Correlation Between XRP and TechnipFMC Plc
Can any of the company-specific risk be diversified away by investing in both XRP and TechnipFMC Plc 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 TechnipFMC Plc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XRP and TechnipFMC plc, you can compare the effects of market volatilities on XRP and TechnipFMC Plc 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 TechnipFMC Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and TechnipFMC Plc.
Diversification Opportunities for XRP and TechnipFMC Plc
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between XRP and TechnipFMC is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding XRP and TechnipFMC plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TechnipFMC plc 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 TechnipFMC Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TechnipFMC plc has no effect on the direction of XRP i.e., XRP and TechnipFMC Plc go up and down completely randomly.
Pair Corralation between XRP and TechnipFMC Plc
Assuming the 90 days trading horizon XRP is expected to generate 5.03 times more return on investment than TechnipFMC Plc. However, XRP is 5.03 times more volatile than TechnipFMC plc. It trades about 0.35 of its potential returns per unit of risk. TechnipFMC plc is currently generating about 0.2 per unit of risk. If you would invest 71.00 in XRP on October 12, 2024 and sell it today you would earn a total of 156.00 from holding XRP or generate 219.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 86.36% |
Values | Daily Returns |
XRP vs. TechnipFMC plc
Performance |
Timeline |
XRP |
TechnipFMC plc |
XRP and TechnipFMC Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XRP and TechnipFMC Plc
The main advantage of trading using opposite XRP and TechnipFMC Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, TechnipFMC Plc 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 TechnipFMC Plc will offset losses from the drop in TechnipFMC Plc's long position.The idea behind XRP and TechnipFMC plc 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.TechnipFMC Plc vs. Schlumberger Limited | TechnipFMC Plc vs. Energisa SA | TechnipFMC Plc vs. BTG Pactual Logstica | TechnipFMC Plc vs. Plano Plano Desenvolvimento |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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