Correlation Between MicroSectors FANG and Alpha Architect
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and Alpha Architect 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 Alpha Architect 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 Alpha Architect Quantitative, you can compare the effects of market volatilities on MicroSectors FANG and Alpha Architect 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 Alpha Architect. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and Alpha Architect.
Diversification Opportunities for MicroSectors FANG and Alpha Architect
-0.95 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between MicroSectors and Alpha is -0.95. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and Alpha Architect Quantitative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpha Architect Quan 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 Alpha Architect. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpha Architect Quan has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and Alpha Architect go up and down completely randomly.
Pair Corralation between MicroSectors FANG and Alpha Architect
Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the Alpha Architect. In addition to that, MicroSectors FANG is 3.61 times more volatile than Alpha Architect Quantitative. It trades about -0.28 of its total potential returns per unit of risk. Alpha Architect Quantitative is currently generating about 0.13 per unit of volatility. If you would invest 5,985 in Alpha Architect Quantitative on May 3, 2025 and sell it today you would earn a total of 399.00 from holding Alpha Architect Quantitative or generate 6.67% 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. Alpha Architect Quantitative
Performance |
Timeline |
MicroSectors FANG Index |
Alpha Architect Quan |
MicroSectors FANG and Alpha Architect Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and Alpha Architect
The main advantage of trading using opposite MicroSectors FANG and Alpha Architect positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, Alpha Architect 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 Alpha Architect will offset losses from the drop in Alpha Architect's long position.MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. Direxion Daily Technology | MicroSectors FANG vs. Bank of Montreal | 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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