Correlation Between FactSet Research and Moodys

Can any of the company-specific risk be diversified away by investing in both FactSet Research and Moodys 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 Moodys 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 Moodys, you can compare the effects of market volatilities on FactSet Research and Moodys 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 Moodys. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and Moodys.

Diversification Opportunities for FactSet Research and Moodys

0.37

Correlation Coefficient

FactSet Research  Moodys

Weak diversification

The 3 months correlation between FactSet and Moodys is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and Moodys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moodys 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 Moodys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moodys has no effect on the direction of FactSet Research i.e., FactSet Research and Moodys go up and down completely randomly.

Pair Corralation between FactSet Research and Moodys

Considering the 90-day investment horizon FactSet Research Systems is expected to under-perform the Moodys. In addition to that, FactSet Research is 1.3 times more volatile than Moodys. It trades about -0.22 of its total potential returns per unit of risk. Moodys is currently generating about -0.17 per unit of volatility. If you would invest  39,024  in Moodys on January 27, 2024 and sell it today you would lose (1,506) from holding Moodys or give up 3.86% of portfolio value over 90 days.

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

FactSet Research Systems  vs.  Moodys

FactSet Research Systems

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days FactSet Research Systems has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's fundamental indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Moodys

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with FactSet Research and Moodys

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

The idea behind FactSet Research Systems and Moodys 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..