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2188 Results

Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences

Staff working paper 2017-4 Radoslav Raykov
Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker.
May 15, 1999

Recent developments in the monetary aggregates and their implications

In its conduct of monetary policy, the Bank of Canada carefully monitors the pace of monetary expansion for indications about the outlook for inflation and economic activity. In recent years, a number of factors have distorted the growth of the traditional broad and narrow aggregates. In this article, the authors discuss the uncertainty surrounding the classification of deposit instruments that has resulted from the elimination of reserve requirements and from other financial innovations. They introduce two new measures of transactions balances, M1+ and M1++ (described more fully in a technical note in this issue of the Review), that internalize some of the substitutions that have occurred. They attribute the deceleration in M1 growth in 1998 partly to the declining influence of special factors, partly to a lagged response to interest rate increases in 1997 and early 1998, and partly to some temporary tightening in credit conditions in the autumn of 1998. The broad monetary aggregate M2++, which includes all personal savings deposits, life insurance annuities, and mutual funds, grew at a steady pace in 1998, presaging growth of about 4 to 5 per cent in total dollar spending and inflation inside the target range.

Does Outward Foreign Investment Matter for Canadian Productivity? Evidence from Greenfield Investments

Staff working paper 2018-31 Naveen Rai, Lena Suchanek, Maria Bernier
This paper seeks to understand how outward foreign direct investment (FDI) affects the productivity of Canadian firms. We estimate the impact of outward greenfield investment on measures of firm-level productivity using FDI data from roughly 2,000 Canadian firms and more than 4,000 outward FDI projects over the 2003–14 period.
May 13, 2014

Measuring Uncertainty in Monetary Policy Using Realized and Implied Volatility

Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E5, E52, E58
May 11, 1996

Recent developments in monetary aggregates and their implications

In 1995, the broad aggregate M2+ grew at an annual rate of 4.5 per cent—almost twice the rate recorded in 1994—as competition from mutual funds drew less money from personal savings deposits. An adjusted M2+ aggregate, which internalizes the effect of close substitutes such as CSBs and certain mutual funds, grew by only 3.4 per cent. Gross M1 grew by 8.2 per cent during the year, reflecting an increased demand for transactions balances as market interest rates declined and as banks offered more attractive rates of interest on corporate current account balances. The robust growth of gross M1 in the second half of 1995 suggests a moderate expansion of economic activity in the first half of 1996, while moderate growth in the broad aggregates indicates a rate of monetary expansion consistent with continued low inflation. In this annual review of the monetary aggregates, the authors also introduce a new model, based on calculated deviations of M1 from its long-run demand, which suggests that inflation should remain just below the midpoint of the inflation-control target range over the next couple of years.

Capital-Goods Imports and US Growth

Staff working paper 2018-1 Michele Cavallo, Anthony Landry
Capital-goods imports have become an increasing source of growth for the U.S. economy. To understand this phenomenon, we build a neoclassical growth model with international trade in capital goods in which agents face exogenous paths of total factor and investment-specific productivity measures.

Fire Sales and Liquidity Requirements

Staff working paper 2024-18 Yuteng Cheng, Roberto Robatto
We study liquidity requirements in a framework with fire sales. The framework nests three common pricing mechanisms and produces the same observables. Absent risk-sharing considerations, the equilibrium is efficient with cash-in-the-market pricing; a liquidity requirement is optimal with second-best-use pricing; and a liquidity ceiling (i.e., a cap on liquid assets) is optimal with adverse selection.

Is This Normal? The Cost of Assuming that Derivatives Have Normal Returns

Staff working paper 2024-46 Radoslav Raykov
Derivatives exchanges often determine collateral requirements, which are fundamental to market safety, with dated risk models assuming normal returns. However, derivatives returns are heavy-tailed, which leads to the systematic under-collection of collateral (margin). This paper uses extreme value theory (EVT) to evaluate the cost of this margin inadequacy to market participants in the event of default.

Risk Amplification Macro Model (RAMM)

Technical report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

Measuring the AI Economy

Staff working paper 2026-20 Anton Korinek, Patrick McKelvey
We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.
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