Correlation Between Tensor and Convex Finance

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

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

Diversification Opportunities for Tensor and Convex Finance

0.49

Correlation Coefficient

Tensor  Convex Finance

Very weak diversification

The 3 months correlation between Tensor and Convex is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Tensor and Convex Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Convex Finance 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 Convex Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Convex Finance has no effect on the direction of Tensor i.e., Tensor and Convex Finance go up and down completely randomly.

Pair Corralation between Tensor and Convex Finance

Assuming the 90 days trading horizon Tensor is expected to under-perform the Convex Finance. In addition to that, Tensor is 1.06 times more volatile than Convex Finance. It trades about -0.14 of its total potential returns per unit of risk. Convex Finance is currently generating about -0.1 per unit of volatility. If you would invest  450.00  in Convex Finance on December 30, 2024 and sell it today you would lose (236.00) from holding Convex Finance or give up 52.44% of portfolio value over 90 days.

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

Tensor  vs.  Convex Finance

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.

Convex Finance

Risk-Adjusted Performance

Very Weak

Over the last 90 days Convex Finance 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 basic 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 Convex Finance shareholders.

Pair Trading with Tensor and Convex Finance

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

The idea behind Tensor and Convex Finance 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.