Correlation Between DigiByte and JNT

Can any of the company-specific risk be diversified away by investing in both DigiByte and JNT 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 DigiByte and JNT into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between DigiByte and JNT, you can compare the effects of market volatilities on DigiByte and JNT 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 DigiByte with a short position of JNT. Check out your portfolio center. Please also check ongoing floating volatility patterns of DigiByte and JNT.

Diversification Opportunities for DigiByte and JNT

-0.47

Correlation Coefficient

DigiByte  JNT

Very good diversification

The 3 months correlation between DigiByte and JNT is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding DigiByte and JNT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JNT and DigiByte 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 DigiByte are associated (or correlated) with JNT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JNT has no effect on the direction of DigiByte i.e., DigiByte and JNT go up and down completely randomly.

Pair Corralation between DigiByte and JNT

If you would invest  8.16  in JNT on February 7, 2024 and sell it today you would earn a total of  0.00  from holding JNT or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	4.55%
Values	Daily Returns

DigiByte  vs.  JNT

DigiByte

Risk-Adjusted Performance

9 of 100

OK

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

JNT

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days JNT has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, JNT is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with DigiByte and JNT

The main advantage of trading using opposite DigiByte and JNT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DigiByte position performs unexpectedly, JNT 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 JNT will offset losses from the drop in JNT's long position.

The idea behind DigiByte and JNT 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.