Correlation Between BTM and Cosmos

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

Diversification Opportunities for BTM and Cosmos

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between BTM and Cosmos is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding BTM and Cosmos in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cosmos and BTM 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 BTM are associated (or correlated) with Cosmos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cosmos has no effect on the direction of BTM i.e., BTM and Cosmos go up and down completely randomly.

Pair Corralation between BTM and Cosmos

Assuming the 90 days trading horizon BTM is expected to under-perform the Cosmos. In addition to that, BTM is 1.43 times more volatile than Cosmos. It trades about -0.02 of its total potential returns per unit of risk. Cosmos is currently generating about -0.01 per unit of volatility. If you would invest  1,103  in Cosmos on January 26, 2024 and sell it today you would lose (263.00) from holding Cosmos or give up 23.84% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

BTM  vs.  Cosmos

 Performance 
       Timeline  
BTM 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in BTM are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, BTM exhibited solid returns over the last few months and may actually be approaching a breakup point.
Cosmos 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Cosmos has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Cosmos shareholders.

BTM and Cosmos Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTM and Cosmos

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

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