E27 - Forecasting and Simulation: Models and Applications
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The Framework for Risk Identification and Assessment
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks). -
Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?
The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017. -
Alternative Scenario to the October 2017 MPR Base-Case Projection: Higher Potential Growth
We construct an alternative scenario in which trend labour input and business investment are stronger than that expected in the Bank of Canada’s base-case projection in the October 2017 Monetary Policy Report. -
Implementing Cross-Border Interbank Lending in BoC-GEM-FIN
BIS interbank lending data show that the Great Recession generated large and persistent changes in the international interbank lending positions of various countries. The main objective of this study is to understand the role of changes in international interbank credit flows in transmitting shocks across borders. -
The Case of Serial Disappointment
Similar to those of other forecasters, the Bank of Canada’s forecasts of global GDP growth have shown persistent negative errors over the past five years. This is in contrast to the pre-crisis period, when errors were consistently positive as global GDP surprised to the upside. All major regions have contributed to the forecast errors observed since 2011, although the United States has been the most persistent source of notable errors. -
Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models
This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy. -
Extending the Labour Market Indicator to the Canadian Provinces
Calculating the labour market indicator (LMI) at the provincial level provides useful insights into Canada’s regional economies and reveals differing trends in the state of underlying labour market conditions across provinces. Conclusions based on the Canadian LMI do not necessarily translate to the provinces. In most cases, the correlations between the provincial LMIs and the underlying labour market variables have the expected sign. -
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. -
The Propagation of Industrial Business Cycles
This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling.
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