Correlation Between Siit Large and Us Vector

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

By analyzing existing cross correlation between Siit Large Cap and Us Vector Equity, you can compare the effects of market volatilities on Siit Large and Us Vector 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 Siit Large with a short position of Us Vector. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Large and Us Vector.

Diversification Opportunities for Siit Large and Us Vector

0.62

Correlation Coefficient

Siit Large  Us Vector

Poor diversification

The 3 months correlation between Siit and DFVEX is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Siit Large Cap and Us Vector Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Us Vector Equity and Siit 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 Siit Large Cap are associated (or correlated) with Us Vector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Us Vector Equity has no effect on the direction of Siit Large i.e., Siit Large and Us Vector go up and down completely randomly.

Pair Corralation between Siit Large and Us Vector

Assuming the 90 days horizon Siit Large Cap is expected to under-perform the Us Vector. In addition to that, Siit Large is 3.07 times more volatile than Us Vector Equity. It trades about -0.21 of its total potential returns per unit of risk. Us Vector Equity is currently generating about -0.24 per unit of volatility. If you would invest  2,874  in Us Vector Equity on October 9, 2024 and sell it today you would lose (128.00) from holding Us Vector Equity or give up 4.45% of portfolio value over 90 days.

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

Siit Large Cap  vs.  Us Vector Equity

Siit Large Cap

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Siit 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.

Us Vector Equity

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Us Vector Equity are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical and fundamental indicators, Us Vector is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Siit Large and Us Vector

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

The idea behind Siit Large Cap and Us Vector Equity 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.