Correlation Between Arhaus and SSMTF

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

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

Diversification Opportunities for Arhaus and SSMTF

0.0

Correlation Coefficient

Arhaus  SSMTF

Pay attention - limited upside

The 3 months correlation between Arhaus and SSMTF is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Arhaus Inc and SSMTF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSMTF and Arhaus 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 Arhaus Inc are associated (or correlated) with SSMTF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSMTF has no effect on the direction of Arhaus i.e., Arhaus and SSMTF go up and down completely randomly.

Pair Corralation between Arhaus and SSMTF

If you would invest  0.15  in SSMTF on October 8, 2024 and sell it today you would earn a total of  0.00  from holding SSMTF or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	95.0%
Values	Daily Returns

Arhaus Inc  vs.  SSMTF

Arhaus Inc

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Arhaus Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest conflicting performance, the Stock's technical indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

SSMTF

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SSMTF has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, SSMTF is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Arhaus and SSMTF

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

The idea behind Arhaus Inc and SSMTF 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.