Correlation Between Tensor and EM

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

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

Diversification Opportunities for Tensor and EM

0.0

Correlation Coefficient

Tensor  EM

Pay attention - limited upside

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

Pair Corralation between Tensor and EM

If you would invest  0.01  in EM on December 28, 2024 and sell it today you would earn a total of  0.00  from holding EM or generate 0.0% return on investment over 90 days.

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

Tensor  vs.  EM

Tensor

Risk-Adjusted Performance

Very Weak

Over the last 90 days Tensor has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Tensor shareholders.

EM

Risk-Adjusted Performance

Very Weak

Over the last 90 days EM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, EM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Tensor and EM

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

The idea behind Tensor and EM 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.

Check out your portfolio center.

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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.