Correlation Between Simt Real and Sdit Gnma

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

By analyzing existing cross correlation between Simt Real Return and Sdit Gnma Fund, you can compare the effects of market volatilities on Simt Real and Sdit Gnma 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 Real with a short position of Sdit Gnma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Real and Sdit Gnma.

Diversification Opportunities for Simt Real and Sdit Gnma

0.82

Correlation Coefficient

Simt Real  Sdit Gnma

Very poor diversification

The 3 months correlation between Simt and Sdit is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Simt Real Return and Sdit Gnma Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sdit Gnma Fund and Simt Real 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 Real Return are associated (or correlated) with Sdit Gnma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sdit Gnma Fund has no effect on the direction of Simt Real i.e., Simt Real and Sdit Gnma go up and down completely randomly.

Pair Corralation between Simt Real and Sdit Gnma

Assuming the 90 days horizon Simt Real Return is expected to generate 0.5 times more return on investment than Sdit Gnma. However, Simt Real Return is 2.01 times less risky than Sdit Gnma. It trades about -0.07 of its potential returns per unit of risk. Sdit Gnma Fund is currently generating about -0.16 per unit of risk. If you would invest  969.00  in Simt Real Return on September 19, 2024 and sell it today you would lose (6.00) from holding Simt Real Return or give up 0.62% of portfolio value over 90 days.

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

Simt Real Return  vs.  Sdit Gnma Fund

Simt Real Return

Risk-Adjusted Performance

0 of 100

Very Weak

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

Sdit Gnma Fund

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Sdit Gnma Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong primary indicators, Sdit Gnma 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 Real and Sdit Gnma

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

The idea behind Simt Real Return and Sdit Gnma Fund 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.