Correlation Between Qs Large and Mid Cap

Can any of the company-specific risk be diversified away by investing in both Qs Large and Mid Cap 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 Large and Mid Cap 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 Mid Cap Value Profund, you can compare the effects of market volatilities on Qs Large and Mid Cap 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 Large with a short position of Mid Cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qs Large and Mid Cap.

Diversification Opportunities for Qs Large and Mid Cap

0.95

Correlation Coefficient

Qs Large  Mid Cap

Almost no diversification

The 3 months correlation between LMTIX and Mid is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Mid Cap Value Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mid Cap Value and Qs 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 Qs Large Cap are associated (or correlated) with Mid Cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mid Cap Value has no effect on the direction of Qs Large i.e., Qs Large and Mid Cap go up and down completely randomly.

Pair Corralation between Qs Large and Mid Cap

Assuming the 90 days horizon Qs Large Cap is expected to generate 0.91 times more return on investment than Mid Cap. However, Qs Large Cap is 1.1 times less risky than Mid Cap. It trades about 0.03 of its potential returns per unit of risk. Mid Cap Value Profund is currently generating about 0.01 per unit of risk. If you would invest  2,386  in Qs Large Cap on September 22, 2024 and sell it today you would earn a total of  38.00  from holding Qs Large Cap or generate 1.59% return on investment over 90 days.

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

Qs Large Cap  vs.  Mid Cap Value Profund

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 forward indicators, Qs Large is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Mid Cap Value

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mid Cap Value Profund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward indicators, Mid Cap is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Qs Large and Mid Cap

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

The idea behind Qs Large Cap and Mid Cap Value Profund 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.