Correlation Between Kadena and Pyth Network

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

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

Diversification Opportunities for Kadena and Pyth Network

0.72

Correlation Coefficient

Kadena  Pyth Network

Poor diversification

The 3 months correlation between Kadena and Pyth is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Kadena and Pyth Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyth Network and Kadena 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 Kadena are associated (or correlated) with Pyth Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyth Network has no effect on the direction of Kadena i.e., Kadena and Pyth Network go up and down completely randomly.

Pair Corralation between Kadena and Pyth Network

Assuming the 90 days trading horizon Kadena is expected to generate 1.33 times more return on investment than Pyth Network. However, Kadena is 1.33 times more volatile than Pyth Network. It trades about 0.23 of its potential returns per unit of risk. Pyth Network is currently generating about 0.22 per unit of risk. If you would invest  51.00  in Kadena on September 1, 2024 and sell it today you would earn a total of  72.00  from holding Kadena or generate 141.18% return on investment over 90 days.

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

Kadena  vs.  Pyth Network

Kadena

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Kadena are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Kadena exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pyth Network

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Pyth Network are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Pyth Network exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Kadena and Pyth Network

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

The idea behind Kadena and Pyth 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.