Correlation Between Nano and Phala Network

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

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

Diversification Opportunities for Nano and Phala Network

0.62

Correlation Coefficient

Nano  Phala Network

Poor diversification

The 3 months correlation between Nano and Phala is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Nano and Phala Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phala Network and Nano 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 Nano are associated (or correlated) with Phala Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Phala Network has no effect on the direction of Nano i.e., Nano and Phala Network go up and down completely randomly.

Pair Corralation between Nano and Phala Network

Assuming the 90 days trading horizon Nano is expected to generate 0.94 times more return on investment than Phala Network. However, Nano is 1.06 times less risky than Phala Network. It trades about -0.2 of its potential returns per unit of risk. Phala Network is currently generating about -0.21 per unit of risk. If you would invest  170.00  in Nano on January 25, 2024 and sell it today you would lose (45.00) from holding Nano or give up 26.47% of portfolio value over 90 days.

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

Nano  vs.  Phala Network

Nano

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Nano are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Nano exhibited solid returns over the last few months and may actually be approaching a breakup point.

Phala Network

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Phala Network are ranked lower than 15 (%) 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.

Pair Trading with Nano and Phala Network

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

The idea behind Nano and Phala Network 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.