Correlation Between Astor Longshort and Mobile Telecommunicatio

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Astor Longshort and Mobile Telecommunicatio 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 Astor Longshort and Mobile Telecommunicatio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astor Longshort Fund and Mobile Telecommunications Ultrasector, you can compare the effects of market volatilities on Astor Longshort and Mobile Telecommunicatio 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 Astor Longshort with a short position of Mobile Telecommunicatio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astor Longshort and Mobile Telecommunicatio.

Diversification Opportunities for Astor Longshort and Mobile Telecommunicatio

0.07
  Correlation Coefficient

Significant diversification

The 3 months correlation between Astor and Mobile is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Astor Longshort Fund and Mobile Telecommunications Ultr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mobile Telecommunicatio and Astor Longshort 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 Astor Longshort Fund are associated (or correlated) with Mobile Telecommunicatio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mobile Telecommunicatio has no effect on the direction of Astor Longshort i.e., Astor Longshort and Mobile Telecommunicatio go up and down completely randomly.

Pair Corralation between Astor Longshort and Mobile Telecommunicatio

Assuming the 90 days horizon Astor Longshort Fund is expected to under-perform the Mobile Telecommunicatio. But the mutual fund apears to be less risky and, when comparing its historical volatility, Astor Longshort Fund is 1.02 times less risky than Mobile Telecommunicatio. The mutual fund trades about -0.13 of its potential returns per unit of risk. The Mobile Telecommunications Ultrasector is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  4,457  in Mobile Telecommunications Ultrasector on October 6, 2024 and sell it today you would earn a total of  322.00  from holding Mobile Telecommunications Ultrasector or generate 7.22% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy97.62%
ValuesDaily Returns

Astor Longshort Fund  vs.  Mobile Telecommunications Ultr

 Performance 
       Timeline  
Astor Longshort 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Astor Longshort Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's forward indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.
Mobile Telecommunicatio 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Mobile Telecommunications Ultrasector are ranked lower than 11 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak forward indicators, Mobile Telecommunicatio showed solid returns over the last few months and may actually be approaching a breakup point.

Astor Longshort and Mobile Telecommunicatio Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Astor Longshort and Mobile Telecommunicatio

The main advantage of trading using opposite Astor Longshort and Mobile Telecommunicatio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astor Longshort position performs unexpectedly, Mobile Telecommunicatio 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 Mobile Telecommunicatio will offset losses from the drop in Mobile Telecommunicatio's long position.
The idea behind Astor Longshort Fund and Mobile Telecommunications Ultrasector 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Other Complementary Tools

Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Fundamental Analysis
View fundamental data based on most recent published financial statements
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk