Geometry and Spectral Theory Applied to Credit Bubbles in Arbitrage Markets: The Geometric Arbitrage Approach to Credit Risk

Symmetry 2022, 14

25 Pages Posted: 28 Jun 2014 Last revised: 28 Jun 2022

Date Written: June 27, 2022

Abstract

We apply Geometric Arbitrage Theory (GAT) to obtain results in mathematical finance for credit markets, which do not need stochastic differential geometry in their formulation. The remarkable aspect of the GAT is the gauge symmetry, which can be translated to the financial context, by packaging all of the asset model information into a (stochastic) principal fiber bundle. We obtain closed-form equations involving default intensities and loss-given defaults characterizing the no-free-
lunch-with-vanishing-risk condition for government and corporate bond markets while relying on the
spread-term structure with default intensity and loss-given default. Moreover, we provide a sufficient condition equivalent to the Novikov condition implying the absence of arbitrage. Furthermore, the generic dynamics for an isolated credit market allowing for arbitrage possibilities (and minimizing the total quantity of potential arbitrage) are derived, and arbitrage credit bubbles for both base credit assets and credit derivatives are explicitly computed. The existence of an approximated risk-neutral measure allowing the definition of fundamental values for the assets is inferred through spectral theory. We show that instantaneous bond returns are serially uncorrelated and centered, that the expected value of credit bubbles remains constant for future times where no coupons are paid, and that the variance of the market portfolio nominals is concurrent with that of the corresponding bond
deflators.

Keywords: Credit Risk, No-Free-Lunch-With-Vanishing-Risk, Geometric Arbitrage Theory, Arbitrage Credit Bubbles

JEL Classification: CO2, C62, D05, D52, D58, E43, G11, G12, G13

Suggested Citation

Farinelli, Simone and Takada, Hideyuki, Geometry and Spectral Theory Applied to Credit Bubbles in Arbitrage Markets: The Geometric Arbitrage Approach to Credit Risk (June 27, 2022). Symmetry 2022, 14, Available at SSRN: https://ssrn.com/abstract=2459369 or http://dx.doi.org/10.2139/ssrn.2459369

Simone Farinelli (Contact Author)

Core Dynamics GmbH ( email )

Scheuzerstrasse 43
Zurich, 8006
Switzerland

Hideyuki Takada

Toho University ( email )

Room 4421
Miyama 2-2-1
Funabashi, Chiba 274-8510
Japan
(+81)-47-472-1856 (Phone)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
56
Abstract Views
553
rank
494,754
PlumX Metrics