Correlation Between M Large and Loomis Sayles

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

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

Diversification Opportunities for M Large and Loomis Sayles

0.84

Correlation Coefficient

M Large  Loomis Sayles

Very poor diversification

The 3 months correlation between MTCGX and Loomis is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding M 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 M Large 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 M 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 M Large i.e., M Large and Loomis Sayles go up and down completely randomly.

Pair Corralation between M Large and Loomis Sayles

Assuming the 90 days horizon M Large Cap is expected to generate 0.93 times more return on investment than Loomis Sayles. However, M Large Cap is 1.07 times less risky than Loomis Sayles. It trades about -0.1 of its potential returns per unit of risk. Loomis Sayles Small is currently generating about -0.21 per unit of risk. If you would invest  3,726  in M Large Cap on October 9, 2024 and sell it today you would lose (282.00) from holding M Large Cap or give up 7.57% of portfolio value over 90 days.

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

M Large Cap  vs.  Loomis Sayles Small

M Large Cap

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days M Large Cap has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, M Large 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 M Large and Loomis Sayles

The main advantage of trading using opposite M Large and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if M Large 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 M 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 Commodity Directory module to find actively traded commodities issued by global exchanges.