Nikita Perevalov

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Staff Analytical Notes

The Complex Adjustment of the Canadian Economy to Lower Commodity Prices

In this analytical note, we provide a comprehensive assessment of the complex structural adjustment facing the Canadian economy following the commodity price decline since mid-2014. We quantify separately the impacts coming from the commodity sector restructuring and the broader effect of significantly lower terms of trade.

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Staff Discussion Papers

The Macroeconomic Implications of Changes in Bank Capital and Liquidity Requirements in Canada: Insights from the BoC-GEM-FIN

Staff Discussion Paper 2010-16 Carlos De Resende, Ali Dib, Nikita Perevalov
The authors use simulations within the BoC-GEM-FIN, the Bank of Canada's version of the Global Economy Model with financial frictions in both the demand and supply sides of the credit market, to investigate the macroeconomic implications of changing bank regulations on the Canadian economy.

Financial Constraints and the Cash-Holding Behaviour of Canadian Firms

Staff Discussion Paper 2008-16 Darcey McVanel, Nikita Perevalov
The proportion of assets held by the average Canadian firm in the form of cash has increased steadily since the early 1990s, and is now roughly twice as large as in 1990. The literature has established that the cash-holding behaviour of firms is highly correlated with financial constraints and firm characteristics.
Content Type(s): Staff research, Staff discussion papers Topic(s): Sectoral balance sheet JEL Code(s): G, G1, G11, G3, G32

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Staff Working Papers

Countercyclical Bank Capital Requirement and Optimized Monetary Policy Rules

Using BoC-GEM-Fin, a large-scale DSGE model with real, nominal and financial frictions featuring a banking sector, we explore the macroeconomic implications of various types of countercyclical bank capital regulations. Results suggest that countercyclical capital requirements have a significant stabilizing effect on key macroeconomic variables, but mostly after financial shocks.

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

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Technical Reports

IMPACT: The Bank of Canada’s International Model for Projecting Activity

We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance.

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