Credit risk management

• Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

  Staff Working Paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li

  We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1

• Potential netting benefits from expanded central clearing in Canada’s fixed-income market

  Staff Analytical Note 2022-8 Jessie Ziqing Chen, Johannes Chen, Shamarthi Ghosh, Manu Pandey, Adrian Walton

  We assess whether more central clearing would enhance the resilience of Canadian fixed-income markets. Our analysis estimates the potential benefits of balance sheet netting under scenarios where central clearing is expanded to new participants.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit risk management, Financial institutions, Financial markets JEL Code(s): D, D4, G, G1, G12, G2, G21, G29