Correlation Between MicroSectors FANG and FT Cboe

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

Diversification Opportunities for MicroSectors FANG and FT Cboe

0.93
  Correlation Coefficient

Almost no diversification

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

Pair Corralation between MicroSectors FANG and FT Cboe

Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 7.23 times more return on investment than FT Cboe. However, MicroSectors FANG is 7.23 times more volatile than FT Cboe Vest. It trades about 0.11 of its potential returns per unit of risk. FT Cboe Vest is currently generating about 0.12 per unit of risk. If you would invest  1,648  in MicroSectors FANG Index on August 30, 2024 and sell it today you would earn a total of  6,531  from holding MicroSectors FANG Index or generate 396.3% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

MicroSectors FANG Index  vs.  FT Cboe Vest

 Performance 
       Timeline  
MicroSectors FANG Index 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in MicroSectors FANG Index are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of very uncertain technical and fundamental indicators, MicroSectors FANG displayed solid returns over the last few months and may actually be approaching a breakup point.
FT Cboe Vest 

Risk-Adjusted Performance

21 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, FT Cboe is not utilizing all of its potentials. The current stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

MicroSectors FANG and FT Cboe Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MicroSectors FANG and FT Cboe

The main advantage of trading using opposite MicroSectors FANG and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.
The idea behind MicroSectors FANG Index and FT Cboe Vest 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities