Correlation Between DATA and BLZ
Can any of the company-specific risk be diversified away by investing in both DATA and BLZ 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 DATA and BLZ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATA and BLZ, you can compare the effects of market volatilities on DATA and BLZ 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 DATA with a short position of BLZ. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATA and BLZ.
Diversification Opportunities for DATA and BLZ
Very weak diversification
The 3 months correlation between DATA and BLZ is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding DATA and BLZ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BLZ and DATA 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 DATA are associated (or correlated) with BLZ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BLZ has no effect on the direction of DATA i.e., DATA and BLZ go up and down completely randomly.
Pair Corralation between DATA and BLZ
Assuming the 90 days trading horizon DATA is expected to under-perform the BLZ. But the crypto coin apears to be less risky and, when comparing its historical volatility, DATA is 2.25 times less risky than BLZ. The crypto coin trades about -0.03 of its potential returns per unit of risk. The BLZ is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 4.28 in BLZ on February 10, 2025 and sell it today you would lose (0.05) from holding BLZ or give up 1.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DATA vs. BLZ
Performance |
Timeline |
DATA |
BLZ |
DATA and BLZ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATA and BLZ
The main advantage of trading using opposite DATA and BLZ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATA position performs unexpectedly, BLZ 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 BLZ will offset losses from the drop in BLZ's long position.The idea behind DATA and BLZ 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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