Projects per year
Personal profile
Research interests
Developing novel artificial intelligence and statistical methods for financial decision making in different applications.
Willing to supervise doctoral students
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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Projects
- 1 Active
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Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry
30/04/20 → 29/04/24
Project: EU Commission
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Dysfunctional financial markets are making inequality worse all the time – here’s what to do about it
Hassanniakalager, A., 11 Mar 2021, The Conversation.Research output: Contribution to specialist publication › Article
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Technical Analysis Profitability and Persistence: A Discrete False Discovery Approach on MSCI Indices
Sermpinis, G., Hassanniakalager, A., Stasinakis, C. & Psaradellis, I., 31 Jul 2021, In: Journal of International Financial Markets, Institutions and Money. 73, 101353.Research output: Contribution to journal › Article › peer-review
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Trading the Foreign Exchange Market with Technical Analysis and Bayesian Statistics
Hassanniakalager, A., Sermpinis, G. & Stasinakis, C., 19 Jul 2021, In: Journal of Empirical Finance.Research output: Contribution to journal › Article › peer-review
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A Conditional Fuzzy Inference Approach in Forecasting
Hassanniakalager, A., Sermpinis, G., Stasinakis, C. & Verousis, T., 16 May 2020, European Journal of Operational Research, 283, 1, p. 196-216 21 p.Research output: Contribution to specialist publication › Article
2 Citations (Scopus) -
A False Discovery Rate Approach to Optimal Volatility Forecasting Model Selection
Hassanniakalager, A., Baker, P. & Platanakis, E., 26 Nov 2020, (In preparation) 39 p.Research output: Working paper
File12 Downloads (Pure)
Thesis
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Four essays in quantitative analysis: artificial intelligence and statistical inference
Author: Hassanniakalager, A., 25 Oct 2018Student thesis: Doctoral Thesis › PhD