Dr Gurjeet Dhesi
Telephone:020 7815 7090
School/Division:Business / Business and Enterprise
Gurjeet Dhesi gained his BSc in Physics from University College London with first class honours in 1984. He then moved to the University of Birmingham where his postgraduate studies were in Theoretical Physics. He completed his PhD in Mathematics (Theoretical Physics) in 1988. Further to this he also holds a Masters in Business Analysis with distinction from the University of Leicester.
Gurjeet is an active and experienced PhD supervisor in the area of Quantitative Studies applied in the domain of Finance, Business and Economics and has published in a wide range of subject areas.
He is currently the module leader for:
Level 6 (Year 3)
- Financial Forecasting and Modelling
- Optimisation Techniques and Mathematics
- Analytical Techniques for International Business and Finance
Most recent publications
Huang, X and Macaira, P and Hassani, H and Oliviera, F and Dhesi, G Comparative Causality Analyses between Hydrological Natural Inflow and Climate Variables in Brazil. Physica A: Statistical Mechanics and its Applications, 516. 480-495. DOI https://www.doi.org/10.1016/j.physa.2018.09.079
Dhesi, G Non stationarity of high order return distribution moments and their Irrational fractional Brownian Motion modelling. In: EURO 2018, 8th - 11th July 2018, Valencia.
Andrei, T and Oancea, B and Richmond, P and Dhesi, G and Herteliu, C Decomposition of the Inequality of Income distribution by income types- Application for Romania. Entropy, 19. 430. DOI 10.3390/e19090430
Dhesi, G and Ausloos, M Finite size effects in the averaged eigenvalue density of Wigner random-sign real symmetric matrices. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 93. DOI 10.1103/PhysRevE.93.062115
Dhesi, G and Shakeel, MB and Xiao, L Modified Brownian Motion Approach to Modelling Returns Distribution. Wilmott, 82. 74-77. DOI 10.1002/wilm.10494
Dhesi, G and Ausloos, M Modelling and measuring the irrational behaviour of agents in financial markets: Discovering the psychological soliton. Chaos, Solitons and Fractals, 88. 119-125. DOI 10.1016/j.chaos.2015.12.015More publications at LSBU Research Open