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. Content Type(s): Staff research, Staff analytical notes Topic(s): Asset pricing, Exchange rates, Interest rates, Monetary policy communications, Monetary policy transmission JEL Code(s): E, E4, E43, E5, E52, F, F3, F31, G, G1, G12
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 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
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. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, International financial markets JEL Code(s): G, G1, G12
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). Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial stability JEL Code(s): G, G0, G01, G1, G12, G17, G19
Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions Staff Working Paper 2017-33 Antonio Diez de los Rios This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Exchange rates, Interest rates JEL Code(s): E, E4, E43, F, F3, F31, G, G1, G12, G15
June 28, 2017 Markets Calling: Intelligence Gathering at the Bank of Canada Remarks Lynn Patterson CFA Society Calgary Calgary, Alberta Deputy Governor Lynn Patterson discusses how the Bank gathers financial market intelligence and what it is learning. Content Type(s): Press, Speeches and appearances, Remarks Topic(s): Asset pricing, Credit and credit aggregates, Financial markets, Financial system regulation and policies, Monetary and financial indicators, Recent economic and financial developments
Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects Staff Working Paper 2017-10 Sermin Gungor, Richard Luger We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C3, C32, G, G1, G14
What Fed Funds Futures Tell Us About Monetary Policy Uncertainty Staff Working Paper 2016-61 Jean-Sébastien Fontaine The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13
Equity Option-Implied Probability of Default and Equity Recovery Rate Staff Working Paper 2016-58 Bo Young Chang, Greg Orosi There is a close link between prices of equity options and the default probability of a firm. We show that in the presence of positive expected equity recovery, standard methods that assume zero equity recovery at default misestimate the option-implied default probability. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Financial markets, Market structure and pricing JEL Code(s): G, G1, G13, G3, G33
On the Value of Virtual Currencies Staff Working Paper 2016-42 Wilko Bolt, Maarten van Oordt This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Digital currencies and fintech, Exchange rates JEL Code(s): E, E4, E42, E5, E51, F, F3, F31, G, G1