. Pindza · 0 citations
Open access Aug 2026

American options under tempered space-fractional diffusion: Riesz scaling, risk-neutral pricing, and exercise boundary analysis

Pure stable log-price models with stability index γ < 2 have no finite positive exponential moment and therefore cannot be used directly as risk-neutral exponential stock models. This paper reformulates the space-fractional American put problem under a symmetric tempered-stable log-price process, whose finite moment...

E. Pindza, B. F. Nteumagné, E. Maré · 0 citations
Open access Sep 2026

Contagion Dynamics in Multi-Asset Cryptocurrency Markets: A Hawkes Process and DCC-GARCH Framework

Existing studies of cryptocurrency contagion typically analyse either event-driven shock propagation or time-varying correlations in isolation and often focus on small asset panels. This paper integrates univariate Hawkes intensity estimation, a pairwise cross-excitation layer, and a scalar DCC-GARCH model for twen...

E. Pindza, J. Mba · 1 citation
Open access Aug 2026

Delayed Marks, Funding Memory, and Forecasting Liquidation-Tail Risk in Crypto Perpetual Futures

Crypto perpetual futures embed liquidation risk in one chain: leverage and funding move the margin boundary, the mark determines when a crossing is observed, and executable depth determines the concession paid after detection. The primary forecasting question is how to quantify both the probability of an isolated-margi...

E. Pindza, H. Mashele · 0 citations
Open access Aug 2026

A Fractional-Rough Liquidity Model for Bitcoin Options: Implied-Volatility Asymptotics and Market Evidence

Bitcoin option prices reflect terminal variance and the cost of managing convex exposure in a market with changing depth and execution quality. This paper asks whether a liquidity state can be separated from fractional rough volatility in Bitcoin option valuation. The contribution is a modelling combination: standard s...

E. Pindza, H. Mashele · 0 citations

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