Correlation Between XRP and Legend Power
Can any of the company-specific risk be diversified away by investing in both XRP and Legend Power 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 XRP and Legend Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XRP and Legend Power Systems, you can compare the effects of market volatilities on XRP and Legend Power 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 XRP with a short position of Legend Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and Legend Power.
Diversification Opportunities for XRP and Legend Power
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between XRP and Legend is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding XRP and Legend Power Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Legend Power Systems and XRP 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 XRP are associated (or correlated) with Legend Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Legend Power Systems has no effect on the direction of XRP i.e., XRP and Legend Power go up and down completely randomly.
Pair Corralation between XRP and Legend Power
Assuming the 90 days trading horizon XRP is expected to generate 1.86 times more return on investment than Legend Power. However, XRP is 1.86 times more volatile than Legend Power Systems. It trades about 0.42 of its potential returns per unit of risk. Legend Power Systems is currently generating about -0.03 per unit of risk. If you would invest 56.00 in XRP on October 9, 2024 and sell it today you would earn a total of 186.00 from holding XRP or generate 332.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
XRP vs. Legend Power Systems
Performance |
Timeline |
XRP |
Legend Power Systems |
XRP and Legend Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XRP and Legend Power
The main advantage of trading using opposite XRP and Legend Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, Legend Power 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 Legend Power will offset losses from the drop in Legend Power's long position.The idea behind XRP and Legend Power Systems 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.Legend Power vs. Kraken Robotics | Legend Power vs. Lite Access Technologies | Legend Power vs. DynaCERT | Legend Power vs. Aurora Solar Technologies |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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