Correlation Between BTM and Hedera Hashgraph

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

Diversification Opportunities for BTM and Hedera Hashgraph

0.86
  Correlation Coefficient

Very poor diversification

The 3 months correlation between BTM and Hedera is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding BTM and Hedera Hashgraph in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hedera Hashgraph 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 Hedera Hashgraph. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hedera Hashgraph has no effect on the direction of BTM i.e., BTM and Hedera Hashgraph go up and down completely randomly.

Pair Corralation between BTM and Hedera Hashgraph

Assuming the 90 days trading horizon BTM is expected to generate 0.77 times more return on investment than Hedera Hashgraph. However, BTM is 1.3 times less risky than Hedera Hashgraph. It trades about 0.02 of its potential returns per unit of risk. Hedera Hashgraph is currently generating about -0.16 per unit of risk. If you would invest  1.00  in BTM on January 20, 2024 and sell it today you would lose (0.01) from holding BTM or give up 0.95% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

BTM  vs.  Hedera Hashgraph

 Performance 
       Timeline  
BTM 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in BTM are ranked lower than 3 (%) 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.
Hedera Hashgraph 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Hedera Hashgraph are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Hedera Hashgraph exhibited solid returns over the last few months and may actually be approaching a breakup point.

BTM and Hedera Hashgraph Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTM and Hedera Hashgraph

The main advantage of trading using opposite BTM and Hedera Hashgraph positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTM position performs unexpectedly, Hedera Hashgraph 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 Hedera Hashgraph will offset losses from the drop in Hedera Hashgraph's long position.
The idea behind BTM and Hedera Hashgraph 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 CEOs Directory module to screen CEOs from public companies around the world.

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