Correlation Between MicroSectors FANG and SPDR Galaxy
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and SPDR Galaxy 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 SPDR Galaxy 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 SPDR Galaxy Digital, you can compare the effects of market volatilities on MicroSectors FANG and SPDR Galaxy 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 SPDR Galaxy. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and SPDR Galaxy.
Diversification Opportunities for MicroSectors FANG and SPDR Galaxy
-0.94 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MicroSectors and SPDR is -0.94. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and SPDR Galaxy Digital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Galaxy Digital 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 SPDR Galaxy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Galaxy Digital has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and SPDR Galaxy go up and down completely randomly.
Pair Corralation between MicroSectors FANG and SPDR Galaxy
Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the SPDR Galaxy. In addition to that, MicroSectors FANG is 1.02 times more volatile than SPDR Galaxy Digital. It trades about -0.21 of its total potential returns per unit of risk. SPDR Galaxy Digital is currently generating about 0.17 per unit of volatility. If you would invest 3,010 in SPDR Galaxy Digital on September 13, 2024 and sell it today you would earn a total of 840.49 from holding SPDR Galaxy Digital or generate 27.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
MicroSectors FANG Index vs. SPDR Galaxy Digital
Performance |
| Timeline |
| MicroSectors FANG Index |
| SPDR Galaxy Digital |
MicroSectors FANG and SPDR Galaxy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MicroSectors FANG and SPDR Galaxy
The main advantage of trading using opposite MicroSectors FANG and SPDR Galaxy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, SPDR Galaxy 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 Galaxy will offset losses from the drop in SPDR Galaxy's long position.| MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. Direxion Daily Technology | MicroSectors FANG vs. Direxion Daily SP |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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