Correlation Between Chainlink and DKargo

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

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

Diversification Opportunities for Chainlink and DKargo

0.58

Correlation Coefficient

Chainlink  DKargo

Very weak diversification

The 3 months correlation between Chainlink and DKargo is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Chainlink and dKargo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on dKargo and Chainlink 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 Chainlink are associated (or correlated) with DKargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of dKargo has no effect on the direction of Chainlink i.e., Chainlink and DKargo go up and down completely randomly.

Pair Corralation between Chainlink and DKargo

Assuming the 90 days trading horizon Chainlink is expected to under-perform the DKargo. But the crypto coin apears to be less risky and, when comparing its historical volatility, Chainlink is 1.06 times less risky than DKargo. The crypto coin trades about -0.25 of its potential returns per unit of risk. The dKargo is currently generating about -0.22 of returns per unit of risk over similar time horizon. If you would invest  4.05  in dKargo on January 27, 2024 and sell it today you would lose (0.95) from holding dKargo or give up 23.46% of portfolio value over 90 days.

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

Chainlink  vs.  dKargo

Chainlink

Risk-Adjusted Performance

0 of 100

Weak

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

dKargo

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in dKargo are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, DKargo may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Pair Trading with Chainlink and DKargo

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

The idea behind Chainlink and dKargo 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.