Correlation Between Qs Large and Amg Managers

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

Diversification Opportunities for Qs Large and Amg Managers

0.21

Correlation Coefficient

Qs Large  Amg Managers

Modest diversification

The 3 months correlation between LMUSX and Amg is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Amg Managers Brandywine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Brandywine 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 Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Brandywine has no effect on the direction of Qs Large i.e., Qs Large and Amg Managers go up and down completely randomly.

Pair Corralation between Qs Large and Amg Managers

Assuming the 90 days horizon Qs Large Cap is expected to under-perform the Amg Managers. In addition to that, Qs Large is 2.22 times more volatile than Amg Managers Brandywine. It trades about -0.2 of its total potential returns per unit of risk. Amg Managers Brandywine is currently generating about -0.38 per unit of volatility. If you would invest  4,019  in Amg Managers Brandywine on December 2, 2024 and sell it today you would lose (119.00) from holding Amg Managers Brandywine or give up 2.96% of portfolio value over 90 days.

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

Qs Large Cap  vs.  Amg Managers Brandywine

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.

Amg Managers Brandywine

Risk-Adjusted Performance

Very Weak

Over the last 90 days Amg Managers Brandywine has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, Amg Managers 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 Amg Managers

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

The idea behind Qs Large Cap and Amg Managers Brandywine 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.

Check out your portfolio center.

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.