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
Fingerprint Dive into the research topics where Arman Hassanniakalager is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Artificial intelligence
Engineering & Materials Science
Statistical methods
Engineering & Materials Science
Decision making
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2017 2019
- 4 Article
A Conditional Fuzzy Inference Approach in Forecasting
Hassanniakalager, A., Sermpinis, G., Stasinakis, C. & Verousis, T., 9 Nov 2019, European Journal of Operational Research.Research output: Contribution to specialist publication › Article
48
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
6
Citations
(Scopus)
28
Downloads
(Pure)
Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds
Sermpinis, G., Stasinakis, C. & Hassanniakalager, A., 1 Dec 2017, In : European Journal of Operational Research. 263, 2, p. 540-558 19 p.Research output: Contribution to journal › Article
Open Access
File
Thesis
Four essays in quantitative analysis: artificial intelligence and statistical inference
Author: Hassanniakalager, A., 25 Oct 2018Student thesis: Doctoral Thesis › PhD