Minjoo Kim, PhD, FHEA

Appointments

• Senior Lecturer in Finance, Management School, University of Liverpool, 2018 – Current

• Lecturer in Economics, Adam Smith Business School, University of Glasgow, 2011 – 2018

Education

• PhD in Finance, University of Leeds

• MRes in Economics, Sungkyunkwan University

• MA in Economics, Sungkyunkwan University

• BA in Economics, Sungkyunkwan University

Research Interests

• Corporate investment

• Climate change

• Machine learning

• Applied financial econometrics

Publications

1. Ding, S., Kim, M., Zhang, X., & Zhou, Z. (2025). The impact of cash flow uncertainty on investment-cash flow sensitivity in China: The debt financing channel. International Journal of Finance and Economics, forthcoming. doi:10.1002/ijfe.3103 

2. Dong, Y., Kim, M., & Chen, X. (n.d.). Can corporate governance information facilitate accounting fraud detection in China? Evidence from machine learning. The International Journal of Accounting, Accepted.

3. Kim, M., Zhang, X., Yan, C., & Zhao, Y. (2024). Default dependence in the insurance and banking sectors: A copula approach.  Journal of International Financial Markets, Institutions and Money, 91, 101911. doi:j.intfin.2023.101911 

4. Kim, M., Yang, J., Song, P. & Zhao, Y. (2021). The dependence structure between equity and foreign exchange markets and tail risk forecasts of foreign investments. Quantitative Finance, 21(5), 815–835. doi:10.1080/14697688.2020.1812701 

5. Cai, X., Kim, M., Shin, Y., & Zhang, Q. (2019). FARVaR: Functional Autoregressive Value-at-Risk. Journal of Financial Econometrics, 17(2), 284–337. doi:10.1093/jjfinec/nby031 

6. Ding, S., Kim, M. & Zhang, X. (2018). Do firms care about investment opportunity? Evidence from China. Journal of Corporate Finance, 52, 214–237. doi:10.1016/j.jcorpfin.2018.07.003 

7. Cerrato, M., Crosby, J., Kim, M., & Zhao, Y. (2017). The joint credit risk of UK global-systemically important banks. Journal of Futures Markets, 37(10), 964–988. doi:10.1002/fut.21855 

8. Cerrato, M., Crosby, J., Kim, M., & Zhao, Y. (2017). Relation between higher order comoments and dependence structure of equity portfolios. Journal of Empirical Finance, 40, 101–120. doi:10.1016/j.jempfin.2016.11.007 

9. Chaudhuri, K., Kim, M., & Shin, Y. (2016). Forecasting distribution of inflation rates: functional autoregressive approach. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(1), 65–102. doi:10.1111/rssa.12109 

10. Dang, V., Kim, M., & Shin, Y. (2015). In search of robust methods for dynamic panel data models in empirical corporate finance. Journal of Banking and Finance, 53, 84–98. doi:10.1016/j.jbankfin.2014.12.009 

11. Dang, V., Kim, M., & Shin, Y. (2014). Asymmetric adjustment toward optimal capital structure: evidence from a crisis. International Review of Financial Analysis, 33, 226–242. doi:10.1016/j.irfa.2014.02.013 

12. Chaudhuri, K., Greenwood-Nimmo, M., Kim, M., & Shin, Y. (2013). On the asymmetric u-shaped relationship between inflation, inflation uncertainty and relative price skewness in the UK. Journal of Money, Credit and Banking, 45(7), 1431–1449. doi:10.1111/jmcb.12058 

13. Dang, V., Kim, M., & Shin, Y. (2012). Asymmetric capital structure adjustments: new evidence from dynamic panel threshold models. Journal of Empirical Finance, 19(4), 465–482. doi:10.1016/j.jempfin.2012.04.004