6th Floor,

Arfa Software Technology Park, Lahore

P (042) - 111-111-ITU (488)

Dr. Farrukh Mahmood
Assistant Professor
PhD - Econometrics, Pakistan Institute of Development Economics, Pakistan

I am an econometrician and I love to deal with data, and feel to live and breathe with data analysis — mainly, the compatibility between economic theory, mathematics, statistics, and data visualization. Often researchers ignore this compatibility and hence lead to misleading inference and conclusions. Most of the researchers just feed the data into the system and consider the results persuasive. However, the purpose of my research is to explore valid econometric modeling, which is not only consistent with economics theory but also the visualization of data, and hence it will help us to understand the real picture of data.


Dr. Farrukh Mahmood has completed his Ph.D. with a specialization in Econometrics, from the Pakistan Institute of Development Economics. In addition to that, he has also completed MSc. Economics and MPhil Economics and Finance Degree from the Pakistan Institute of Development Economics. He has served as visiting faculty at the Pakistan Institute of Development Economics, National Defense University, University of Lahore, University of Central Punjab, SZABIST, NED University of Engineering and Technology. He has also served as an Assistant Professor at Mohammad Ali Jinnah University, where he has performed various administrative positions such as Head of Department, Academic Advisor Ph.D. The program, Member of Graduate Studies, Member of Board of Advanced Studies and Research, Research Coordinator. In addition, he was a part of the prestigious research journal, i.e., Jinnah Business and Economics Research Journal, as an Academic Advisor.

  1. Mahmood, F., & Ali, H. (2013). Energy-cost optimization in the water-supply system. The Pakistan Development Review, 52:4 Part I (Winter 2013) pp. 437–446.
  2. Chasti, M. Z., Rehman, K., Iqbal, J., & Mahmood, F., (2018). The impacts of exchange rate volatility on commodity-wise trade flow between Pakistan and its major trading partner China. International Journal of Research and Innovation in Social Science, Vol.2, No.8, August 2018, pp: 85-95.
  3. Mahmood, F., (2018). Interest rate pass-through in Pakistan: Evidence from the asymmetric approach. NUST Journal of Social Sciences and Humanities, Vol.4, No.2, July-December 2018, pp 168-183
  4. Chasti, M. Z., Syed, H. A., Mahmood, F., & Sheikh, A., A., (2019). Exchange Rate Volatility and Domestic Consumption: A Comparative Study of Developed, Developing and Emerging Economies. International Journal of Accounting and Financial Reporting, Vol. 9, No. 3, pp1-23
  5. Mahmood, F., & Khan, S. A., (2020). Multimodality in the likelihood function of GARCH type models. Review of Pacific Basin Financial Markets and Policies, Vol.23, Issue.3.
  6. Chasti, M. Z., Iqbal, J., Mahmood, F., & Syed, H. A., (2020). The implication of the oscillations in exchange rate for the commodity wise trade flows between Pakistan & China: An evidence from ARDL approach. Review of the Pacific Basin Financial Markets and Policies, Vol. 23, Issue. 4.
  7. Mahmood, F., & Zakaria, M., (2021). Testing the Threshold Asymmetric Interest Rate Pass-Through in the Presence Of Stylized Properties: Evidence from Pakistan. The Pakistan Development Review, Vol. 60, No.1. pp. 17-26
  8. Mahmood, F., Hashim, S., Chasti, M. Z., & Iram, U., (2020). Wage disparities between high and low wage city with and without the cost of living within Punjab and Sindh: An application of Oaxaca Blinder using PSLM with HIES. Journal of Applied Economics and Business Studies, Vol. 4, No. 4, pp 1-14.
  9. Mahmood, F., Hashim, S., & Fatima, H., (2021), A Complete Picture of Spatial Disparity in Cost of Living Index: A Case Study of Pakistan’s Cities. Journal of Applied Economics and Business Studies, Vol. 5, No, 1.
  10. Mahmood, F., (2017), Model Specification and Data Problems: A Case Study of Market Volatility and Retail Interest Rate Pass-Through. MPRA Working Paper No. 7934.

HEC Pakistan – Indigenous Scholarship for Five Years