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3045 Results

How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections

Staff Discussion Paper 2019-6 Olivier Gervais
We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, International topics JEL Code(s): C, C2, C22, C5, E, E3, E37, Q, Q4, Q43
March 12, 2009

Financial System Policy Responses to the Crisis

Remarks David Longworth Financial Markets Association of Canada Toronto, Ontario
With your professional interests in foreign exchange, money markets, capital markets, and derivatives, I'm sure the past year and a half has been exciting and interesting – if those are the right words. We've been living through a period of astonishing financial turbulence, historic marketplace losses, and serious threats to financial stability.

A Simple Method for Extracting the Probability of Default from American Put Option Prices

Staff Working Paper 2020-15 Bo Young Chang, Greg Orosi
A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default.

On-the-run Premia, Settlement Fails, and Central Bank Access

Staff Working Paper 2025-19 Fabienne Schneider
The premium on “on-the-run” Treasuries is an anomaly. I explain it using a model in which primary dealers hold inventories of Treasuries. I use the model to analyze the effects of granting access to central bank facilities.

Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns

Staff Working Paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba
Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.

Labor Market Participation, Unemployment and Monetary Policy

Staff Working Paper 2014-9 Alessia Campolmi, Stefano Gnocchi
We incorporate a participation decision in a standard New Keynesian model with matching frictions and show that treating the labor force as constant leads to incorrect evaluation of alternative policies.
February 21, 2013

The G-20 Framework for Strong, Sustainable and Balanced Growth: Macroeconomic Coordination Since the Crisis

Since 2009, the G-20 Framework for Strong, Sustainable and Balanced Growth has provided a mechanism for international macroeconomic policy coordination. The Framework has had some successes, including agreement on objectives for fiscal consolidation. However, post-crisis global growth has been neither strong nor balanced. Progress has also been slow in developing credible fiscal consolidation plans in some advanced countries and in increasing exchange rate flexibility in certain emerging economies. A stronger peer review process and enhanced analysis of international spillovers would increase the Framework’s influence on member policies.

Merchant Acceptance, Costs, and Perceptions of Retail Payments: A Canadian Survey

Staff Discussion Paper 2008-12 Carlos Arango, Varya Taylor
Using the results of a survey on accepted means of payment, the authors examine merchant preferences and perceptions of retail payment reliability, risk, and costs; the share of each type of payment method over total sales; and the costs involved in accepting payments.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes JEL Code(s): E, E4, E41, L, L2

Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers

Staff Working Paper 2021-37 Felix Brunner, Ruben Hipp
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.
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