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276 Results

Good Volatility, Bad Volatility and Option Pricing

Staff working paper 2017-52 Bruno Feunou, Cédric Okou
Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions.

The Impacts of Monetary Policy Statements

Staff analytical note 2017-22 Bruno Feunou, Corey Garriott, James Kyeong, Raisa Leiderman
In this note, we find that market participants react to an unexpected change in the tone of Canadian monetary policy statements. When the market perceives that the Bank of Canada plans to tighten (or alternatively, loosen) the monetary policy earlier than previously expected, the Canadian dollar appreciates (or depreciates) and long-term Government of Canada bond yields increase (or decrease). The tone of a statement is particularly relevant to the market when the policy rate has been unchanged for some time.

Identifying the Degree of Collusion Under Proportional Reduction

Staff working paper 2017-51 Oleksandr Shcherbakov, Naoki Wakamori
Proportional reduction is a common cartel practice in which cartel members reduce their output proportionately. We develop a method to quantify this reduction relative to a benchmark market equilibrium scenario and relate the reduction to the traditional conduct parameter.

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.

Digitalization and Inflation: A Review of the Literature

In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels.

Digital Transformation in the Service Sector: Insights from Consultations with Firms in Wholesale, Retail and Logistics

Staff analytical note 2017-19 Wei Dong, James Fudurich, Lena Suchanek
Firms increasingly rely on digital technologies such as e-commerce, cloud computing, big data, digital tracking and digital platforms that are reshaping business operations, business models and market structures. In this context, the Bank of Canada consulted with firms in wholesale, retail and logistics, as well as with related industry associations to yield insights on the adoption of digital technologies.

Complementing the Credit Risk Assessment of Financial Counterparties with Market-Based Indicators

Staff analytical note 2017-15 Guillaume Ouellet Leblanc, Maarten van Oordt
The Bank’s internal credit risk assessment abilities are regularly enhanced. In this note, we present a recent innovation that extends the set of market-based indicators used in the credit risk assessment of financial counterparties.

Measuring Limits of Arbitrage in Fixed-Income Markets

Staff working paper 2017-44 Jean-Sébastien Fontaine, Guillaume Nolin
We use relative value to measure limits to arbitrage in fixed-income markets. Relative value captures apparent deviations from no-arbitrage relationships. It is simple, intuitive and can be computed model-free for any bond.

Global Trade Flows: Revisiting the Exchange Rate Elasticities

This paper contributes to the debate on the magnitude of exchange rate elasticities by providing a set of price and quantity elasticities for 51 advanced and emerging-market economies. Specifically, for each of these countries we report the elasticity of trade prices and trade quantities on both the export and on the import sides, as well as the reaction of the trade balance.

A Counterfactual Valuation of the Stock Index as a Predictor of Crashes

Staff working paper 2017-38 Tom Roberts
Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes).
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