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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

20152018

Financial Engineering, Master in Science, University of Tehran

20122015

Industrial Engineering, Bachelor of Engineering, University of Tehran

20082012

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.

  • 40 Similar Profiles
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
  • 2 Working paper
  • 1 Doctoral Thesis
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 journalArticle

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 publicationArticle

Open Access

Meet the fanatics using Football Manager to beat the bookies

Hassanniakalager, A., 26 Aug 2018, Wired.

Research output: Contribution to specialist publicationArticle

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