Correlation Between Velo and BTS
Can any of the company-specific risk be diversified away by investing in both Velo and BTS 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 Velo and BTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Velo and BTS, you can compare the effects of market volatilities on Velo and BTS 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 Velo with a short position of BTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Velo and BTS.
Diversification Opportunities for Velo and BTS
Very poor diversification
The 3 months correlation between Velo and BTS is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Velo and BTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTS and Velo 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 Velo are associated (or correlated) with BTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTS has no effect on the direction of Velo i.e., Velo and BTS go up and down completely randomly.
Pair Corralation between Velo and BTS
Assuming the 90 days trading horizon Velo is expected to under-perform the BTS. In addition to that, Velo is 1.08 times more volatile than BTS. It trades about -0.09 of its total potential returns per unit of risk. BTS is currently generating about -0.03 per unit of volatility. If you would invest 0.19 in BTS on December 28, 2024 and sell it today you would lose (0.05) from holding BTS or give up 25.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Velo vs. BTS
Performance |
Timeline |
Velo |
BTS |
Velo and BTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Velo and BTS
The main advantage of trading using opposite Velo and BTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Velo position performs unexpectedly, BTS 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 BTS will offset losses from the drop in BTS's long position.The idea behind Velo and BTS 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Complementary Tools
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |