Correlation Between Tensor and Render Network

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

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

Diversification Opportunities for Tensor and Render Network

0.83

Correlation Coefficient

Tensor  Render Network

Very poor diversification

The 3 months correlation between Tensor and Render is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Tensor and Render Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Render Network 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 Render Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Render Network has no effect on the direction of Tensor i.e., Tensor and Render Network go up and down completely randomly.

Pair Corralation between Tensor and Render Network

Assuming the 90 days trading horizon Tensor is expected to generate 1.06 times more return on investment than Render Network. However, Tensor is 1.06 times more volatile than Render Network. It trades about 0.2 of its potential returns per unit of risk. Render Network is currently generating about 0.17 per unit of risk. If you would invest  31.00  in Tensor on September 2, 2024 and sell it today you would earn a total of  39.00  from holding Tensor or generate 125.81% return on investment over 90 days.

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

Tensor  vs.  Render Network

Tensor

Risk-Adjusted Performance

16 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Tensor are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Tensor exhibited solid returns over the last few months and may actually be approaching a breakup point.

Render Network

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Render Network are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, Render Network sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Tensor and Render Network

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

The idea behind Tensor and Render Network 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.