Correlation Between Qs Large and First Eagle

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

Diversification Opportunities for Qs Large and First Eagle

0.41

Correlation Coefficient

Qs Large  First Eagle

Very weak diversification

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

Pair Corralation between Qs Large and First Eagle

Assuming the 90 days horizon Qs Large Cap is expected to generate 0.98 times more return on investment than First Eagle. However, Qs Large Cap is 1.02 times less risky than First Eagle. It trades about 0.27 of its potential returns per unit of risk. First Eagle Fund is currently generating about -0.03 per unit of risk. If you would invest  2,327  in Qs Large Cap on September 12, 2024 and sell it today you would earn a total of  289.00  from holding Qs Large Cap or generate 12.42% return on investment over 90 days.

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

Qs Large Cap  vs.  First Eagle Fund

Qs Large Cap

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Qs Large Cap are ranked lower than 20 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Qs Large may actually be approaching a critical reversion point that can send shares even higher in January 2025.

First Eagle Fund

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days First Eagle Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, First Eagle 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 First Eagle

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

The idea behind Qs Large Cap and First Eagle 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.