Correlation Between IRIS and Sushi

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

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

Diversification Opportunities for IRIS and Sushi

-0.37

Correlation Coefficient

IRIS  Sushi

Very good diversification

The 3 months correlation between IRIS and Sushi is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding IRIS and Sushi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sushi and IRIS 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 IRIS are associated (or correlated) with Sushi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sushi has no effect on the direction of IRIS i.e., IRIS and Sushi go up and down completely randomly.

Pair Corralation between IRIS and Sushi

Assuming the 90 days trading horizon IRIS is expected to generate 2.11 times less return on investment than Sushi. In addition to that, IRIS is 2.21 times more volatile than Sushi. It trades about 0.05 of its total potential returns per unit of risk. Sushi is currently generating about 0.23 per unit of volatility. If you would invest  55.00  in Sushi on September 2, 2024 and sell it today you would earn a total of  79.00  from holding Sushi or generate 143.64% return on investment over 90 days.

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

IRIS  vs.  Sushi

IRIS

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in IRIS are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, IRIS exhibited solid returns over the last few months and may actually be approaching a breakup point.

Sushi

Risk-Adjusted Performance

18 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Sushi are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Sushi exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with IRIS and Sushi

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

The idea behind IRIS and Sushi 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.