Correlation Between Qs Us and Loomis Sayles

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

By analyzing existing cross correlation between Qs Large Cap and Loomis Sayles Small, you can compare the effects of market volatilities on Qs Us and Loomis Sayles 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 Qs Us with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qs Us and Loomis Sayles.

Diversification Opportunities for Qs Us and Loomis Sayles

0.72

Correlation Coefficient

Qs Us  Loomis Sayles

Poor diversification

The 3 months correlation between LMUSX and Loomis is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Loomis Sayles Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Small and Qs Us 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 Qs Large Cap are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Small has no effect on the direction of Qs Us i.e., Qs Us and Loomis Sayles go up and down completely randomly.

Pair Corralation between Qs Us and Loomis Sayles

Assuming the 90 days horizon Qs Large Cap is expected to generate 0.5 times more return on investment than Loomis Sayles. However, Qs Large Cap is 2.02 times less risky than Loomis Sayles. It trades about -0.2 of its potential returns per unit of risk. Loomis Sayles Small is currently generating about -0.3 per unit of risk. If you would invest  2,616  in Qs Large Cap on October 10, 2024 and sell it today you would lose (138.00) from holding Qs Large Cap or give up 5.28% of portfolio value over 90 days.

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

Qs Large Cap  vs.  Loomis Sayles Small

Qs Large Cap

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Qs Large Cap are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Qs Us is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Loomis Sayles Small

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Loomis Sayles Small has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Qs Us and Loomis Sayles

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

The idea behind Qs Large Cap and Loomis Sayles Small 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.