Correlation Between Sea and Mid Atlantic

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

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

Diversification Opportunities for Sea and Mid Atlantic

0.0

Correlation Coefficient

Sea  Mid Atlantic

Pay attention - limited upside

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

Pair Corralation between Sea and Mid Atlantic

If you would invest  9,428  in Sea on September 29, 2024 and sell it today you would earn a total of  1,444  from holding Sea or generate 15.32% return on investment over 90 days.

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

Sea  vs.  Mid Atlantic Home Health

Sea

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Sea are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Sea exhibited solid returns over the last few months and may actually be approaching a breakup point.

Mid Atlantic Home

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mid Atlantic Home Health has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy technical indicators, Mid Atlantic is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with Sea and Mid Atlantic

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

The idea behind Sea and Mid Atlantic Home Health 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.