Correlation Between MicroSectors FANG and AdvisorShares Dorsey

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and AdvisorShares Dorsey 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 AdvisorShares Dorsey 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 AdvisorShares Dorsey Wright, you can compare the effects of market volatilities on MicroSectors FANG and AdvisorShares Dorsey 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 AdvisorShares Dorsey. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and AdvisorShares Dorsey.

Diversification Opportunities for MicroSectors FANG and AdvisorShares Dorsey

-0.93
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between MicroSectors and AdvisorShares is -0.93. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and AdvisorShares Dorsey Wright in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AdvisorShares Dorsey 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 AdvisorShares Dorsey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AdvisorShares Dorsey has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and AdvisorShares Dorsey go up and down completely randomly.

Pair Corralation between MicroSectors FANG and AdvisorShares Dorsey

Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the AdvisorShares Dorsey. In addition to that, MicroSectors FANG is 4.16 times more volatile than AdvisorShares Dorsey Wright. It trades about -0.21 of its total potential returns per unit of risk. AdvisorShares Dorsey Wright is currently generating about 0.15 per unit of volatility. If you would invest  6,362  in AdvisorShares Dorsey Wright on October 1, 2024 and sell it today you would earn a total of  611.00  from holding AdvisorShares Dorsey Wright or generate 9.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

MicroSectors FANG Index  vs.  AdvisorShares Dorsey Wright

 Performance 
       Timeline  
MicroSectors FANG Index 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days MicroSectors FANG Index has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Etf's technical and fundamental indicators remain rather sound which may send shares a bit higher in January 2025. The latest tumult may also be a sign of longer-term up-swing for the fund shareholders.
AdvisorShares Dorsey 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in AdvisorShares Dorsey Wright are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Even with relatively unsteady fundamental indicators, AdvisorShares Dorsey may actually be approaching a critical reversion point that can send shares even higher in January 2025.

MicroSectors FANG and AdvisorShares Dorsey Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MicroSectors FANG and AdvisorShares Dorsey

The main advantage of trading using opposite MicroSectors FANG and AdvisorShares Dorsey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, AdvisorShares Dorsey 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 AdvisorShares Dorsey will offset losses from the drop in AdvisorShares Dorsey's long position.
The idea behind MicroSectors FANG Index and AdvisorShares Dorsey Wright pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.

Other Complementary Tools

Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments