| Machine learning techniques and use of event information for stock market prediction: A survey and evaluation PD Yoo, MH Kim, T Jan International Conference on Computational Intelligence for Modelling …, 2005 | 189 | 2005 |
| Effect of corporate tax avoidance activities on firm bankruptcy risk A Dhawan, L Ma, MH Kim Journal of Contemporary Accounting & Economics 16 (2), 100187, 2020 | 71 | 2020 |
| Information asymmetry and investor trading behavior around bond rating change announcements H Yang, HJ Ahn, MH Kim, D Ryu Emerging Markets Review 32, 38-51, 2017 | 58 | 2017 |
| Macroeconomic shocks and stock market returns: The case of Korea E Yang, SH Kim, MH Kim, D Ryu Applied Economics 50 (7), 757-773, 2018 | 48 | 2018 |
| Survival prediction of distressed firms: Evidence from the Chinese special treatment firms MHY Kim, S Ma, YA Zhou Journal of the Asia Pacific Economy 21 (3), 418-443, 2016 | 34* | 2016 |
| Dynamic forecasts of financial distress of Australian firms MH Kim, G Partington Australian Journal of Management 40 (1), 135-160, 2015 | 32 | 2015 |
| Financial forecasting: advanced machine learning techniques in stock market analysis PD Yoo, MH Kim, T Jan 2005 Pakistan Section Multitopic Conference, 1-7, 2005 | 21 | 2005 |
| The effect of international strategic alliances on firm performance before and after the global financial crisis D Ryu, MH Kim, D Ryu Emerging Markets Finance and Trade 55 (15), 3539-3552, 2019 | 19 | 2019 |
| Effects of intraday weather changes on asset returns and volatilities H Shim, MH Kim, D Ryu Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i …, 2017 | 18 | 2017 |
| Corporate governance and earnings management: Evidence from Vietnamese listed firms Q Nguyen, MH Kim, S Ali International Review of Economics & Finance 89, 775-801, 2024 | 12 | 2024 |
| Herding and China's market-wide circuit breaker X Wang, MH Kim, S Suardi Journal of Banking & Finance 141, 106533, 2022 | 10 | 2022 |
| A later menopausal age is associated with a lower prevalence of physical frailty in community-dwelling older adults: The Korean Frailty and Aging Cohort Study (KFACS) Y Lee, S Kim, M Kim, BS Kim, E Jeong, H Shim, CW Won Archives of gerontology and geriatrics 91, 104243, 2020 | 10 | 2020 |
| Modeling bankruptcy prediction using Cox regression model with time-varying covariates G Partington, MH Kim Available at SSRN 1101876, 2008 | 7 | 2008 |
| Risk factors for suboptimal drug concentration of posaconazole oral suspension in patients with hematologic malignancy EJ Kim, KS Yu, SH Na, EY Nam, HS Oh, M Kim, SH Yoon, JO Lee, Y Koh, ... Journal de Mycologie Médicale 27 (4), 539-542, 2017 | 6 | 2017 |
| A semiparametric model approach to financial bankruptcy prediction MH Kim, PD Yoo 2006 IEEE International Conference on Engineering of Intelligent Systems, 1-6, 2006 | 6 | 2006 |
| Structure and Multiferroic Properties of V-doped Bi6Fe2Ti3O18 Thin Films Prepared by Chemical Solution Deposition HJ Kim, JW Kim, EJ Kim, JY Choi, CM Raghavan, WJ Kim, MH Kim, ... Ferroelectrics 465 (1), 68-75, 2014 | 5 | 2014 |
| The dynamic prediction of company failure-the influence of time, the economy and non-linearity MHY Kim University of Sydney., 2011 | 5 | 2011 |
| The dynamic prediction of company failure MH Kim, G Partington 21st Australasian Finance and Banking Conference, 2008 | 5 | 2008 |
| Machine learning methods for equity time series forecasting: A compendium A Matuozzo, P Yoo, A Provetti, M Kim | 2 | 2022 |
| Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction T Jan, M Kim Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 2 | 2005 |
