Umeå University, Mathematics and Mathematical Statistics

Position ID: 2216-POSTDOC2 [#20166]
Position Title: Post doctor (2 years) within Financial Mathematics
Position Type: Postdoctoral
Position Location: Umea, Vasterbottens Lan 901 87, Sweden [map]
Subject Area: Financial Mathematics
Application Deadline: 2022/08/15 11:59PMhelp popup (posted 2022/06/21, listed until 2022/08/15)
Position Description:    

The Department of Mathematics and Mathematical Statistics at Umeå University is opening a postdoctoral position in Financial Mathematics focusing on the pricing of commodity futures and options contracts in the context of seasonality. Last day to apply: August 15, 2022.

The appointment is for two years at the Department of Mathematics and Mathematical Statistics. The successful candidate is expected to take on the research question with enthusiasm and high ambitions, actively engage with collaborators, and to participate in the daily activities of the research environment. Starting date can be at Janury 1, 2023 with some flexibility (earlier or later is possible).

Project description and working tasks:

Our investigation will build up on benchmark multi-factor models from the commodities futures pricing literature, but clearly distinguishing the different channels that can create seasonality, spot price and preferences. We will link the preference channel to utility-based determination of risk premia, using the well-known utility indifference pricing approach. There are two key elements that can (and need) to be implemented within this approach:

- time varying instantaneous risk-aversion

- non-wealth factors that affect investors utility (e.g. sentiments)

The pricing kernels obtained from this approach will be assessed against the pricing kernels of known multi-factor models. By doing so, some indication on which seasonal patterns may present market anomalies and arbitrages may be obtained. In the context of time varying instantaneous risk aversion there is scope here for deeper mathematical considerations involving the Malliavin calculus and time consistency issues.

In a further step, we investigate the possibility of market anomalies and arbitrages more directly. This will involve the concept of statistical arbitrage. Here there is scope for application of machine learning techniques.

The project offers opportunities for interdisciplinary collaborations with partners in the UK, Germany, Norway and the USA as well as links to the financial industry.

The successful applicant will be given an opportunity to develop a teaching portfolio contributing up to 20% of the total working time, but this is not a requirement.

Umeå offers excellent working and living conditions. The city is young and located right next to a large river. It is surrounded by forests and lakes and lies close by the sea. In the vicinity there are plenty of opportunities for both indoor and outdoor activities.

For further information and instructions on how to apply, see:

https://umu.varbi.com/en/what:job/jobID:523169/


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Contact: Christian Ewald
Email:
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Department of Mathematics and Mathematical Statistics
Umeå University
901 87 Umeå
Sweden
Web Page: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/