Correlation Between SOLVE and BTM
Can any of the company-specific risk be diversified away by investing in both SOLVE and BTM 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 SOLVE and BTM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOLVE and BTM, you can compare the effects of market volatilities on SOLVE and BTM 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 SOLVE with a short position of BTM. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOLVE and BTM.
Diversification Opportunities for SOLVE and BTM
Very weak diversification
The 3 months correlation between SOLVE and BTM is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding SOLVE and BTM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTM and SOLVE 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 SOLVE are associated (or correlated) with BTM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTM has no effect on the direction of SOLVE i.e., SOLVE and BTM go up and down completely randomly.
Pair Corralation between SOLVE and BTM
Assuming the 90 days trading horizon SOLVE is expected to under-perform the BTM. But the crypto coin apears to be less risky and, when comparing its historical volatility, SOLVE is 1.19 times less risky than BTM. The crypto coin trades about -0.3 of its potential returns per unit of risk. The BTM is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1.10 in BTM on February 9, 2024 and sell it today you would lose (0.03) from holding BTM or give up 2.73% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SOLVE vs. BTM
Performance |
| Timeline |
| SOLVE |
| BTM |
SOLVE and BTM Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SOLVE and BTM
The main advantage of trading using opposite SOLVE and BTM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOLVE position performs unexpectedly, BTM 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 BTM will offset losses from the drop in BTM's long position.The idea behind SOLVE and BTM 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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