Correlation Between Flare and Phala Network

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

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

Diversification Opportunities for Flare and Phala Network

0.31

Correlation Coefficient

Flare  Phala Network

Weak diversification

The 3 months correlation between Flare and Phala is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Flare and Phala Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phala Network and Flare 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 Flare 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 Flare i.e., Flare and Phala Network go up and down completely randomly.

Pair Corralation between Flare and Phala Network

Assuming the 90 days trading horizon Flare is expected to generate 0.59 times more return on investment than Phala Network. However, Flare is 1.69 times less risky than Phala Network. It trades about -0.22 of its potential returns per unit of risk. Phala Network is currently generating about -0.17 per unit of risk. If you would invest  3.82  in Flare on January 29, 2024 and sell it today you would lose (0.73) from holding Flare or give up 19.11% of portfolio value over 90 days.

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

Flare  vs.  Phala Network

Flare

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Flare are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Flare exhibited solid returns over the last few months and may actually be approaching a breakup point.

Phala Network

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Phala Network are ranked lower than 13 (%) 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 Flare and Phala Network

The main advantage of trading using opposite Flare and Phala Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flare 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 Flare 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.

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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.