Pre-Trade Uncertainty and the Subordinated Uncertainty Index

46 Pages Posted: 20 Apr 2026

See all articles by Ayush Jha

Ayush Jha

Texas Tech University

Ali Jaffri

North Dakota State University - College of Business

Svetlozar T. Rachev

Texas Tech University

Frank J. Fabozzi

Johns Hopkins University - Carey Business School

Date Written: April 14, 2026

Abstract

We develop a structurally grounded measure of financial uncertainty that originates in the price discovery process itself rather than in realized transaction returns. Modeling bid and ask quotes as distinct stochastic processes evolving under side-specific stochastic business clocks, we show that pre-trade uncertainty has a dual character: it arises from both the magnitude of potential price fluctuations (the diffusion component) and the intensity of information arrival (the stochastic clock). We construct a Subordinated Uncertainty Index (SUI) that integrates diffusion risk, stochastic clock dynamics, and structural dependence into a unified, economically interpretable measure. The index is estimated from high-frequency S&P 500 limit-order-book data using a hybrid GMM-empirical characteristic function procedure applied across financial crisis episodes, monetary policy announcements, and geopolitical event windows. Three substantive findings emerge. First, spikes in the SUI are frequently driven by changes in the stochastic clock rather than by conventional volatility, indicating that the timing channel of uncertainty is empirically important and is missed by standard realized or implied volatility measures. Second, the bid-ask decomposition reveals systematic asymmetries between demand and supply-side uncertainty that vary predictably with event type: during the Bear Stearns episode, supply-side uncertainty dominates, consistent with an abrupt withdrawal of liquidity providers, whereas the Lehman episode exhibits broadly symmetric responses. Third, a formal first-order decomposition of the bid-ask uncertainty spread shows that even when volatility is similar across sides, differences in stochastic clock precision and drift-clock coupling can generate substantial divergence in perceived uncertainty. These results establish the SUI as a structurally motivated, pre-trade measure of uncertainty that captures dimensions of market risk not subsumed by existing volatility-based proxies.

Keywords: Pre-Trade Uncertainty, Subordinated Lévy Processes, Stochastic Business Time, Limit Order Book, Bid-Ask Decomposition

JEL Classification: C32, G12, G14

Suggested Citation

Jha, Ayush and Jaffri, Ali and Rachev, Svetlozar T. and Fabozzi, Frank J., Pre-Trade Uncertainty and the Subordinated Uncertainty Index (April 14, 2026). Available at SSRN: https://ssrn.com/abstract=6576880 or http://dx.doi.org/10.2139/ssrn.6576880

Ayush Jha (Contact Author)

Texas Tech University ( email )

2500 Broadway
Lubbock, TX 79409
United States

Ali Jaffri

North Dakota State University - College of Business ( email )

Fargo, ND 58105
United States
8065024729 (Phone)

Svetlozar T. Rachev

Texas Tech University ( email )

2500 Broadway
Lubbock, TX 79409
United States

Frank J. Fabozzi

Johns Hopkins University - Carey Business School ( email )

100 International Drive
Baltimore, MD 21202
United States

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