relative-value

Cross-asset relative value mispricings are identified by constructing spreads, ratios, and cointegration-based relationships to detect when securities deviate from their theoretical fair value. The approach requires calibrating models to compute fair values and monitoring for mean-reversion entry signals.

Capital-structure arbitrage and convertible arbitrage trades are set up by selecting related instruments across a capital structure, calculating their spread, and testing mean-reversion entry and exit signals. You then implement hedged, market-neutral strategies to profit from convergence to fair value.

Cointegration models are used to spot basis trade opportunities by calibrating empirical relationships between cash instruments and their derivatives. The Skill computes fair values from these structural models to identify when bond vs derivative relationships diverge from historical norms.

Relative value arbitrage strategies for equity vs credit spreads are needed when temporary mispricings occur across related securities. Traders use these strategies to exploit pricing gaps between instruments like CDS vs equity or senior vs subordinated debt before they converge.

Monitoring liquidity is required to implement risk controls for cross-asset relative value trades. The Skill explicitly includes monitoring liquidity and implementing risk controls as core requirements for identifying and exploiting mispricings across related securities.

Relative value strategies rely on convergence to fair value, which can be delayed or disrupted by liquidity constraints and structural market shifts. These hedged, market-neutral trades require continuous model calibration and active risk controls to manage mispricing persistence.