Text Mining and the Information Content of Bank of Canada Communications
Scott Hendry () and
Staff Working Papers from Bank of Canada
This 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.
Keywords: Financial markets; Monetary policy implementation (search for similar items in EconPapers)
JEL-codes: G14 E58 (search for similar items in EconPapers)
Pages: 53 pages
New Economics Papers: this item is included in nep-cba and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bca:bocawp:10-31
Access Statistics for this paper
More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().