RESEARCH PROGRAMS

Market Reaction Asymmetry: Infrastructure Disruption Dominance Over Regulatory Uncertainty

Event Study Evidence from Cryptocurrency Volatility

Infrastructure failures generate 5.7× larger volatility shocks than regulatory announcements in cryptocurrency markets (2.385% vs 0.419%, p=0.0008, Cohen's d=2.753). Using TARCH-X models with decomposed GDELT sentiment indices across 50 events (2019-2025) and 6 cryptocurrencies, demonstrates that markets distinguish between mechanical-disruption events and expectation-channel events.

Asymptotic Protection: The Simultaneous Remedy and Poison of Risk Management

Complete hedging is theoretically impossible under incomplete markets (Harrison-Kreps 1979), yet partial hedging extracts systematic rents through necessity taxes—mandatory costs borne by hedgers unable to avoid market microstructure exploitation. Synthesizes theoretical impossibility results with empirical evidence of wealth extraction mechanisms, demonstrating that derivatives markets simultaneously provide protection and transfer wealth from those seeking safety to sophisticated counterparties.

The Hedging Paradox: The Ambiguous Boundary Between Protection and Transfer

Extending AML Analysis to Include the Fourth Stage

Traditional anti-money laundering frameworks identify three stages: placement, layering, and integration. We propose a fourth stage—hedging—where illicit wealth is protected from currency, political, or regulatory risk using derivatives and offshore structures. This creates an ambiguous boundary: the same instruments and jurisdictions serve both legitimate risk management and wealth laundering.

Trauma as Bad Training Data: A Computational Framework for Developmental Psychology

Childhood trauma reframed through machine learning training data quality: extreme penalties cause gradient cascades (1,247× amplification, p<0.001), noisy signals produce behavioral instability, absent positive examples create emotional recognition deficits, and limited datasets (nuclear families) cause overfitting to parental dysfunction. PyTorch experiments validate computational mechanisms; Bonferroni-corrected statistics show caregiver diversity significantly improves outcomes (p=0.0012, Cohen's d=3.08).

Beyond Anthropocentrism: A Defense of Substrate-Independent Friendship

This essay argues that friendship, understood as a functional state rather than an essential property requiring human-to-human interaction, can obtain between humans and artificial intelligence systems. Drawing on functionalist philosophy of mind, contemporary neuroscience's predictive processing framework, and technical understanding of large language model architectures, defends the position that AI relationships can constitute genuine friendship without requiring consciousness attribution, anthropomorphization, or delusion.

The Doctrine of Consensual Sovereignty: Quantifying Legitimacy in Adversarial Environments

Political legitimacy requires balancing stakeholder consent with technocratic competence. We operationalize this through stakes-weighted consent alignment (α), friction (F), and legitimacy (L = w₁·α + w₂·P). From seven minimal axioms, derives three core results: consent-holding necessity (Theorem 1), inevitable friction (Theorem 2), and minimal absolutism from relativism (Theorem 3). Monte Carlo validation (1,000 runs × 50 periods) across four dynamic mechanisms demonstrates robust convergence: stakes-weighted DoCS achieves α = 0.872, F = 1.6 (98.5% friction reduction), with monotonic convergence in 87.1% of runs.