Correlation Between Monero and Dai

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

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

Diversification Opportunities for Monero and Dai

0.0

Correlation Coefficient

Monero  Dai

Pay attention - limited upside

The 3 months correlation between Monero and Dai is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Monero and Dai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dai and Monero 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 Monero 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 Monero i.e., Monero and Dai go up and down completely randomly.

Pair Corralation between Monero and Dai

If you would invest  19,320  in Monero on December 28, 2024 and sell it today you would earn a total of  3,109  from holding Monero or generate 16.09% return on investment over 90 days.

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

Monero  vs.  Dai

Monero

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Monero are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Monero exhibited solid returns over the last few months and may actually be approaching a breakup point.

Dai

Risk-Adjusted Performance

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 Monero and Dai

The main advantage of trading using opposite Monero and Dai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monero 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 Monero 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.