Correlation Between Bitcoin SV and Hedera Hashgraph

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Bitcoin SV 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 Bitcoin SV and Hedera Hashgraph into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin SV and Hedera Hashgraph, you can compare the effects of market volatilities on Bitcoin SV 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 Bitcoin SV with a short position of Hedera Hashgraph. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin SV and Hedera Hashgraph.

Diversification Opportunities for Bitcoin SV and Hedera Hashgraph

0.69
  Correlation Coefficient

Poor diversification

The 3 months correlation between Bitcoin and Hedera is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin SV and Hedera Hashgraph in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hedera Hashgraph and Bitcoin SV 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 Bitcoin SV 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 Bitcoin SV i.e., Bitcoin SV and Hedera Hashgraph go up and down completely randomly.

Pair Corralation between Bitcoin SV and Hedera Hashgraph

Assuming the 90 days trading horizon Bitcoin SV is expected to under-perform the Hedera Hashgraph. But the crypto coin apears to be less risky and, when comparing its historical volatility, Bitcoin SV is 3.29 times less risky than Hedera Hashgraph. The crypto coin trades about -0.15 of its potential returns per unit of risk. The Hedera Hashgraph is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  11.00  in Hedera Hashgraph on January 26, 2024 and sell it today you would earn a total of  5.00  from holding Hedera Hashgraph or generate 45.45% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Bitcoin SV  vs.  Hedera Hashgraph

 Performance 
       Timeline  
Bitcoin SV 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Bitcoin SV are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Bitcoin SV may actually be approaching a critical reversion point that can send shares even higher in May 2024.
Hedera Hashgraph 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Hedera Hashgraph are ranked lower than 10 (%) 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.

Bitcoin SV and Hedera Hashgraph Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bitcoin SV and Hedera Hashgraph

The main advantage of trading using opposite Bitcoin SV and Hedera Hashgraph positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin SV 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 Bitcoin SV 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

Other Complementary Tools

Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Fundamental Analysis
View fundamental data based on most recent published financial statements
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum