Correlation Between BKSY WT and Dow Jones
Can any of the company-specific risk be diversified away by investing in both BKSY WT and Dow Jones 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 BKSY WT and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BKSY WT and Dow Jones Industrial, you can compare the effects of market volatilities on BKSY WT and Dow Jones 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 BKSY WT with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of BKSY WT and Dow Jones.
Diversification Opportunities for BKSY WT and Dow Jones
Weak diversification
The 3 months correlation between BKSY and Dow is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding BKSY WT and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and BKSY WT 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 BKSY WT are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of BKSY WT i.e., BKSY WT and Dow Jones go up and down completely randomly.
Pair Corralation between BKSY WT and Dow Jones
Assuming the 90 days trading horizon BKSY WT is expected to generate 25.65 times more return on investment than Dow Jones. However, BKSY WT is 25.65 times more volatile than Dow Jones Industrial. It trades about 0.12 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.12 per unit of risk. If you would invest 3.45 in BKSY WT on August 31, 2024 and sell it today you would earn a total of 3.94 from holding BKSY WT or generate 114.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 28.34% |
Values | Daily Returns |
BKSY WT vs. Dow Jones Industrial
Performance |
Timeline |
BKSY WT and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
BKSY WT
Pair trading matchups for BKSY WT
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with BKSY WT and Dow Jones
The main advantage of trading using opposite BKSY WT and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BKSY WT position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.The idea behind BKSY WT and Dow Jones Industrial 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.Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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