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3046 Results

Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks

Staff Discussion Paper 2017-10 Meyer Aaron, Francisco Rivadeneyra, Samantha Sohal
We investigate the risks and opportunities to the mandates of central banks arising from fintech developments.

On the Tail Risk Premium in the Oil Market

Staff Working Paper 2017-46 Reinhard Ellwanger
This paper shows that changes in market participants’ fear of rare events implied by crude oil options contribute to oil price volatility and oil return predictability. Using 25 years of historical data, we document economically large tail risk premia that vary substantially over time and significantly forecast crude oil futures and spot returns.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C53, C58, D, D8, D84, E, E4, E44, G, G1, G12, G13, Q, Q4, Q43
August 15, 2001

Analyzing the Monetary Aggregates

In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Monetary aggregates

Anchored Inflation Expectations: What Recent Data Reveal

Staff Working Paper 2025-5 Olena Kostyshyna, Isabelle Salle, Hung Truong
We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices JEL Code(s): D, D8, D84, E, E3, E31, E7, E70

Unsecured Debt, Consumer Bankruptcy, and Small Business

Staff Working Paper 2008-5 Césaire Meh, Yaz Terajima
In this paper we develop a quantitative model of entrepreneurial activity (risk-taking) and consumer bankruptcy choices and use the model to study the effects of bankruptcy regulations on entrepreneurial activity, bankruptcy rate and welfare.

Are Bygones not Bygones? Modeling Price Level Targeting with an Escape Clause and Lessons from the Gold Standard

Staff Working Paper 2008-27 Paul Masson, Malik Shukayev
Like the gold standard, price level targeting (PT) involves not letting past deviations of inflation be bygones; both regimes return the price level (or price of gold) to its target. The experience of suspension of the gold standard in World War I, resumption in the 1920s (for some countries at a different parity), and final abandonment is reviewed.
Content Type(s): Staff research, Staff working papers Research Topic(s): Credibility, Monetary policy framework JEL Code(s): E, E3, E31, E5, E52
June 9, 2010

Crude Oil Futures: A Crystal Ball?

Based on recent research, this article discusses three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil. First, the response of the oil-futures curve can be used to identify the persistence of oil-price shocks and to obtain an indicator of the rate at which they will diminish. Second, the spread between the current futures price and the spot price of oil can be interpreted as an indicator of the precautionary demand for oil. Third, because oil-futures prices are volatile, forecasts of the future spot price of oil using futures prices should be supplemented with other information to improve their accuracy.
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