Correlation Between Cosmos and Dai

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

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

Diversification Opportunities for Cosmos and Dai

0.0

Correlation Coefficient

Cosmos  Dai

Pay attention - limited upside

The 3 months correlation between Cosmos and Dai is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Cosmos and Dai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dai and Cosmos 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 Cosmos are associated (or correlated) with Dai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dai has no effect on the direction of Cosmos i.e., Cosmos and Dai go up and down completely randomly.

Pair Corralation between Cosmos and Dai

If you would invest  411.00  in Cosmos on September 2, 2024 and sell it today you would earn a total of  446.00  from holding Cosmos or generate 108.52% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Cosmos  vs.  Dai

Cosmos

Risk-Adjusted Performance

19 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Cosmos are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Cosmos exhibited solid returns over the last few months and may actually be approaching a breakup point.

Dai

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Cosmos and Dai

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

The idea behind Cosmos and Dai 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .