Forecasting the FTSE 100 with high-frequency data: A comparison of realized measures (not a question)
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Reference page for the FEX submission related to my Dissertation (MSc in Finance & Economics 2010/11)
LINKS
Link to the paper on SSRN: Forecasting the FTSE 100 with high-frequency data: A comparison of realized measures
STATS
Some stats from SSRN on my paper (using Trendy: http://www.mathworks.com/matlabcentral/trendy/plots/741)
CONTENT OF SUBMISSION
Brief contents of the submission:
- 20110916_Dis.m
- bp.m
- fltmedian.m
- fltout.m
- fltprice.m
- realized_...m
where the dots after realized_ indicate that there are several realized measures: var, semivar, bpv, tbpv, tripv.
The private folder contains:
Other needed submissions
FUNCTION TODO LIST
- Implement the corrected realized_tbpv.
ANALYSIS TODO LIST
- Add Model Confidence Set stats (from 2010 Hansen, Lunde, Nason - The Model Confidence Set - WP)
- Add economic measures of forecasting performance (such as Sharpe Ratio etc...)
KNOWN ISSUES
- If a day has a whole (missing data) filtret.m does not pad the previous observation as it should under 'CalendarTime', 'Last'. In my analysis the problem occurs only a couple of times which are excluded during the cleaning of the data.
HISTORY
- 01 Oct 2011, 17:08 BST - Submitted to the FEX
- 17 Feb 2012, 13:04 BST - Edited description of this page and added trendy plot.
Feedback of ANY kind is welcome.
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