Correlation Between M Large and Alger Small

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

Diversification Opportunities for M Large and Alger Small

0.41

Correlation Coefficient

M Large  Alger Small

Very weak diversification

The 3 months correlation between MTCGX and Alger is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding M Large Cap and Alger Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Small Cap 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 Alger Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Small Cap has no effect on the direction of M Large i.e., M Large and Alger Small go up and down completely randomly.

Pair Corralation between M Large and Alger Small

Assuming the 90 days horizon M Large Cap is expected to generate 0.9 times more return on investment than Alger Small. However, M Large Cap is 1.11 times less risky than Alger Small. It trades about -0.07 of its potential returns per unit of risk. Alger Small Cap is currently generating about -0.12 per unit of risk. If you would invest  3,340  in M Large Cap on December 28, 2024 and sell it today you would lose (244.00) from holding M Large Cap or give up 7.31% of portfolio value over 90 days.

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

M Large Cap  vs.  Alger Small Cap

M Large Cap

Risk-Adjusted Performance

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 latest weak performance, the Fund's technical and fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Alger Small Cap

Risk-Adjusted Performance

Very Weak

Over the last 90 days Alger Small Cap has generated negative risk-adjusted returns adding no value to fund investors. In spite of weak performance in the last few months, the Fund's forward indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the fund investors.

Pair Trading with M Large and Alger Small

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

The idea behind M Large Cap and Alger Small Cap 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.