Correlation Between Alkermes Plc and SSIC Old

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

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

Diversification Opportunities for Alkermes Plc and SSIC Old

0.0

Correlation Coefficient

Alkermes Plc  SSIC Old

Pay attention - limited upside

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

Pair Corralation between Alkermes Plc and SSIC Old

If you would invest  2,878  in Alkermes Plc on December 29, 2024 and sell it today you would earn a total of  475.00  from holding Alkermes Plc or generate 16.5% return on investment over 90 days.

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

Alkermes Plc  vs.  SSIC Old

Alkermes Plc

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Alkermes Plc are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively inconsistent forward-looking signals, Alkermes Plc unveiled solid returns over the last few months and may actually be approaching a breakup point.

SSIC Old

Risk-Adjusted Performance

Very Weak

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

Pair Trading with Alkermes Plc and SSIC Old

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

The idea behind Alkermes Plc and SSIC Old 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.