Correlation Between Fidelity Large and Dataax

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

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

Diversification Opportunities for Fidelity Large and Dataax

0.97

Correlation Coefficient

Fidelity Large  Dataax

Almost no diversification

The 3 months correlation between Fidelity and Dataax is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Large Cap and Dataax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dataax and Fidelity Large 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 Fidelity Large Cap are associated (or correlated) with Dataax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dataax has no effect on the direction of Fidelity Large i.e., Fidelity Large and Dataax go up and down completely randomly.

Pair Corralation between Fidelity Large and Dataax

Assuming the 90 days horizon Fidelity Large is expected to generate 1.38 times less return on investment than Dataax. But when comparing it to its historical volatility, Fidelity Large Cap is 1.78 times less risky than Dataax. It trades about 0.33 of its potential returns per unit of risk. Dataax is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  903.00  in Dataax on May 11, 2025 and sell it today you would earn a total of  153.00  from holding Dataax or generate 16.94% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	95.16%
Values	Daily Returns

Fidelity Large Cap  vs.  Dataax

Fidelity Large Cap

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Fidelity Large Cap are ranked lower than 25 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak forward-looking signals, Fidelity Large may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Dataax

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Dataax are ranked lower than 19 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Dataax showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Fidelity Large and Dataax

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

The idea behind Fidelity Large Cap and Dataax 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.