Closing date: 22 January 2018
Swansea University Research Excellence Scholarships (SURES)
Swansea University is proud to offer 15 fully-funded PhD scholarships for students commencing study in October 2018 or January 2019.
The scholarships will be awarded on the basis of student excellence across a portfolio of 34 potential projects.
Project title: Using Quantile Regressions to Obtain Skewness and Forecast Stock Returns
Start date: October 2018
Summary and relevant literature
Prior literature documents a negative relation between variables directly or indirectly related to cross-sectional variations in future skewness and stock returns (Boyer et al., 2010; Bali et al., 2011; Boyer and Vorkink, 2014; and Conrad et al., 2014). We calculate density forecasts from quantile regressions and obtain an estimate of the physical skewness of an asset’s future return distribution.
Research questions and methodology
Specifically, we follow Aretz and Arisoy (2016) and employ panel-data quantile regressions of the future stock returns on lagged predictor variables. We obtain the ﬁrst three return moments based on the ﬁtted quantile regression values and then calculate stock-speciﬁc skewness. We also compare the predictability of our skewness forecasts with other variables in the literature implicitly or explicitly associated with skewness. For example, Neuberger (2012) introduces a realized physical skewness measure using both stock and option prices. And Conrad et al. (2014) propose a logit model by assuming a lottery-like future return. Lastly, we form portfolios and run Fama-MacBeth (1973) regressions using the skewness estimates as pricing variables.
We will acquire daily stock prices and the relevant variables from COMPUSTAT. Daily option prices will be obtained from OptionMetrics. We will also obtain data about the market return, SMB, HML, MOM, and the risk-free rate from Kenneth French's website.
The successful applicant will have access to our Postgraduate Research Student Training programmes.
Candidates should have (or expect to obtain) a first class honours degree (or equivalent) and/or a master's degree with dostinction in finance, statistics, mathematics or a related subject.
Programming skills for R (or Matlab, C++, etc.) are required.
Due to funding restrictions, this scholarship is open to UK/EU candidates only.
The scholarship covers the full cost of UK/EU tuition fees and an annual stipend of £14,553 for 3 years.
There will also be £1,000 per annum available for research expenses such as travel, accommodation, field trips and conference attendance.
To apply please complete and return the following documents to Dr Vivienne Jenkins (email@example.com) quoting reference COMAN2:
Student applications will be evaluated against the following criteria: