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2191 Results

Trading on Long-term Information

Staff working paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.
April 22, 2004

Research in Financial Services and Public Policy - Filling the Gaps

Remarks David Dodge Conference on Financial Services and Public Policy Schulich School of Business at York University Toronto, Ontario
For five years, the research program here at Schulich has helped to support and nurture a Canadian academic community focused on financial services. In doing so, the program has encouraged researchers to fill the gaps in our knowledge and help policy-makers and regulators to do a better job. After five years, it's useful to think back and recall the motivations for establishing this program in the first place.
June 22, 2005

Estimating the Impact of Monetary Policy Surprises on Fixed-Income Markets

In the interest of better understanding the impact of the Bank of Canada's policy actions on bond and bill yields, Andreou assesses the impact of policy-rate announcements on short and long bonds over the period 1996 to 2004. To aid the analysis, policy actions are decomposed into expected and surprise components. He also examines whether the introduction of fixed announcement dates (FADs) has affected these results, including markets' perceptions. The main finding is that unexpected policy actions by the Bank have a significant effect on market rates at the shorter end of the yield curve, with the effect dissipating as the maturity increases. A second finding, that the impact on longer-term interest rates of a surprise action by the Bank has diminished since the introduction of the FADs, suggests that the Bank's long-term policy goals are well understood and credible.

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.

The Power of Helicopter Money Revisited: A New Keynesian Perspective

Staff discussion paper 2020-1 Thomas J. Carter, Rhys R. Mendes
We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves.

Centralizing Over-the-Counter Markets?

Staff working paper 2021-39 Jason Allen, Milena Wittwer
Would a shift in trading in fixed-income markets—from over the counter (bilateral trading) to a centralized electronic platform—improve welfare? We use trade-level data on the secondary market for Government of Canada debt to answer this question.

Terms-of-Trade and House Price Fluctuations: A Cross-Country Study

Staff working paper 2017-1 Paul Corrigan
Terms-of-trade shocks are known to be key drivers of business cycles in open economies. This paper argues that terms-of-trade shocks were also important for house price fluctuations in a panel of developed countries over the 1994–2015 period.

Communicating Uncertainty in Monetary Policy

Staff discussion paper 2017-14 Sharon Kozicki, Jill Vardy
While central banks cannot provide complete foresight with respect to their future policy actions, it is in the interests of both central banks and market participants that central banks be transparent about their reaction functions and how they may evolve in response to economic developments, shocks, and risks to their outlooks.
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