Correlation Between XRP and IG Petrochemicals
Can any of the company-specific risk be diversified away by investing in both XRP and IG Petrochemicals 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 IG Petrochemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XRP and IG Petrochemicals Limited, you can compare the effects of market volatilities on XRP and IG Petrochemicals 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 IG Petrochemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of XRP and IG Petrochemicals.
Diversification Opportunities for XRP and IG Petrochemicals
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between XRP and IGPL is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding XRP and IG Petrochemicals Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IG Petrochemicals 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 IG Petrochemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IG Petrochemicals has no effect on the direction of XRP i.e., XRP and IG Petrochemicals go up and down completely randomly.
Pair Corralation between XRP and IG Petrochemicals
Assuming the 90 days trading horizon XRP is expected to generate 2.28 times more return on investment than IG Petrochemicals. However, XRP is 2.28 times more volatile than IG Petrochemicals Limited. It trades about -0.03 of its potential returns per unit of risk. IG Petrochemicals Limited is currently generating about -0.26 per unit of risk. If you would invest 240.00 in XRP on October 11, 2024 and sell it today you would lose (13.00) from holding XRP or give up 5.42% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
XRP vs. IG Petrochemicals Limited
Performance |
| Timeline |
| XRP |
| IG Petrochemicals |
XRP and IG Petrochemicals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with XRP and IG Petrochemicals
The main advantage of trading using opposite XRP and IG Petrochemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XRP position performs unexpectedly, IG Petrochemicals 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 IG Petrochemicals will offset losses from the drop in IG Petrochemicals' long position.The idea behind XRP and IG Petrochemicals Limited 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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