Correlation Between Stellar and Mfs Servative

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

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

Diversification Opportunities for Stellar and Mfs Servative

-0.25

Correlation Coefficient

Stellar  Mfs Servative

Very good diversification

The 3 months correlation between Stellar and Mfs is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Stellar and Mfs Servative Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Servative Allocation and Stellar 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 Stellar are associated (or correlated) with Mfs Servative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Servative Allocation has no effect on the direction of Stellar i.e., Stellar and Mfs Servative go up and down completely randomly.

Pair Corralation between Stellar and Mfs Servative

Assuming the 90 days trading horizon Stellar is expected to generate 21.19 times more return on investment than Mfs Servative. However, Stellar is 21.19 times more volatile than Mfs Servative Allocation. It trades about 0.25 of its potential returns per unit of risk. Mfs Servative Allocation is currently generating about -0.08 per unit of risk. If you would invest  9.33  in Stellar on October 24, 2024 and sell it today you would earn a total of  34.67  from holding Stellar or generate 371.6% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.24%
Values	Daily Returns

Stellar  vs.  Mfs Servative Allocation

Stellar

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Stellar are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, Stellar exhibited solid returns over the last few months and may actually be approaching a breakup point.

Mfs Servative Allocation

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mfs Servative Allocation has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward-looking indicators, Mfs Servative is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Stellar and Mfs Servative

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

The idea behind Stellar and Mfs Servative Allocation 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.