Correlation Between Phala Network and Jupiter

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

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

Diversification Opportunities for Phala Network and Jupiter

-0.25

Correlation Coefficient

Phala Network  Jupiter

Very good diversification

The 3 months correlation between Phala and Jupiter is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Phala Network and Jupiter in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jupiter and Phala Network 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 Phala Network are associated (or correlated) with Jupiter. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jupiter has no effect on the direction of Phala Network i.e., Phala Network and Jupiter go up and down completely randomly.

Pair Corralation between Phala Network and Jupiter

Assuming the 90 days trading horizon Phala Network is expected to generate 5.07 times more return on investment than Jupiter. However, Phala Network is 5.07 times more volatile than Jupiter. It trades about 0.18 of its potential returns per unit of risk. Jupiter is currently generating about -0.25 per unit of risk. If you would invest  18.00  in Phala Network on October 12, 2024 and sell it today you would earn a total of  12.00  from holding Phala Network or generate 66.67% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Phala Network  vs.  Jupiter

Phala Network

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Phala Network are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Phala Network exhibited solid returns over the last few months and may actually be approaching a breakup point.

Jupiter

Risk-Adjusted Performance

0 of 100

Insignificant

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

Pair Trading with Phala Network and Jupiter

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

The idea behind Phala Network and Jupiter 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.