Correlation Between AURORAC and Dash

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

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

Diversification Opportunities for AURORAC and Dash

0.0

Correlation Coefficient

AURORAC  Dash

Pay attention - limited upside

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

Pair Corralation between AURORAC and Dash

If you would invest  2,450  in Dash on September 13, 2024 and sell it today you would earn a total of  2,412  from holding Dash or generate 98.45% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

AURORAC  vs.  Dash

AURORAC

Risk-Adjusted Performance

0 of 100

Very Weak

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

Dash

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Dash are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Dash exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with AURORAC and Dash

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

The idea behind AURORAC and Dash 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.