Correlation Between Ping An and YATRA ONLINE
Can any of the company-specific risk be diversified away by investing in both Ping An and YATRA ONLINE 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 Ping An and YATRA ONLINE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ping An Insurance and YATRA ONLINE DL 0001, you can compare the effects of market volatilities on Ping An and YATRA ONLINE 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 Ping An with a short position of YATRA ONLINE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and YATRA ONLINE.
Diversification Opportunities for Ping An and YATRA ONLINE
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ping and YATRA is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and YATRA ONLINE DL 0001 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YATRA ONLINE DL and Ping An 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 Ping An Insurance are associated (or correlated) with YATRA ONLINE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YATRA ONLINE DL has no effect on the direction of Ping An i.e., Ping An and YATRA ONLINE go up and down completely randomly.
Pair Corralation between Ping An and YATRA ONLINE
Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.82 times more return on investment than YATRA ONLINE. However, Ping An Insurance is 1.22 times less risky than YATRA ONLINE. It trades about 0.0 of its potential returns per unit of risk. YATRA ONLINE DL 0001 is currently generating about -0.02 per unit of risk. If you would invest 565.00 in Ping An Insurance on September 21, 2024 and sell it today you would lose (4.00) from holding Ping An Insurance or give up 0.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ping An Insurance vs. YATRA ONLINE DL 0001
Performance |
Timeline |
Ping An Insurance |
YATRA ONLINE DL |
Ping An and YATRA ONLINE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and YATRA ONLINE
The main advantage of trading using opposite Ping An and YATRA ONLINE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, YATRA ONLINE 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 YATRA ONLINE will offset losses from the drop in YATRA ONLINE's long position.The idea behind Ping An Insurance and YATRA ONLINE DL 0001 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.YATRA ONLINE vs. Ping An Insurance | YATRA ONLINE vs. SUN ART RETAIL | YATRA ONLINE vs. BJs Wholesale Club | YATRA ONLINE vs. Magic Software Enterprises |
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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