Correlation Between SC and Tensor
Can any of the company-specific risk be diversified away by investing in both SC and Tensor 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 SC and Tensor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SC and Tensor, you can compare the effects of market volatilities on SC and Tensor 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 SC with a short position of Tensor. Check out your portfolio center. Please also check ongoing floating volatility patterns of SC and Tensor.
Diversification Opportunities for SC and Tensor
Poor diversification
The 3 months correlation between SC and Tensor is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding SC and Tensor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tensor and SC 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 SC are associated (or correlated) with Tensor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tensor has no effect on the direction of SC i.e., SC and Tensor go up and down completely randomly.
Pair Corralation between SC and Tensor
Assuming the 90 days horizon SC is expected to under-perform the Tensor. But the crypto coin apears to be less risky and, when comparing its historical volatility, SC is 1.41 times less risky than Tensor. The crypto coin trades about -0.2 of its potential returns per unit of risk. The Tensor is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 73.00 in Tensor on December 1, 2024 and sell it today you would lose (23.00) from holding Tensor or give up 31.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SC vs. Tensor
Performance |
Timeline |
SC |
Tensor |
SC and Tensor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SC and Tensor
The main advantage of trading using opposite SC and Tensor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SC position performs unexpectedly, Tensor 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 Tensor will offset losses from the drop in Tensor's long position.The idea behind SC and Tensor 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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