Correlation Between Schwab Total and Wilshire 5000
Can any of the company-specific risk be diversified away by investing in both Schwab Total and Wilshire 5000 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 Schwab Total and Wilshire 5000 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schwab Total Stock and Wilshire 5000 Index, you can compare the effects of market volatilities on Schwab Total and Wilshire 5000 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 Schwab Total with a short position of Wilshire 5000. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schwab Total and Wilshire 5000.
Diversification Opportunities for Schwab Total and Wilshire 5000
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Schwab and Wilshire is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Schwab Total Stock and Wilshire 5000 Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilshire 5000 Index and Schwab Total 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 Schwab Total Stock are associated (or correlated) with Wilshire 5000. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilshire 5000 Index has no effect on the direction of Schwab Total i.e., Schwab Total and Wilshire 5000 go up and down completely randomly.
Pair Corralation between Schwab Total and Wilshire 5000
Assuming the 90 days horizon Schwab Total Stock is expected to generate 1.02 times more return on investment than Wilshire 5000. However, Schwab Total is 1.02 times more volatile than Wilshire 5000 Index. It trades about 0.13 of its potential returns per unit of risk. Wilshire 5000 Index is currently generating about 0.13 per unit of risk. If you would invest 8,097 in Schwab Total Stock on August 25, 2024 and sell it today you would earn a total of 2,083 from holding Schwab Total Stock or generate 25.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Schwab Total Stock vs. Wilshire 5000 Index
Performance |
Timeline |
Schwab Total Stock |
Wilshire 5000 Index |
Schwab Total and Wilshire 5000 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schwab Total and Wilshire 5000
The main advantage of trading using opposite Schwab Total and Wilshire 5000 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schwab Total position performs unexpectedly, Wilshire 5000 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 Wilshire 5000 will offset losses from the drop in Wilshire 5000's long position.Schwab Total vs. Us Real Estate | Schwab Total vs. Commonwealth Real Estate | Schwab Total vs. Jhancock Real Estate | Schwab Total vs. Dunham Real Estate |
Wilshire 5000 vs. Wilshire 5000 Index | Wilshire 5000 vs. Schwab Total Stock | Wilshire 5000 vs. Vanguard Russell 3000 | Wilshire 5000 vs. iShares Russell 3000 |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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