Abstract:
With the aggravation of the stock market volatility, the margin trading and securities lending business of security firm is facing a stringent challenge and the demand of credit risk measurement. As the fundamental of credit risk measurement, the measurement of probability of default is meaningful for the customer access management, risk pricing and credit portfolio management. The paper studies measurement of default of probability for individual client in margin trading and securities lending business firstly by Probit, Logistic and Extreme Value model. The history of margin trading and securities lending business is short, data accumulation and management is not perfect yet. In this situation, the paper included the information of asset-debt structure of credit account, and tested the accuracy by ROC curve and Brier score, which proved that the high precision of all three models, but Extreme Value model has higher adaptability for measuring of margin trading and security lending business than other models.
程天笑, 闻岳春. 融资融券业务个人客户违约概率计量研究[J]. 金融研究, 2016, 430(4): 174-189.
CHENG Tianxiao, WEN Yuechun. Probability of Default Measurement Study for Individual Client of MarginTrading and Securities Lending Business. Journal of Financial Research, 2016, 430(4): 174-189.
Allen, Franklin, and Gale Douglas. 1991. “Arbitrage, Short Sales and Financial Innovation”, Econometrica, 59(4): 1041~1068.
[10]
Angilella, Silvia., and Mazzù Sebastiano. 2015. “The financing of innovative SMEs: A Multicriteria Credit Rating Model”, European Journal of Operational Research, Article in Press.
[11]
Bris, Arturo, William N. Goetzmann, and Ning Zhu. 2007. “Efficiency and the Bear: Short Sales and Market around the World”, Journal of Finance, 62(3): 1029~1079.
[12]
Campbell, John.Y., Hilscher Jeans, and Szilagyi Jan. 2008. “In Search of Distress Risk”, Journal of Finance, 63(6): 2899~2939.
[13]
Chang, Eric C., Joseph W. Cheng, and Yinghui Yu. 2007. “Short Sales Constrains and Price Discovery: Evidence from the Hong Kong Market”, Journal of Finance, 62(5): 2097~2121.
[14]
Chang, Eric C., Yan Luo, and Jinjuan Ren. 2014. “Short-selling, Margin-trading, and Price Efficiency: Evidence from the Chinese Market”, Journal of Banking & Finance, 48: 411~424.
[15]
Collin-Dufresne, Pierre, and Robert S. Goldstein. 2001. “Do Credit Spreads Reflect Stationary Leverage Ratios?”, Journal of Finance, 56(5): 1929~1957.
[16]
Danenas, Paulius, and Gitautas Garsva. 2015. “Selection of Support Vector Machines Based Classifiers for Credit Risk Domain”, Expert Systems with Applications, 42(6): 3194~3204.
[17]
Dereliogˇlu, Gülnur, and Fikret Gürgen. 2011. “Knowledge Discovery Using Neural Approach for SME’s Credit Risk Analysis Problem in Turkey”, Expert Systems with Applications, 38(8): 9313~9318.
[18]
Diamond, Douglas W., and Robert E. Verrecchia. 1987. “Constraints on Short Selling and Asset Price Adjustment to Private Information”, Journal of Financial Economics, 18(2): 277~311.
[19]
Doumpos, M., K. Kosmidou, G. Baourakis, and C. Zopounidis. 2002. “Credit Risk Assessment Using a Multicriteria Hierarchical Discrimination Approach: A Comparative Analysis”, European Journal of Operational Research, 138(2): 392~412.
[20]
Duffie, Darrell, and Kenneth J. Singleton. 1999. “Modeling Term Structures of Defaultable Bonds", Review of Financial Studies, 12(4): 687~720.
[21]
Fiordelisi, Franco, and David Marqués-Ibanez. 2013. “Is Bank Default Risk Systematic?”, Journal of Banking & Finance, 37(6): 2000~2010.
[22]
Goldstein, Itay, and Alexander Guembel. 2008. “Manipulation and the Allocational Role of Prices”, Review of Economic Studies, 75(1): 133~164.
[23]
Hong, Harrison, and Jeremy C. Stein. 2003. “Differences of Opinion, Short-sales Constraints and Market Crashes”, Review of Financial Studies, 16(2): 487~525.
[24]
Jarrow, Robert A., and Stuart M. Turnbull. 1995. “Pricing Derivatives on Financial Securities Subject to Default Risk”, Journal of Finance, 50(1): 53~85.
[25]
Lando, David. 1998. “On Cox Processes and Credit -risky Securities”, Review of Derivatives Research, 2(2):99~120.
[26]
Leland, Hayne E., and Klaus B. Toft. 1996. “Optimal Capital Structure, Endogenous Bankruptcy and the Term Structure of Credit Spreads”, Journal of Finance, 51(3): 987~1019.
[27]
Merton, Robert C.. 1974. “On the Pricing of Corporate Debt: The Risk Structure of Interest Rates”, Journal of Finance, 29(2): 449~470.
[28]
Miller, Edward M.. 1977. “Risk, Uncertainty and Divergence of Option”, Journal of Finance, 32(4): 1151~1168.
[29]
Stein, Roger M.. 2005. “The Relationship between Default Prediction and Lending Profits: Integrating ROC Analysis and Loan Pricing”, Journal of Banking & Finance, 29(5): 1213~1236.
[30]
Tian, Shaonan, Yan Yu, and Hui Guo. 2015. “Variable Selection and Corporate Bankruptcy Forecasts”, Journal of Banking & Finance, 52: 89~100.
[31]
Yu, Lean, Wuyi Yue, Shouyang Wang, and K.K. Lai. 2010. “Support Vector Machine Based Multiagent Ensemble Learning for Credit Risk Evaluation”, Expert Systems with Applications, 37(2): 1351~1360.
[32]
Zhao, Zhongkuang, Shuqi Li, and Heping Xiong. 2014. “Short Sale Constraints, Disperse Pessimistic Beliefs and Market Efficiency— Evidence from the Chinese Stock Market”, Economic Modelling, 42: 333~342.