Prof. Francesca Biagini (LMU Munich) will give a virtual talk at our Department seminar.

Date: 13 October 12:00 CEST.

Title: "Reduced-form setting under model uncertainty with non-linear affine intensities"

If you would like to attend via Zoom, please register at the following link, we will send you the details:
https://docs.google.com/forms/d/e/1FAIpQLSe6_5W5PbKr9R3fufAahV1D4js4-6AAcEn6IizTf5G-vLRnJA/viewform

Abstract:

In this talk we present  a market model including financial assets and  
life insurance liabilities  within a reduced-form framework under model 
uncertainty by following  [1]. In particular
we extend this framework to include mortality  intensities following an 
affine process under parameter uncertainty, as defined in [2]. 

This allows both to introduce the definition of a longevity bond under 
model uncertainty in a consistent way with the classical case under one 
prior, as well as to compute it by explicit
formulas or by numerical methods. We also study conditions to guarantee 
the existence of a càdlàg modification for the longevity bond’s value 
process.  Furthermore, we show how the resulting
market model extended with the longevity bond is arbitrage-free and study 
arbitrage-free pricing of contingent claims or life insurance liabilities 
in this setting. 

This talk is based on:

 [1] Francesca Biagini and Yinglin Zhang. Reduced-form framework under 
model uncertainty. The Annals of Applied Probability, 29(4):2481–2522, 
2019.

 [2] Francesca Biagini and Katharina Oberpriller. Reduced-form framework 
under model uncertainty.  accepted on Probability, Uncertainty and
Quantitative Risk, 2021. 

 [3] Tolulope Fadina, Ariel Neufeld, and Thorsten Schmidt. Affine 
processes under parameter uncertainty. Probability, Uncertainty and 
Quantitative Risk [link.springer.com] volume 4 (5),
2019.

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Prof Alessandro Gnoatto, PhD
Dipartimento di Scienze Economiche
Università degli Studi di Verona
Via Cantarane 24
37129, Verona, Italy
Room 1.05
Tel: +39 045 802 8537
Homepage: www.alessandrognoatto.com
E-mail: alessandro.gnoatto@univr.it
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View my research on my SSRN Author page: 
http://ssrn.com/author=1615989 
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