1 / 13

Realized Beta: Market vs. Individual stocks

Realized Beta: Market vs. Individual stocks. Angela Ryu Economics 201FS Honors Junior Workshop: Finance Duke University March 17, 2010. Data. S&P 500 TGT, XOM, WMT, IBM, MSFT, AAPL, JPM, GS, C (9 stocks) Aug 20 2004 – Jan 7 2009 (1093 days). Preparation.

gilead
Download Presentation

Realized Beta: Market vs. Individual stocks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Realized Beta: Market vs. Individual stocks Angela Ryu Economics 201FS Honors Junior Workshop: Finance Duke University March 17, 2010

  2. Data • S&P 500 • TGT, XOM, WMT, IBM, MSFT, AAPL, JPM, GS, C (9 stocks) • Aug 20 2004 – Jan 7 2009 (1093 days)

  3. Preparation • Overnight returns are excluded • Beta calculated from: (for βX = Y, X,Y stock prices) • Sampling intervals: 1 to 20 minutes • Beta Calculation intervals: 1 to 50 days • Mean Squared Error calculated for each Beta interval • MSE of GOOG(X) vs. XOM(Y) , 30 days interval?= Average of Squared Errors of each days predicted by using β i.e. ypre_day31 = βday1_30 * xact_day31 SEday31 = (ypre_day31 – yact_day31 )2 ypre_day32 = βday2_31 * xact_day32  SEday32 = (ypre_day32 – yact_day32 )2 … MSE30 = avg(SEday31 ,SEday32 , ... SEday1093 )

  4. Continuing from previous work • Last presentation: MSE of ind. stock vs. ind. stock was plotted and analyzed • Now, plot MSE of S&P 500 vs. ind. stock and see how it changes as the sampling interval (1 to 20 minutes) and Beta calculation interval (1 to 50 days) changes.

  5. SPY vs. JPM (2 min.) Almost linearly increasing

  6. SPY vs. JPM (5 min.)

  7. SPY vs. JPM (10 min.)  Sudden increase in small (1 – 3 days) Beta Cal. interval

  8. SPY vs. JPM (15 min.)

  9. SPY vs. JPM (20 min.) At longer sampling int. (18 ~ 20 min), slope decreases: that is, an additional day in Beta calculation does not increase MSE as much as for the case for shorter (2 – 10 min) sampling int.

  10. Comparing 9 stocks (5 min) TGT WMT XOM GS C JPM AAPL MSFT IBM

  11. Comparing 9 stocks (20 min)

  12. Results • Alike ind. stock vs. ind. stock case, 3 results were found • As the sampling interval increased, MSE spiked up for very short Beta calculation interval (1 – 3 days) • As the sampling interval increased, Slope of MSE flattened. • For relatively long sampling intervals (10 – 20 min) MSE was smallest at 5 – 15 day Beta Calculation interval • MSE plots of 9 stocks are very similar to each other

  13. Questions & Further Steps • What would be possible explanations? If there are any, how should its validity be checked? • Would results from even shorter sampling intervals (1 sec, 30 sec, etc.) show similar results? Any microstructure noise factor?

More Related