Correlation Between Qs Us and Simt Dynamic

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

Diversification Opportunities for Qs Us and Simt Dynamic

0.94

Correlation Coefficient

Qs Us  Simt Dynamic

Almost no diversification

The 3 months correlation between LMISX and Simt is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Simt Dynamic Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Dynamic Asset 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 Simt Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Dynamic Asset has no effect on the direction of Qs Us i.e., Qs Us and Simt Dynamic go up and down completely randomly.

Pair Corralation between Qs Us and Simt Dynamic

Assuming the 90 days horizon Qs Large Cap is expected to generate 0.77 times more return on investment than Simt Dynamic. However, Qs Large Cap is 1.29 times less risky than Simt Dynamic. It trades about -0.1 of its potential returns per unit of risk. Simt Dynamic Asset is currently generating about -0.09 per unit of risk. If you would invest  2,593  in Qs Large Cap on December 1, 2024 and sell it today you would lose (170.00) from holding Qs Large Cap or give up 6.56% of portfolio value over 90 days.

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

Qs Large Cap  vs.  Simt Dynamic Asset

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.

Simt Dynamic Asset

Risk-Adjusted Performance

Very Weak

Over the last 90 days Simt Dynamic Asset 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.

Pair Trading with Qs Us and Simt Dynamic

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

The idea behind Qs Large Cap and Simt Dynamic Asset 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.