Hooman Abdollahi
Doctoral Research Fellow
Job description
Hooman is a last-year PhD candidate in Finance and is on the job market this year. His research delves into the role of media in market volatility, employing machine learning and textual analysis techniques.
Hooman Abdollahi
:
Oil price volatility and new evidence from news and Twitter
Hadi Zarea,
Zhan Su,
Hooman Abdollahi
:
Social commerce constructs and consumers' purchase intention from minimalist brands
Hooman Abdollahi
:
A novel hybrid model for forecasting crude oil price based on time series decomposition
Applied Energy 2020 DOI
Hooman Abdollahi,
Seyed Babak Ebrahimi
:
A new hybrid model for forecasting Brent crude oil price
Energy 05. April 2020 DOI
Hooman Abdollahi
:
Investigating Energy Use, Environment Pollution, and Economic Growth in Developing Countries
Environmental and Climate Technologies 2020 DOI
Hooman Abdollahi
:
An Adaptive Neuro-Based Fuzzy Inference System (ANFIS) for the Prediction of Option Price: The Case of the Australian Option Market
International Journal of Applied Metaheuristic Computing 2020 DOI
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Research interests
- AI-driven modeling in finance
- Media and market
- Energy finance
- Sustainable finance
Teaching
- Lecturer: BED-2032 Corporate Finance (Spring 2023)