Correlation Between MicroSectors FANG and Schwab Long
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and Schwab Long 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 MicroSectors FANG and Schwab Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors FANG Index and Schwab Long Term Treasury, you can compare the effects of market volatilities on MicroSectors FANG and Schwab Long 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 MicroSectors FANG with a short position of Schwab Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and Schwab Long.
Diversification Opportunities for MicroSectors FANG and Schwab Long
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MicroSectors and Schwab is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and Schwab Long Term Treasury in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schwab Long Term and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with Schwab Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schwab Long Term has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and Schwab Long go up and down completely randomly.
Pair Corralation between MicroSectors FANG and Schwab Long
Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 4.94 times more return on investment than Schwab Long. However, MicroSectors FANG is 4.94 times more volatile than Schwab Long Term Treasury. It trades about 0.12 of its potential returns per unit of risk. Schwab Long Term Treasury is currently generating about -0.01 per unit of risk. If you would invest 7,106 in MicroSectors FANG Index on October 10, 2024 and sell it today you would earn a total of 53,533 from holding MicroSectors FANG Index or generate 753.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MicroSectors FANG Index vs. Schwab Long Term Treasury
Performance |
Timeline |
MicroSectors FANG Index |
Schwab Long Term |
MicroSectors FANG and Schwab Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and Schwab Long
The main advantage of trading using opposite MicroSectors FANG and Schwab Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, Schwab Long 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 Schwab Long will offset losses from the drop in Schwab Long's long position.MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. MicroSectors Solactive FANG | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Technology |
Schwab Long vs. Schwab 1 5 Year | Schwab Long vs. Schwab 5 10 Year | Schwab Long vs. Schwab Intermediate Term Treasury | Schwab Long vs. Schwab Short Term Treasury |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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