Dennis Arku (Bsc.(Legon, Ghana), MPhil (Legon, Ghana), Ph.D(UCC,Ghana))

Research interest 
Applied and Theoretical Statistics:
I am a Risk Statistician with a wide range of interest: Statistical learning and Applied Statistics in insurance, economics, and finance, as well as statistical design and analysis of experiments. My work primarily focuses on development and application of statistical methods and risk models in solving problems arising in the fields of insurance, finance, as well as expertise in agricultural and clinical research experiments.

Current research/project(s)
1. Randomized Complete Block Design with Multiple Covariates.
In this study we examine model flexibility and efficiency for experiments with multiple covariates under randomized complete block design.
2. A three-stage quantile regression approach to insurance pricing and monitoring.
3. Whistleblowing and its link on Corporate Governance and Compliance: The case of Financial Companies listed on the Ghana Stock Exchange.

Recent publications
Arku, D, Doku-Amponsah, K., & Howard, N. (2018).  A Markov-modulated Tree-based Gradient Boosting Model for Auto-insurance Risk Premium Pricing. Risk and Decision Analysis Journal.
Arku, D, Doku-Amponsah, K., & Howard, N. (2018). Performance Assessment of Non-life Insurance Companies in Ghana: An Application of Grey Systems Theory. Advances and Applications in Statistics (Accepted 2018).

Baidoo, I. K. & Arku, D. (2015). Delinquency and default risk modelling of microfinance in Ghana. Ghanaian Journal of Economics.

Professional membership(s)
University Teachers Association, University of Ghana. (UTAG-UG)
Ghana Statistical Association (GSA)