collaborators

7 papers

q-fin.PR2026

Non-Spanning Identification of Scheduled Event Risk in Option Pricing

Tenghan Zhong

Short-dated index options make scheduled macro-announcement risk visible in market prices, but visibility does not imply identification: a flexible no-event surface fitted to event…

q-fin.TR2026

Entropy-Regularized Certainty-Equivalent Bellman Policies for Risk-Sensitive Market Making

Tenghan Zhong

We study a finite-inventory risk-sensitive market making problem in which a dealer controls bid and ask quotes, faces Brownian midprice risk, and receives liquidity-taking orders t…

q-fin.ST2026

Risk-Sensitive Specialist Routing for Volatility Forecasting

Tenghan Zhong

Volatility forecasting becomes challenging when market conditions shift and model performance varies across market states. Motivated by this instability, we develop a risk-sensitiv…

q-fin.RM2026

Reliability-Aware ETF Tail-Risk Monitoring

Tenghan Zhong, Keyuan Wu

Daily ETF risk monitoring can become unreliable when market data quality degrades, market conditions shift, or predictive performance becomes unstable. This paper develops a reliab…

q-fin.RM2026

Marking-Aware Sequential VaR Recalibration for Standardized Option Books

Tenghan Zhong, Keyuan Wu

Daily Value-at-Risk (VaR) for option books requires more than an accurate quantile forecast. It first requires a precise definition of the loss target. Before any model is evaluate…

q-fin.RM2026

Proxy-Reliance Control in Conformal Recalibration of One-Sided Value-at-Risk

Tenghan Zhong

We introduce a proxy-reliance-controlled conformal recalibration framework for one-sided Value-at-Risk (VaR), and study a question that existing state-aware methods do not usually…