Correlation Between Qs Us and Hartford Global

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

Diversification Opportunities for Qs Us and Hartford Global

0.81

Correlation Coefficient

Qs Us  Hartford Global

Very poor diversification

The 3 months correlation between LMUSX and Hartford is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Hartford Global Impact in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Global Impact and Qs Us 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 Hartford Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Global Impact has no effect on the direction of Qs Us i.e., Qs Us and Hartford Global go up and down completely randomly.

Pair Corralation between Qs Us and Hartford Global

Assuming the 90 days horizon Qs Large Cap is expected to under-perform the Hartford Global. In addition to that, Qs Us is 1.18 times more volatile than Hartford Global Impact. It trades about -0.11 of its total potential returns per unit of risk. Hartford Global Impact is currently generating about -0.01 per unit of volatility. If you would invest  1,538  in Hartford Global Impact on December 29, 2024 and sell it today you would lose (10.00) from holding Hartford Global Impact or give up 0.65% of portfolio value over 90 days.

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

Qs Large Cap  vs.  Hartford Global Impact

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.

Hartford Global Impact

Risk-Adjusted Performance

Very Weak

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

Pair Trading with Qs Us and Hartford Global

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

The idea behind Qs Large Cap and Hartford Global Impact 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.