Correlation Between MicroSectors FANG and ProShares Short
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and ProShares Short 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 ProShares Short 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 ProShares Short VIX, you can compare the effects of market volatilities on MicroSectors FANG and ProShares Short 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 ProShares Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and ProShares Short.
Diversification Opportunities for MicroSectors FANG and ProShares Short
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MicroSectors and ProShares is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and ProShares Short VIX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Short VIX 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 ProShares Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Short VIX has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and ProShares Short go up and down completely randomly.
Pair Corralation between MicroSectors FANG and ProShares Short
Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the ProShares Short. In addition to that, MicroSectors FANG is 2.66 times more volatile than ProShares Short VIX. It trades about -0.08 of its total potential returns per unit of risk. ProShares Short VIX is currently generating about -0.06 per unit of volatility. If you would invest 5,006 in ProShares Short VIX on December 31, 2024 and sell it today you would lose (432.00) from holding ProShares Short VIX or give up 8.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 88.52% |
Values | Daily Returns |
MicroSectors FANG Index vs. ProShares Short VIX
Performance |
Timeline |
MicroSectors FANG Index |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
ProShares Short VIX |
MicroSectors FANG and ProShares Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and ProShares Short
The main advantage of trading using opposite MicroSectors FANG and ProShares Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, ProShares Short 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 ProShares Short will offset losses from the drop in ProShares Short'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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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