Correlation Between Storj and ZCash

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

Diversification Opportunities for Storj and ZCash

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Storj and ZCash is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Storj and ZCash in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZCash and Storj 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 Storj are associated (or correlated) with ZCash. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZCash has no effect on the direction of Storj i.e., Storj and ZCash go up and down completely randomly.

Pair Corralation between Storj and ZCash

Assuming the 90 days trading horizon Storj is expected to under-perform the ZCash. But the crypto coin apears to be less risky and, when comparing its historical volatility, Storj is 1.13 times less risky than ZCash. The crypto coin trades about -0.17 of its potential returns per unit of risk. The ZCash is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest  5,619  in ZCash on December 30, 2024 and sell it today you would lose (2,002) from holding ZCash or give up 35.63% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Storj  vs.  ZCash

 Performance 
       Timeline  
Storj 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Storj has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Storj shareholders.
ZCash 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days ZCash has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for ZCash shareholders.

Storj and ZCash Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Storj and ZCash

The main advantage of trading using opposite Storj and ZCash positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Storj position performs unexpectedly, ZCash 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 ZCash will offset losses from the drop in ZCash's long position.
The idea behind Storj and ZCash 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.
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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