Correlation Between Bitcoin SV and Tensor

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

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

Diversification Opportunities for Bitcoin SV and Tensor

0.45

Correlation Coefficient

Bitcoin SV  Tensor

Very weak diversification

The 3 months correlation between Bitcoin and Tensor is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin SV and Tensor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tensor and Bitcoin SV 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 Bitcoin SV 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 Bitcoin SV i.e., Bitcoin SV and Tensor go up and down completely randomly.

Pair Corralation between Bitcoin SV and Tensor

Assuming the 90 days trading horizon Bitcoin SV is expected to generate 0.63 times more return on investment than Tensor. However, Bitcoin SV is 1.58 times less risky than Tensor. It trades about -0.11 of its potential returns per unit of risk. Tensor is currently generating about -0.14 per unit of risk. If you would invest  5,034  in Bitcoin SV on December 30, 2024 and sell it today you would lose (1,896) from holding Bitcoin SV or give up 37.66% of portfolio value over 90 days.

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

Bitcoin SV  vs.  Tensor

Bitcoin SV

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bitcoin SV 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 Bitcoin SV shareholders.

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.

Pair Trading with Bitcoin SV and Tensor

The main advantage of trading using opposite Bitcoin SV and Tensor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin SV 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 Bitcoin SV 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.

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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.