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 returns
A 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