Correlation Between Flare and BORA
Can any of the company-specific risk be diversified away by investing in both Flare and BORA 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 Flare and BORA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flare and BORA, you can compare the effects of market volatilities on Flare and BORA 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 Flare with a short position of BORA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flare and BORA.
Diversification Opportunities for Flare and BORA
Very poor diversification
The 3 months correlation between Flare and BORA is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Flare and BORA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BORA and Flare 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 Flare are associated (or correlated) with BORA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BORA has no effect on the direction of Flare i.e., Flare and BORA go up and down completely randomly.
Pair Corralation between Flare and BORA
Assuming the 90 days trading horizon Flare is expected to generate 1.29 times more return on investment than BORA. However, Flare is 1.29 times more volatile than BORA. It trades about 0.17 of its potential returns per unit of risk. BORA is currently generating about 0.21 per unit of risk. If you would invest 1.52 in Flare on September 2, 2024 and sell it today you would earn a total of 1.29 from holding Flare or generate 84.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Flare vs. BORA
Performance |
Timeline |
Flare |
BORA |
Flare and BORA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flare and BORA
The main advantage of trading using opposite Flare and BORA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flare position performs unexpectedly, BORA 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 BORA will offset losses from the drop in BORA's long position.The idea behind Flare and BORA 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Money Managers Screen money managers from public funds and ETFs managed around the world |