The Taylor Rule and Financial Derivatives: The Case of Options
Chiara Oldani
Chapter 4 in Advances in Monetary Policy and Macroeconomics, 2007, pp 50-65 from Palgrave Macmillan
Abstract:
Abstract Modern macroeconomics considers the role of financial assets when modelling the behaviour of agents, policy implementing and transmission mechanisms. Financial innovation emerges in markets and exploits new opportunities, giving rise to (new) profits. The most significant financial innovations of the last thirty years have been in the area of derivatives (futures, options, swaps and forwards). The amount of derivatives trading is steadily growing on both exchange traded (ET) markets and OTC, and it is this growth that accounts for the present interest in these areas. According to BIS data, the ratio between the notional amount outstanding of derivatives (exchange traded and OTC) and world GDP was equal to 3.73 in 2001 and to 6.68 in 2004. Options are by far the most common derivatives contracts in ET markets. The role of derivatives in asset pricing is widely known and accepted. Here I shall start from their economic functions (leverage, substitutability, hedging) (Savona, 2003) in order to conduct further macroeconomic analysis.
Keywords: Interest Rate; Monetary Policy; Federal Reserve; Implied Volatility; Policy Rule (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-0-230-80076-2_4
Ordering information: This item can be ordered from
http://www.palgrave.com/9780230800762
DOI: 10.1057/9780230800762_4
Access Statistics for this chapter
More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().