Text Mining and the Information Content of Bank of Canada Communications
AbstractThis paper uses Latent Semantic Analysis to extract information from Bank of Canada communication statements and investigates what type of information affects returns and volatility in short-term as well as long-term interest rate markets over the 2002-2008 period. Discussions about geopolitical risk and other external shocks, major domestic shocks (SARS and BSE), the balance of risks to the economic projection, and various forward looking statements are found to significantly affect market returns and volatility, especially for short-term markets. This effect is over and above that from the information contained in any policy interest rate surprise.
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Bibliographic InfoPaper provided by Bank of Canada in its series Working Papers with number 10-31.
Length: 53 pages
Date of creation: 2010
Date of revision:
Contact details of provider:
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Web page: http://www.bank-banque-canada.ca/
Financial markets; Monetary policy implementation;
Find related papers by JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-12-04 (All new papers)
- NEP-CBA-2010-12-04 (Central Banking)
- NEP-MON-2010-12-04 (Monetary Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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