Staff profile

Professor Jae H. (Paul) Kim

Professor

Faculty of Business, Economics and Law

La Trobe Business School
Department of Finance

DWB 331, Melbourne (Bundoora)

 

Qualifications

BEc, MEc, PhD

Area of study

Finance

Brief profile

Jae (Paul) Kim is a Professor of Finance in the Department of Finance at La Trobe University. He has published widely in the areas of empirical finance, econometrics, and time series forecasting. His current research areas in finance include return predictability, testing for market efficiency, capital market integration, and realized beta and volatility estimation.

He is an author of two software packages written in R: one for time series forecasting and the other for testing for asset market efficiency and return predictability.  The wild bootstrap variance ratio test he has proposed is available in Eviews 7, accessible to a mass of students and researchers around the world. 

After completing his PhD at the University of Sydney in 1997, he has worked at James Cook University, La Trobe University, and Monash University, before returning to La Trobe in June 2009.

For the published papers and citations, see: http://scholar.google.com/citations?user=zEs_RAgAAAAJ&hl=en

For working papers, see http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=376395

 

Research specialisation

- Financial econometrics and time series analysis

- Quantitative finance

Teaching units

FIN5EME, FIN3QRA

Recent publications

Software  

Kim, J. H., 2010, vrtest: Variance Ratio tests and other Tests for Martingale Difference Hypothesis. R package ver. 0.95. (available freely from http://www.r-project.org/)   

Kim, J. H., 2009, BootPR: Bootstrap Prediction Intervals and Bias-Corrected Forecasting. R package version 0.56. (available freely from http://www.r-project.org/)

Resume

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