Correlation Between Qs Large and Hunter Small

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

Diversification Opportunities for Qs Large and Hunter Small

0.87

Correlation Coefficient

Qs Large  Hunter Small

Very poor diversification

The 3 months correlation between LMUSX and Hunter is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Hunter Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hunter Small Cap 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 Hunter Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hunter Small Cap has no effect on the direction of Qs Large i.e., Qs Large and Hunter Small go up and down completely randomly.

Pair Corralation between Qs Large and Hunter Small

Assuming the 90 days horizon Qs Large Cap is expected to generate 1.18 times more return on investment than Hunter Small. However, Qs Large is 1.18 times more volatile than Hunter Small Cap. It trades about -0.15 of its potential returns per unit of risk. Hunter Small Cap is currently generating about -0.22 per unit of risk. If you would invest  2,539  in Qs Large Cap on September 21, 2024 and sell it today you would lose (97.00) from holding Qs Large Cap or give up 3.82% 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.  Hunter Small Cap

Qs Large Cap

Risk-Adjusted Performance

2 of 100

OK

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

Hunter Small Cap

Risk-Adjusted Performance

0 of 100

Very Weak

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

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

The idea behind Qs Large Cap and Hunter Small Cap 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.