Correlation Between Simt Dynamic and Simt Us

Can any of the company-specific risk be diversified away by investing in both Simt Dynamic and Simt Us 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 Simt Dynamic and Simt Us into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Simt Dynamic Asset and Simt Managed Volatility, you can compare the effects of market volatilities on Simt Dynamic and Simt Us 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 Simt Dynamic with a short position of Simt Us. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Dynamic and Simt Us.

Diversification Opportunities for Simt Dynamic and Simt Us

0.87

Correlation Coefficient

Simt Dynamic  Simt Us

Very poor diversification

The 3 months correlation between SIMT and Simt is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Simt Dynamic Asset and Simt Managed Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Managed Volatility and Simt Dynamic 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 Simt Dynamic Asset are associated (or correlated) with Simt Us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Managed Volatility has no effect on the direction of Simt Dynamic i.e., Simt Dynamic and Simt Us go up and down completely randomly.

Pair Corralation between Simt Dynamic and Simt Us

Assuming the 90 days horizon Simt Dynamic Asset is expected to under-perform the Simt Us. In addition to that, Simt Dynamic is 1.65 times more volatile than Simt Managed Volatility. It trades about -0.05 of its total potential returns per unit of risk. Simt Managed Volatility is currently generating about -0.01 per unit of volatility. If you would invest  1,455  in Simt Managed Volatility on February 8, 2025 and sell it today you would lose (29.00) from holding Simt Managed Volatility or give up 1.99% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.19%
Values	Daily Returns

Simt Dynamic Asset  vs.  Simt Managed Volatility

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

Simt Managed Volatility

Risk-Adjusted Performance

Very Weak

Over the last 90 days Simt Managed Volatility has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Simt Us is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Simt Dynamic and Simt Us

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

The idea behind Simt Dynamic Asset and Simt Managed Volatility 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.