Correlation Between Qs Large and Classic Value

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

Diversification Opportunities for Qs Large and Classic Value

0.74

Correlation Coefficient

Qs Large  Classic Value

Poor diversification

The 3 months correlation between LMUSX and Classic is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Classic Value Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Classic 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 Classic Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Classic Value has no effect on the direction of Qs Large i.e., Qs Large and Classic Value go up and down completely randomly.

Pair Corralation between Qs Large and Classic Value

Assuming the 90 days horizon Qs Large Cap is expected to under-perform the Classic Value. In addition to that, Qs Large is 1.34 times more volatile than Classic Value Fund. It trades about -0.25 of its total potential returns per unit of risk. Classic Value Fund is currently generating about -0.04 per unit of volatility. If you would invest  2,484  in Classic Value Fund on December 4, 2024 and sell it today you would lose (14.00) from holding Classic Value Fund or give up 0.56% 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.  Classic Value Fund

Qs Large Cap

Risk-Adjusted Performance

Very Weak

Over the last 90 days Qs Large Cap 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.

Classic Value

Risk-Adjusted Performance

Very Weak

Over the last 90 days Classic Value Fund 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 Qs Large and Classic Value

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

The idea behind Qs Large Cap and Classic Value Fund 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..