Correlation Between Dow Jones and SPDR Series
Can any of the company-specific risk be diversified away by investing in both Dow Jones and SPDR Series at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Dow Jones and SPDR Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and SPDR Series Trust, you can compare the effects of market volatilities on Dow Jones and SPDR Series and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Dow Jones with a short position of SPDR Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and SPDR Series.
Diversification Opportunities for Dow Jones and SPDR Series
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and SPDR is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and SPDR Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Series Trust and Dow Jones is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Dow Jones Industrial are associated (or correlated) with SPDR Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Series Trust has no effect on the direction of Dow Jones i.e., Dow Jones and SPDR Series go up and down completely randomly.
Pair Corralation between Dow Jones and SPDR Series
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the SPDR Series. In addition to that, Dow Jones is 67.56 times more volatile than SPDR Series Trust. It trades about -0.01 of its total potential returns per unit of risk. SPDR Series Trust is currently generating about 1.29 per unit of volatility. If you would invest 9,846 in SPDR Series Trust on December 28, 2024 and sell it today you would earn a total of 97.00 from holding SPDR Series Trust or generate 0.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. SPDR Series Trust
Performance |
Timeline |
Dow Jones and SPDR Series Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
SPDR Series Trust
Pair trading matchups for SPDR Series
Pair Trading with Dow Jones and SPDR Series
The main advantage of trading using opposite Dow Jones and SPDR Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, SPDR Series can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SPDR Series will offset losses from the drop in SPDR Series' long position.Dow Jones vs. PennantPark Investment | Dow Jones vs. Western Asset Investment | Dow Jones vs. Yoshitsu Co Ltd | Dow Jones vs. Black Hills |
SPDR Series vs. WisdomTree Floating Rate | SPDR Series vs. iShares 0 3 Month | SPDR Series vs. SPDR Bloomberg 1 3 | SPDR Series vs. iShares Treasury Floating |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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