Arman Hassanniakalager | Source | Lecturer in Finance at University of Bath
Arman Hassanniakalager
Arman Hassanniakalager is an assistant professor at the University of Bath. He is a published author in the fields of Artificial Intelligence, Operations Research, and Psychology. In 2018, he obtained his PhD in Quantitative Finance for a thesis titled “Four Essays in Quantitative Analysis: Artificial Intelligence and Statistical Inference” at the University of Glasgow. Before moving to the United Kingdom, he completed his MSc in Financial Engineering and a BEng in Industrial Engineering at the University of Tehran (Iran). While studying his postgraduate degree, he worked as a retail trader in the foreign exchange market. Arman speaks fluently English and Farsi; he is proficient in programming and parallel computing and helps the Bath Royal Literary and Scientific Institution over his leisure time.
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When the expectation for a stock is to have a jump in revenue, a 1% rise, as for Sina's case may not appear appealing. It could be explained by the company misleading the stock market and creating excessive optimism.
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There is a global race to find a viable solution to create more reliable - and better performing - investment decisions in financial trading. Our model offers consistently higher returns compared to others developed to date.
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Algorithm to transform investment banking with higher returnsA University of Bath researcher has created an algorithm which aims to remove the elements of chance, bias or emotion from investment banking decisions, a development which has the potential to reduce errors in financial decision making and improve financial returns in global markets.
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University of Bath (https://www.bath.ac.uk/)
Lecturer in Finance
started Nov 2018