Correlation Between FactSet Research and Morgan Stanley

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

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

Diversification Opportunities for FactSet Research and Morgan Stanley

0.8

Correlation Coefficient

FactSet Research  Morgan Stanley

Very poor diversification

The 3 months correlation between FactSet and Morgan is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and Morgan Stanley Direct in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley Direct and FactSet Research 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 FactSet Research Systems are associated (or correlated) with Morgan Stanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Morgan Stanley Direct has no effect on the direction of FactSet Research i.e., FactSet Research and Morgan Stanley go up and down completely randomly.

Pair Corralation between FactSet Research and Morgan Stanley

Considering the 90-day investment horizon FactSet Research is expected to generate 5.17 times less return on investment than Morgan Stanley. In addition to that, FactSet Research is 1.13 times more volatile than Morgan Stanley Direct. It trades about 0.02 of its total potential returns per unit of risk. Morgan Stanley Direct is currently generating about 0.1 per unit of volatility. If you would invest  2,074  in Morgan Stanley Direct on September 27, 2024 and sell it today you would earn a total of  46.00  from holding Morgan Stanley Direct or generate 2.22% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

FactSet Research Systems  vs.  Morgan Stanley Direct

FactSet Research Systems

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in FactSet Research Systems are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak fundamental indicators, FactSet Research may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Morgan Stanley Direct

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Morgan Stanley Direct are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite quite uncertain fundamental indicators, Morgan Stanley may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with FactSet Research and Morgan Stanley

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

The idea behind FactSet Research Systems and Morgan Stanley Direct 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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.