Correlation Between Simt Dynamic and Simt Tax

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

Diversification Opportunities for Simt Dynamic and Simt Tax

0.81

Correlation Coefficient

Simt Dynamic  Simt Tax

Very poor diversification

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

Pair Corralation between Simt Dynamic and Simt Tax

Assuming the 90 days horizon Simt Dynamic Asset is expected to generate 1.04 times more return on investment than Simt Tax. However, Simt Dynamic is 1.04 times more volatile than Simt Tax Managed Large. It trades about -0.14 of its potential returns per unit of risk. Simt Tax Managed Large is currently generating about -0.18 per unit of risk. If you would invest  1,856  in Simt Dynamic Asset on September 19, 2024 and sell it today you would lose (105.00) from holding Simt Dynamic Asset or give up 5.66% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	95.45%
Values	Daily Returns

Simt Dynamic Asset  vs.  Simt Tax Managed Large

Simt Dynamic Asset

Risk-Adjusted Performance

0 of 100

Solid

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 Tax Managed

Risk-Adjusted Performance

0 of 100

OK

Over the last 90 days Simt Tax Managed Large has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Simt Tax 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 Tax

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

The idea behind Simt Dynamic Asset and Simt Tax Managed Large 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.