Correlation Between BTT and ARDR

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

Diversification Opportunities for BTT and ARDR

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between BTT and ARDR is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding BTT and ARDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARDR and BTT 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 BTT are associated (or correlated) with ARDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARDR has no effect on the direction of BTT i.e., BTT and ARDR go up and down completely randomly.

Pair Corralation between BTT and ARDR

If you would invest  6.15  in ARDR on September 3, 2024 and sell it today you would earn a total of  5.85  from holding ARDR or generate 95.12% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

BTT  vs.  ARDR

 Performance 
       Timeline  
BTT 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days BTT has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, BTT is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
ARDR 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in ARDR are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, ARDR exhibited solid returns over the last few months and may actually be approaching a breakup point.

BTT and ARDR Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTT and ARDR

The main advantage of trading using opposite BTT and ARDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTT position performs unexpectedly, ARDR 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 ARDR will offset losses from the drop in ARDR's long position.
The idea behind BTT and ARDR 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.
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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