Correlation Between LBA and XCAD Network
Can any of the company-specific risk be diversified away by investing in both LBA and XCAD Network 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 LBA and XCAD Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LBA and XCAD Network, you can compare the effects of market volatilities on LBA and XCAD Network 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 LBA with a short position of XCAD Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of LBA and XCAD Network.
Diversification Opportunities for LBA and XCAD Network
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between LBA and XCAD is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding LBA and XCAD Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XCAD Network and LBA 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 LBA are associated (or correlated) with XCAD Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XCAD Network has no effect on the direction of LBA i.e., LBA and XCAD Network go up and down completely randomly.
Pair Corralation between LBA and XCAD Network
Assuming the 90 days trading horizon LBA is expected to generate 2.16 times more return on investment than XCAD Network. However, LBA is 2.16 times more volatile than XCAD Network. It trades about 0.07 of its potential returns per unit of risk. XCAD Network is currently generating about -0.42 per unit of risk. If you would invest 0.05 in LBA on January 29, 2024 and sell it today you would earn a total of 0.00 from holding LBA or generate 5.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LBA vs. XCAD Network
Performance |
Timeline |
LBA |
XCAD Network |
LBA and XCAD Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LBA and XCAD Network
The main advantage of trading using opposite LBA and XCAD Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LBA position performs unexpectedly, XCAD Network 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 XCAD Network will offset losses from the drop in XCAD Network's long position.The idea behind LBA and XCAD Network 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.XCAD Network vs. Solana | XCAD Network vs. XRP | XCAD Network vs. Staked Ether | XCAD Network vs. The Open Network |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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