Correlation Between Morgan Stanley and SPACE

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

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

Diversification Opportunities for Morgan Stanley and SPACE

0.14

Correlation Coefficient

Morgan Stanley  SPACE

Average diversification

The 3 months correlation between Morgan and SPACE is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley and SPACE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPACE and Morgan Stanley 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 Morgan Stanley are associated (or correlated) with SPACE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPACE has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and SPACE go up and down completely randomly.

Pair Corralation between Morgan Stanley and SPACE

Allowing for the 90-day total investment horizon Morgan Stanley is expected to generate 0.33 times more return on investment than SPACE. However, Morgan Stanley is 3.0 times less risky than SPACE. It trades about -0.03 of its potential returns per unit of risk. SPACE is currently generating about -0.11 per unit of risk. If you would invest  12,592  in Morgan Stanley on December 27, 2024 and sell it today you would lose (692.00) from holding Morgan Stanley or give up 5.5% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	96.83%
Values	Daily Returns

Morgan Stanley  vs.  SPACE

Morgan Stanley

Risk-Adjusted Performance

Very Weak

Over the last 90 days Morgan Stanley has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Morgan Stanley is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

SPACE

Risk-Adjusted Performance

Very Weak

Over the last 90 days SPACE has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for SPACE shareholders.

Pair Trading with Morgan Stanley and SPACE

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

The idea behind Morgan Stanley and SPACE 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.