ElasticSearch Score: 10.147071
This paper proposes a novel methodology for identifying episodes of strong capital flows based on a regime-switching model. In comparison with the existing literature, a key advantage of our methodology is to estimate capital flow regimes without the need for context- and sample-specific assumptions.
ElasticSearch Score: 9.545937
During downturns, workers get stuck in low-productivity jobs and wages remain stagnant. I build an heterogenous agent incomplete market model with a full job ladder that accounts for these facts. An adverse financial shock calibrated to the US Great Recession replicates the period’s slow recovery and missing disinflation.
ElasticSearch Score: 9.514471
The Boc–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. The 2020 edition includes a new section examining the scale of domestic arrears in 2018.
ElasticSearch Score: 9.512001
ElasticSearch Score: 9.232637
Building on the shift-share analysis of Barnett and Charbonneau (2015), this note decomposes Canada’s market shares in the United States, Europe and China for imports of non-energy goods into competitiveness, preference shifts and an interaction term. We find that, despite the depreciation of the dollar, Canada continued to lose market share over 2014–17 (around 0.4 percentage points lost per year on average over four years).
ElasticSearch Score: 9.198222
This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state.
ElasticSearch Score: 9.125916
When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance.
ElasticSearch Score: 8.935896
August 11, 1996
This article compares different measures of real short-term interest rates for Canada over the period from 1956 to 1995. A new measure for the expected real interest rate is constructed using a proxy for inflation expectations that is based on the properties of past inflation. The history of inflation in Canada suggests that the characteristics of inflation have changed considerably over time. Past inflation can be characterized by three different types of behaviour: an environment in which average inflation is low and shocks to inflation have only temporary effects; an environment of moderate inflation with more persistent disturbances; and an environment of drifting inflation in which shocks have permanent effects on the level of inflation. The proxy for inflation expectations uses a statistical model, called a Markov Switching Model, to take account of changes in the behaviour of inflation over time.
It is found that uncertainty about the changing characteristics of inflation behaviour leads to uncertainty about estimates of inflation expectations and thus about measures of real interest rates. Target ranges for keeping inflation low should help reduce the uncertainty about inflation behaviour. The behaviour of inflation and interest rates suggests that the credibility of the Bank of Canada's inflation-control objectives is growing. This should reduce inflation uncertainty and lead to lower nominal interest rates over time.
ElasticSearch Score: 8.894373
We use a small open economy model with overlapping generations to evaluate secular dynamics of the neutral rate in Canada from 1980 to 2018. We find that changes in both foreign and domestic factors resulted in a protracted decline in the neutral rate.
ElasticSearch Score: 8.844412
This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.