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  • Dr Abhay Singh

    Dr Abhay Singh

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Associate Professor Abhay Singh

Associate Professor Abhay Kumar Singh is a Senior Lecturer and Finance Decision Lab Coordinator at the Department of Applied Finance & Actuarial Studies in the Faculty of Business & Economics, Macquarie University, Sydney.

He has a Bachelor of Technology degree in Information Technology and an MBA from the Indian Institute of Information Technology & Management Gwalior, India (2009). He completed his Ph.D. in Finance from Edith Cowan University, Perth, Australia in 2011 and was awarded the University Research Medal for an outstanding thesis.

He is a big believer in open source software and has been using R for statistical computing including quantitative research methods for over 4 years. He has recently co-authored a book entitled, R in Finance & Economics-A Beginner’s Guide for anyone interested to learn R. Abhay has over seven years’ experience in Empirical research. He has produced over 70 research outputs since the start of his career in 2009 on a range of topics including, finance, investments, econometrics, machine learning, and data analytics etc. Being an R enthusiast, his current research includes new and contemporary topics like Social Media Analytics and Big Data in Finance.

Awards and recognition

  • 2016 - Edith Cowan University School of Business & Law Dean’s Award for Early Career Researcher
  • 2016 - Markets and Services Research Centre (MASRC) Award for Research Excellence
  • 2015 - Edith Cowan University Faculty of Business & Law Dean’s Award for Early Career Researcher
  • 2011 - Edith Cowan University Research Medal
  • 2011 - Special Award for Outstanding Performance in Research (School of Accounting, Finance and Economics)
  • 2011 - Faculty of Business & Law Dean's List of High Achieving Graduates
  • 2010 - Edith Cowan University Post Graduate Research Scholarship (International) for Phd in Finance

Research areas and interests

  • Quantitative Methods in Finance & Economics
  • Applied Econometrics
  • Multivariate Statistics
  • Data Mining and Machine Learning
  • Social Media Analytics
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