Research Output per year
Personal profile
Research interests
Developing novel artificial intelligence and statistical methods for financial decision making in different applications.
Willing to supervise PhD
If you have a passion for numbers and are a bit intrigued by finance drop me an email. We can spend a couple of years on something to move the borders of science ;)
Education/Academic qualification
Quantitative Finance, Doctor of Philosophy, University of Glasgow
2015 → 2018
Financial Engineering, Master in Science, University of Tehran
2012 → 2015
Industrial Engineering, Bachelor of Engineering, University of Tehran
2008 → 2012
Keywords
- Quantitative Finance
- Artificial Intelligence
- High-frequency trading
- Machine Learning
- Forecasting
- Statistics
- Gambling
- HG Finance
- HA Statistics
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Artificial intelligence
Engineering & Materials Science
Statistical methods
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Decision making
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2017 2019
12
Downloads
(Pure)
A machine learning perspective on responsible gambling
Hassanniakalager, A. & W.S.Newall, P., 29 Apr 2019, In : Behavioural Public Policy. p. 1-26 26 p.Research output: Contribution to journal › Article
Open Access
File
We took a gamble on Premier League betting odds – and showed that football bets should come with a health warning
Hassanniakalager, A. & Newall, P., 2 Jan 2019, The Conversation.Research output: Contribution to specialist publication › Article
Open Access
Four essays in quantitative analysis: artificial intelligence and statistical inference
Hassanniakalager, A., 25 Oct 2018, 247 p.Research output: Thesis › Doctoral Thesis
Meet the fanatics using Football Manager to beat the bookies
Hassanniakalager, A., 26 Aug 2018, Wired.Research output: Contribution to specialist publication › Article
Technical Analysis and Discrete False Discovery Rate: Evidence from MSCI Indices
Sermpinis, G., Hassanniakalager, A., Stasinakis, C. & Psaradellis, I., 16 Nov 2018, SSRN.Research output: Working paper
Open Access