Correlation Between Big Time and Phala Network

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

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

Diversification Opportunities for Big Time and Phala Network

0.76

Correlation Coefficient

Big Time  Phala Network

Poor diversification

The 3 months correlation between Big and Phala is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Big Time and Phala Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phala Network and Big Time 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 Big Time 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 Big Time i.e., Big Time and Phala Network go up and down completely randomly.

Pair Corralation between Big Time and Phala Network

Assuming the 90 days trading horizon Big Time is expected to under-perform the Phala Network. In addition to that, Big Time is 1.28 times more volatile than Phala Network. It trades about -0.2 of its total potential returns per unit of risk. Phala Network is currently generating about -0.15 per unit of volatility. If you would invest  26.00  in Phala Network on January 30, 2024 and sell it today you would lose (6.00) from holding Phala Network or give up 23.08% of portfolio value over 90 days.

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

Big Time  vs.  Phala Network

Big Time

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Big Time are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady forward indicators, Big Time 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 Big Time and Phala Network

The main advantage of trading using opposite Big Time and Phala Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Time 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 Big Time 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.