Institut für Kognitionswissenschaft

Institute of Cognitive Science

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Faisal Khalil

PHD Student


Tel. +49 (0)541 969-3403
Fax +49 (0)541 969-2246

Room 50/215

Institute of Cognitive Science
Wachsbleiche 27
49090 Osnabrück, Germany

Research Interests

In recent past, I have been working on time series models and some of these models are as follow: ARCH, GARCH, dynamic and simple Panel Data models, VECM, VAR co-intergeneration, ARDL, causality and 2& 3 SLS. Currently, my research interest has been spilled over the application of artificial intelligence, more specifically deep learning in the field of finance. Predominately, Natural language processing computational techniques with python and procedures to build meaning full syntactical and sentiment analysis is my core research interest.

Current Projects

My research is funded by DAAD and currently, I am working on news analytics and automated intelligent systems to predict, seize the opportunity and execute the profitable trade automatically for USA based listed stocks. The first part of the project is related to news analytics and more specifically, building sentiment analysis from hundreds of thousands diversified news feeds and sources. The second part of the project is related to building real-time intelligent system based on news analytics and many other factors.




Impact of Terrorist Attacs on Stock Market Performance: A Case of Pakistan.
Khalil, F., & Akhtar, W.
Asian Journal of Economic Modelling
5(2), 208-222. (2017)

Managerial Attributes Effect on Mutual Fund Performance: Case from Pakistan, an Emerging Mutual Fund Market.
Khalil, F., ul Hassan, N., & Qamar, M. A. 
European Online Journal of Natural and Social Sciences, 5(2), 432. (2016)

"Sexual frustration, religiously forbidden actions and work efficiency—a case study from the Pakistan perspective."
Khalil, Faisal
Contemporary Islam 10.3 (2016): 477-487.

Corporate Governance Culture Transmission in Mutual Funds: Directors as Vector of Transmission.
Qamar, M. A. J., Khalil, F., & Akhtar, W.

International Journal of Academic Research in Accounting, Finance and Management Sciences, 6(2), (2016): 175-183.