PhD position on Climate Change Sentiment and Equity Risk Measures

PhD position on Climate Change Sentiment and Equity Risk Measures

Published Deadline Location
25 Nov 15 Jan Enschede

Job description

The department of High-tech Business and Entrepreneurship (HBE), is an ambitious and steadily growing tech-centred business school that merges business and entrepreneurship with tech innovation and social sciences to help companies and business people impact society.

The Financial Engineering section, part of HBE, looks for a talented researcher who is interested in financial markets and risk management. The goal of this project is to investigate whether the forecasting performance of equity risk measures (Value-at-Risk & Expected Shortfall) improves if events and news associated with climate change are incorporated.

A global outline of the project is as follows. You will first construct one or more market news and sentiment indicators that capture news and investor sentiment about climate change, based on information from e.g. Twitter feeds, Google trends data, Reddit, Wikipedia, news blogs, newspaper headlines and other relevant (online) sources. These indicators will vary from simple ones to more advanced ones possibly based on machine learning techniques.Subsequently, you will assess the predictive power of these indicators for the risk measures, both in an absolute sense and in comparison to the same risk measures that ignore the extra information. You will assess the predictive power of the risk measures by means of backtesting. You will consider different types of stocks and stock indices, with a special focus on sectors that are expected to be sensitive to the consequences of climate change.

Specifications

University of Twente (UT)

Requirements

  • You are an enthusiastic and highly motivated researcher and are genuinely interested in the impact of climate change on financial risks.
  • You have an MSc degree in Econometrics, Statistics, Actuarial Science, (Applied) Mathematics or a related field, with proven skills for statistical and econometric modeling, programming (e.g. R, Python or Matlab), handling large data sets and implementing machine-learning algorithms.
  • You have a creative mindset and excellent analytical and communication skills.
  • You are fluent in English

Conditions of employment

  • As a PhD student at the UT, you will be appointed on a fulltime position for four years, with a qualifier in the first year, within a very stimulating scientific environment.
  • Salary and conditions are in accordance with the collective labour agreement for Dutch universities (CAO- NU).
  • You will receive a salary ranging from €2.434,- gross per month at the start to €3.111,- in the fourth year.
  • Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme.
  • A training program in which you and your supervisors will make up a plan for additional suitable education and supervision.
  • We encourage a high degree of responsibility and independence, while collaborating with colleagues and researchers from various disciplines, and partners from industry.

Additional information

Applicants are welcomed to submit their application up and until 15 January 2022. Include in your application:
  • A motivation letter, emphasizing your specific interest and motivation to apply for a PhD position in our group.
  • A full Curriculum Vitae including an overview of your education, publications, awards, and working experience. Your CV should demonstrate the scope of your education and possible work experience and indicate a good fit with the stated requirements for the position.
  • Contact details of at least two referees.
  • An academic transcript of BSc and MSc education, including grades.
For more information on this position you can contact prof. dr. Laura Spierdijk, email: l.spierdijk@utwente.nl.

Specifications

  • PhD
  • Economics
  • max. 40 hours per week
  • €2434—€3111 per month
  • University graduate
  • 181

Employer

University of Twente (UT)

Learn more about this employer

Location

Drienerlolaan 5, 7522NB, Enschede

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Application procedure

Application procedure

Make sure to apply no later than 15 Jan 2022 23:59 (Europe/Amsterdam).