Correlation Between Starknet and NEO

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

Diversification Opportunities for Starknet and NEO

0.95
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Starknet and NEO is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Starknet and NEO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEO and Starknet 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 Starknet are associated (or correlated) with NEO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEO has no effect on the direction of Starknet i.e., Starknet and NEO go up and down completely randomly.

Pair Corralation between Starknet and NEO

Assuming the 90 days trading horizon Starknet is expected to generate 1.67 times more return on investment than NEO. However, Starknet is 1.67 times more volatile than NEO. It trades about 0.49 of its potential returns per unit of risk. NEO is currently generating about 0.63 per unit of risk. If you would invest  36.00  in Starknet on September 2, 2024 and sell it today you would earn a total of  35.00  from holding Starknet or generate 97.22% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Starknet  vs.  NEO

 Performance 
       Timeline  
Starknet 

Risk-Adjusted Performance

15 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Starknet are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Starknet exhibited solid returns over the last few months and may actually be approaching a breakup point.
NEO 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in NEO are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, NEO exhibited solid returns over the last few months and may actually be approaching a breakup point.

Starknet and NEO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Starknet and NEO

The main advantage of trading using opposite Starknet and NEO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starknet position performs unexpectedly, NEO 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 NEO will offset losses from the drop in NEO's long position.
The idea behind Starknet and NEO 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Other Complementary Tools

Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm