Correlation Between Ping An and MTI WIRELESS
Can any of the company-specific risk be diversified away by investing in both Ping An and MTI WIRELESS 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 MTI WIRELESS 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 MTI WIRELESS EDGE, you can compare the effects of market volatilities on Ping An and MTI WIRELESS 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 MTI WIRELESS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and MTI WIRELESS.
Diversification Opportunities for Ping An and MTI WIRELESS
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ping and MTI is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and MTI WIRELESS EDGE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTI WIRELESS EDGE 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 MTI WIRELESS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTI WIRELESS EDGE has no effect on the direction of Ping An i.e., Ping An and MTI WIRELESS go up and down completely randomly.
Pair Corralation between Ping An and MTI WIRELESS
Assuming the 90 days trading horizon Ping An Insurance is expected to generate 0.7 times more return on investment than MTI WIRELESS. However, Ping An Insurance is 1.43 times less risky than MTI WIRELESS. It trades about 0.08 of its potential returns per unit of risk. MTI WIRELESS EDGE is currently generating about 0.03 per unit of risk. If you would invest 235.00 in Ping An Insurance on September 13, 2024 and sell it today you would earn a total of 336.00 from holding Ping An Insurance or generate 142.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ping An Insurance vs. MTI WIRELESS EDGE
Performance |
Timeline |
Ping An Insurance |
MTI WIRELESS EDGE |
Ping An and MTI WIRELESS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and MTI WIRELESS
The main advantage of trading using opposite Ping An and MTI WIRELESS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, MTI WIRELESS 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 MTI WIRELESS will offset losses from the drop in MTI WIRELESS's long position.The idea behind Ping An Insurance and MTI WIRELESS EDGE 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.MTI WIRELESS vs. United Insurance Holdings | MTI WIRELESS vs. Ping An Insurance | MTI WIRELESS vs. QBE Insurance Group | MTI WIRELESS vs. VIAPLAY GROUP AB |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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