Correlation Between BTS and EOSDAC

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

Diversification Opportunities for BTS and EOSDAC

0.52
  Correlation Coefficient

Very weak diversification

The 3 months correlation between BTS and EOSDAC is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding BTS and EOSDAC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EOSDAC and BTS 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 BTS are associated (or correlated) with EOSDAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EOSDAC has no effect on the direction of BTS i.e., BTS and EOSDAC go up and down completely randomly.

Pair Corralation between BTS and EOSDAC

Assuming the 90 days trading horizon BTS is expected to generate 1.28 times less return on investment than EOSDAC. In addition to that, BTS is 1.28 times more volatile than EOSDAC. It trades about 0.05 of its total potential returns per unit of risk. EOSDAC is currently generating about 0.09 per unit of volatility. If you would invest  0.03  in EOSDAC on September 26, 2024 and sell it today you would earn a total of  0.00  from holding EOSDAC or generate 1.46% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

BTS  vs.  EOSDAC

 Performance 
       Timeline  
BTS 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in BTS are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BTS exhibited solid returns over the last few months and may actually be approaching a breakup point.
EOSDAC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days EOSDAC has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unsteady performance in the last few months, the Crypto's basic indicators remain somewhat strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for EOSDAC investors.

BTS and EOSDAC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTS and EOSDAC

The main advantage of trading using opposite BTS and EOSDAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTS position performs unexpectedly, EOSDAC 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 EOSDAC will offset losses from the drop in EOSDAC's long position.
The idea behind BTS and EOSDAC 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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