Correlation Between BTS and SUN
Can any of the company-specific risk be diversified away by investing in both BTS and SUN 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 BTS and SUN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTS and SUN, you can compare the effects of market volatilities on BTS and SUN 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 BTS with a short position of SUN. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTS and SUN.
Diversification Opportunities for BTS and SUN
Very poor diversification
The 3 months correlation between BTS and SUN is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding BTS and SUN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SUN and BTS 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 BTS are associated (or correlated) with SUN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SUN has no effect on the direction of BTS i.e., BTS and SUN go up and down completely randomly.
Pair Corralation between BTS and SUN
Assuming the 90 days trading horizon BTS is expected to generate 1.45 times more return on investment than SUN. However, BTS is 1.45 times more volatile than SUN. It trades about -0.03 of its potential returns per unit of risk. SUN is currently generating about -0.1 per unit of risk. 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 |
BTS vs. SUN
Performance |
Timeline |
BTS |
SUN |
BTS and SUN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTS and SUN
The main advantage of trading using opposite BTS and SUN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTS position performs unexpectedly, SUN 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 SUN will offset losses from the drop in SUN's long position.The idea behind BTS and SUN 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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |