Correlation Between SPDR Russell and Vanguard Mid
Can any of the company-specific risk be diversified away by investing in both SPDR Russell and Vanguard Mid 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 SPDR Russell and Vanguard Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Russell 1000 and Vanguard Mid Cap Value, you can compare the effects of market volatilities on SPDR Russell and Vanguard Mid 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 SPDR Russell with a short position of Vanguard Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Russell and Vanguard Mid.
Diversification Opportunities for SPDR Russell and Vanguard Mid
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SPDR and Vanguard is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Russell 1000 and Vanguard Mid Cap Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Mid Cap and SPDR Russell 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 SPDR Russell 1000 are associated (or correlated) with Vanguard Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Mid Cap has no effect on the direction of SPDR Russell i.e., SPDR Russell and Vanguard Mid go up and down completely randomly.
Pair Corralation between SPDR Russell and Vanguard Mid
Given the investment horizon of 90 days SPDR Russell is expected to generate 1.05 times less return on investment than Vanguard Mid. In addition to that, SPDR Russell is 1.09 times more volatile than Vanguard Mid Cap Value. It trades about 0.09 of its total potential returns per unit of risk. Vanguard Mid Cap Value is currently generating about 0.1 per unit of volatility. If you would invest 13,481 in Vanguard Mid Cap Value on August 28, 2024 and sell it today you would earn a total of 4,096 from holding Vanguard Mid Cap Value or generate 30.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Russell 1000 vs. Vanguard Mid Cap Value
Performance |
Timeline |
SPDR Russell 1000 |
Vanguard Mid Cap |
SPDR Russell and Vanguard Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Russell and Vanguard Mid
The main advantage of trading using opposite SPDR Russell and Vanguard Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Russell position performs unexpectedly, Vanguard Mid 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 Vanguard Mid will offset losses from the drop in Vanguard Mid's long position.SPDR Russell vs. SPDR Russell 1000 | SPDR Russell vs. SPDR MSCI USA | SPDR Russell vs. SPDR SP 400 | SPDR Russell vs. SPDR MSCI EAFE |
Vanguard Mid vs. Vanguard Small Cap Value | Vanguard Mid vs. Vanguard Mid Cap Growth | Vanguard Mid vs. Vanguard Value Index | Vanguard Mid vs. Vanguard Small Cap Growth |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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