Xiangjin Shen

Author

Staff analytical notes

How well can large banks in Canada withstand a severe economic downturn?

Staff Analytical Note 2022-6 Andisheh (Andy) Danaee, Harsimran Grewal, Brad Howell, Guillaume Ouellet Leblanc, Xuezhi Liu, Mayur Patel, Xiangjin Shen
We examine the potential impacts of a severe economic shock on the resilience of major banks in Canada. We find these banks would suffer significant financial losses but nevertheless remain resilient. This underscores the role well-capitalized banks and sound underwriting practices play in supporting economic activity in a downturn.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G1, G2, G21, G23

Assessing the Resilience of the Canadian Banking System

Staff Analytical Note 2019-16 Charles Gaa, Xuezhi Liu, Cameron MacDonald, Xiangjin Shen
The stability of the Canadian financial system, as well as its ability to support the Canadian economy, depends on the ability of financial institutions to absorb and manage major shocks. This is especially true for large banks, which perform services essential to the Canadian economy.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, E, E2, E27, E3, E37, E4, E44, G, G0, G01, G2, G21

Modelling the Macrofinancial Effects of a House Price Correction in Canada

Staff Analytical Note 2018-36 Thibaut Duprey, Xuezhi Liu, Cameron MacDonald, Maarten van Oordt, Sofia Priazhkina, Xiangjin Shen, Joshua Slive
We use a suite of risk-assessment models to examine the possible impact of a hypothetical house price correction, centred in the Toronto and Vancouver areas. We also assume financial stress significantly amplifies the macroeconomic impact of the house price decline.
Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability, Housing JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G2, G21

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Staff working papers

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

Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement

Staff Working Paper 2018-21 Elena Goldman, Xiangjin Shen
We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G1, G19, G2, G23, G28

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Technical reports

Assessing Climate-Related Financial Risk: Guide to Implementation of Methods

Technical Report No. 120 Hossein Hosseini, Craig Johnston, Craig Logan, Miguel Molico, Xiangjin Shen, Marie-Christine Tremblay
A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.
Content Type(s): Staff research, Technical reports Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32

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Bank publications

Financial System Hub articles

November 14, 2018

Financial System Resilience and House Price Corrections

Thibaut Duprey, Xuezhi Liu, Cameron MacDonald, Maarten van Oordt, Sofia Priazhkina, Xiangjin Shen, Joshua Slive, Virginie Traclet
We use models to better understand and assess how risks could affect the financial system. In our hypothetical scenario, a house price correction and elevated financial stress weigh on the economy. An increased number of households and businesses have difficulty repaying loans. Nonetheless, the large banks remain resilient.
Content Type(s): Publications, Financial System Hub articles

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