Correlation Between EigenLayer and TNB

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

Diversification Opportunities for EigenLayer and TNB

0.46
  Correlation Coefficient

Very weak diversification

The 3 months correlation between EigenLayer and TNB is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and TNB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TNB and EigenLayer 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 EigenLayer are associated (or correlated) with TNB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TNB has no effect on the direction of EigenLayer i.e., EigenLayer and TNB go up and down completely randomly.

Pair Corralation between EigenLayer and TNB

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the TNB. In addition to that, EigenLayer is 2.05 times more volatile than TNB. It trades about 0.0 of its total potential returns per unit of risk. TNB is currently generating about 0.44 per unit of volatility. If you would invest  0.01  in TNB on August 25, 2024 and sell it today you would earn a total of  0.00  from holding TNB or generate 48.33% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  TNB

 Performance 
       Timeline  
EigenLayer 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, EigenLayer exhibited solid returns over the last few months and may actually be approaching a breakup point.
TNB 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in TNB are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental drivers, TNB exhibited solid returns over the last few months and may actually be approaching a breakup point.

EigenLayer and TNB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and TNB

The main advantage of trading using opposite EigenLayer and TNB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, TNB 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 TNB will offset losses from the drop in TNB's long position.
The idea behind EigenLayer and TNB 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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