Correlation Between Stratasys and ALLSTATE

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

By analyzing existing cross correlation between Stratasys and ALLSTATE P 328, you can compare the effects of market volatilities on Stratasys and ALLSTATE 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 Stratasys with a short position of ALLSTATE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stratasys and ALLSTATE.

Diversification Opportunities for Stratasys and ALLSTATE

-0.37

Correlation Coefficient

Stratasys  ALLSTATE

Very good diversification

The 3 months correlation between Stratasys and ALLSTATE is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Stratasys and ALLSTATE P 328 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALLSTATE P 328 and Stratasys 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 Stratasys are associated (or correlated) with ALLSTATE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALLSTATE P 328 has no effect on the direction of Stratasys i.e., Stratasys and ALLSTATE go up and down completely randomly.

Pair Corralation between Stratasys and ALLSTATE

Given the investment horizon of 90 days Stratasys is expected to generate 15.88 times more return on investment than ALLSTATE. However, Stratasys is 15.88 times more volatile than ALLSTATE P 328. It trades about 0.06 of its potential returns per unit of risk. ALLSTATE P 328 is currently generating about -0.02 per unit of risk. If you would invest  936.00  in Stratasys on December 26, 2024 and sell it today you would earn a total of  87.00  from holding Stratasys or generate 9.29% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	86.67%
Values	Daily Returns

Stratasys  vs.  ALLSTATE P 328

Stratasys

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Stratasys are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating basic indicators, Stratasys unveiled solid returns over the last few months and may actually be approaching a breakup point.

ALLSTATE P 328

Risk-Adjusted Performance

Very Weak

Over the last 90 days ALLSTATE P 328 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, ALLSTATE is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Stratasys and ALLSTATE

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

The idea behind Stratasys and ALLSTATE P 328 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.