The thesis gets inspiration from a paper by A. Gombani and W. J. Runggaldier (2013). By applying a convex transformation to a generic term structure, it can be shown that an interest rates derivatives pricing issue is equivalent to a stochastic control problem. We try to use the same procedure considering to model multiplicative spreads in a financial market which may not provide a martingale measure. More precisely, we combine the roll-over risk formulation for spreads with the bechmark approach. Moreover, we propose a representation of spot spreads depending on a portofolio process whose corresponding strategy solves a risk-sensitive portfolio optimization problem.

The thesis gets inspiration from a paper by A. Gombani and W. J. Runggaldier (2013). By applying a convex transformation to a generic term structure, it can be shown that an interest rates derivatives pricing issue is equivalent to a stochastic control problem. We try to use the same procedure considering to model multiplicative spreads in a financial market which may not provide a martingale measure. More precisely, we combine the roll-over risk formulation for spreads with the bechmark approach. Moreover, we propose a representation of spot spreads depending on a portofolio process whose corresponding strategy solves a risk-sensitive portfolio optimization problem.

A stochastic control perspective of multi-curve term structures under the benchmark approach

PAVARANA, SIMONE
2021/2022

Abstract

The thesis gets inspiration from a paper by A. Gombani and W. J. Runggaldier (2013). By applying a convex transformation to a generic term structure, it can be shown that an interest rates derivatives pricing issue is equivalent to a stochastic control problem. We try to use the same procedure considering to model multiplicative spreads in a financial market which may not provide a martingale measure. More precisely, we combine the roll-over risk formulation for spreads with the bechmark approach. Moreover, we propose a representation of spot spreads depending on a portofolio process whose corresponding strategy solves a risk-sensitive portfolio optimization problem.
2021
A stochastic control perspective of multi-curve term structures under the benchmark approach
The thesis gets inspiration from a paper by A. Gombani and W. J. Runggaldier (2013). By applying a convex transformation to a generic term structure, it can be shown that an interest rates derivatives pricing issue is equivalent to a stochastic control problem. We try to use the same procedure considering to model multiplicative spreads in a financial market which may not provide a martingale measure. More precisely, we combine the roll-over risk formulation for spreads with the bechmark approach. Moreover, we propose a representation of spot spreads depending on a portofolio process whose corresponding strategy solves a risk-sensitive portfolio optimization problem.
stochastic control
benchmark approach
multi-curve modes
risk-sensitive
roll-over risk
File in questo prodotto:
File Dimensione Formato  
master_thesis.pdf

accesso aperto

Dimensione 1.23 MB
Formato Adobe PDF
1.23 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/35013