Correlation Between AOYAMA TRADING and Ping An
Can any of the company-specific risk be diversified away by investing in both AOYAMA TRADING and Ping An 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 AOYAMA TRADING and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AOYAMA TRADING and Ping An Insurance, you can compare the effects of market volatilities on AOYAMA TRADING and Ping An 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 AOYAMA TRADING with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of AOYAMA TRADING and Ping An.
Diversification Opportunities for AOYAMA TRADING and Ping An
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between AOYAMA and Ping is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding AOYAMA TRADING and Ping An Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Insurance and AOYAMA TRADING 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 AOYAMA TRADING are associated (or correlated) with Ping An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ping An Insurance has no effect on the direction of AOYAMA TRADING i.e., AOYAMA TRADING and Ping An go up and down completely randomly.
Pair Corralation between AOYAMA TRADING and Ping An
Assuming the 90 days horizon AOYAMA TRADING is expected to generate 1.11 times more return on investment than Ping An. However, AOYAMA TRADING is 1.11 times more volatile than Ping An Insurance. It trades about 0.19 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.14 per unit of risk. If you would invest 840.00 in AOYAMA TRADING on September 17, 2024 and sell it today you would earn a total of 570.00 from holding AOYAMA TRADING or generate 67.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AOYAMA TRADING vs. Ping An Insurance
Performance |
Timeline |
AOYAMA TRADING |
Ping An Insurance |
AOYAMA TRADING and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AOYAMA TRADING and Ping An
The main advantage of trading using opposite AOYAMA TRADING and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AOYAMA TRADING position performs unexpectedly, Ping An 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 Ping An will offset losses from the drop in Ping An's long position.AOYAMA TRADING vs. Burlington Stores | AOYAMA TRADING vs. Caseys General Stores | AOYAMA TRADING vs. Ross Stores | AOYAMA TRADING vs. Columbia Sportswear |
Ping An vs. EAST SIDE GAMES | Ping An vs. PLAYMATES TOYS | Ping An vs. International Game Technology | Ping An vs. QUEEN S ROAD |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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