Paper: arXiv 2505.08943
Authors: Philip A. Ernst, Oleksii Mostovyi
Abstract
We investigate a pricing rule that is applicable for streams of income or contingent claim liabilities and study how this rule changes under additional insider-type information that an investor might obtain. Considering a model where the risky asset might have jumps, we obtain an explicit form of the associated state price density for the three different types of agents considered in [ER20]: one who has no information about the jumps, one who knows in advance exactly when the each jump will occur, and one who has no information about the size of the jumps but has partial information about the size of each jump. For each of these agents, we provide characterizations of the pricing rule and establish a representation formula, allowing us to quantify the value of partial information for streams of labor income or contingent claim liabilities. Our work is motivated by finding and characterizing a pricing rule that, both with or without partial information about jumps, assigns different values of information for different income streams or contingent claim liabilities.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 1.5/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper provides rigorous, high-level mathematical formulations using stochastic calculus, jump diffusions, and duality theory to model insider trading and partial information. However, it is purely theoretical mathematical finance with no empirical data, backtesting, or statistical validation.
Research Flowchart
flowchart TD
A[Research Goal: Quantify the value of partial jump info for pricing income streams/liabilities] --> B[Inputs: Asset models with jumps & 3 Agent Info Levels: No, Full Time, Partial Size]
B --> C[Methodology: Derive explicit State Price Densities SPD for each agent type]
C --> D[Computational Process: Formulate representation formulas & establish pricing rules]
D --> E[Outcomes: Quantified information value & differentiated pricing rules for varying liabilities]