Correlation Between 0x and Tether

Can any of the company-specific risk be diversified away by investing in both 0x and Tether 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 0x and Tether into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between 0x and Tether, you can compare the effects of market volatilities on 0x and Tether 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 0x with a short position of Tether. Check out your portfolio center. Please also check ongoing floating volatility patterns of 0x and Tether.

Diversification Opportunities for 0x and Tether

0.0

Correlation Coefficient

0x  Tether

Pay attention - limited upside

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

Pair Corralation between 0x and Tether

If you would invest  100.00  in Tether on January 20, 2024 and sell it today you would earn a total of  0.00  from holding Tether or generate 0.0% return on investment over 90 days.

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

0x  vs.  Tether

0x

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in 0x are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, 0x exhibited solid returns over the last few months and may actually be approaching a breakup point.

Tether

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with 0x and Tether

The main advantage of trading using opposite 0x and Tether positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 0x position performs unexpectedly, Tether 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 Tether will offset losses from the drop in Tether's long position.

The idea behind 0x and Tether 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.