Correlation Between MicroSectors FANG and SPDR Portfolio
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and SPDR Portfolio 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 Portfolio 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 Portfolio TIPS, you can compare the effects of market volatilities on MicroSectors FANG and SPDR Portfolio 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 Portfolio. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and SPDR Portfolio.
Diversification Opportunities for MicroSectors FANG and SPDR Portfolio
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MicroSectors and SPDR is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and SPDR Portfolio TIPS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Portfolio TIPS 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 Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Portfolio TIPS has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and SPDR Portfolio go up and down completely randomly.
Pair Corralation between MicroSectors FANG and SPDR Portfolio
Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 12.95 times more return on investment than SPDR Portfolio. However, MicroSectors FANG is 12.95 times more volatile than SPDR Portfolio TIPS. It trades about 0.1 of its potential returns per unit of risk. SPDR Portfolio TIPS is currently generating about -0.4 per unit of risk. If you would invest 9,079 in MicroSectors FANG Index on October 6, 2024 and sell it today you would earn a total of 518.00 from holding MicroSectors FANG Index or generate 5.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MicroSectors FANG Index vs. SPDR Portfolio TIPS
Performance |
Timeline |
MicroSectors FANG Index |
SPDR Portfolio TIPS |
MicroSectors FANG and SPDR Portfolio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and SPDR Portfolio
The main advantage of trading using opposite MicroSectors FANG and SPDR Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, SPDR Portfolio 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 Portfolio will offset losses from the drop in SPDR Portfolio's long position.MicroSectors FANG vs. MicroSectors FANG ETN | MicroSectors FANG vs. Direxion Daily Dow | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Cnsmr |
SPDR Portfolio vs. SPDR Bloomberg 1 10 | SPDR Portfolio vs. iShares 0 5 Year | SPDR Portfolio vs. Schwab TIPS ETF | SPDR Portfolio vs. PIMCO 15 Year |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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