Correlation Between AOYAMA TRADING and Ameriprise Financial
Can any of the company-specific risk be diversified away by investing in both AOYAMA TRADING and Ameriprise Financial 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 Ameriprise Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AOYAMA TRADING and Ameriprise Financial, you can compare the effects of market volatilities on AOYAMA TRADING and Ameriprise Financial 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 Ameriprise Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of AOYAMA TRADING and Ameriprise Financial.
Diversification Opportunities for AOYAMA TRADING and Ameriprise Financial
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AOYAMA and Ameriprise is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding AOYAMA TRADING and Ameriprise Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ameriprise Financial 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 Ameriprise Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ameriprise Financial has no effect on the direction of AOYAMA TRADING i.e., AOYAMA TRADING and Ameriprise Financial go up and down completely randomly.
Pair Corralation between AOYAMA TRADING and Ameriprise Financial
Assuming the 90 days horizon AOYAMA TRADING is expected to generate 2.35 times more return on investment than Ameriprise Financial. However, AOYAMA TRADING is 2.35 times more volatile than Ameriprise Financial. It trades about 0.19 of its potential returns per unit of risk. Ameriprise Financial is currently generating about 0.16 per unit of risk. If you would invest 825.00 in AOYAMA TRADING on September 22, 2024 and sell it today you would earn a total of 555.00 from holding AOYAMA TRADING or generate 67.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AOYAMA TRADING vs. Ameriprise Financial
Performance |
Timeline |
AOYAMA TRADING |
Ameriprise Financial |
AOYAMA TRADING and Ameriprise Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AOYAMA TRADING and Ameriprise Financial
The main advantage of trading using opposite AOYAMA TRADING and Ameriprise Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AOYAMA TRADING position performs unexpectedly, Ameriprise Financial 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 Ameriprise Financial will offset losses from the drop in Ameriprise Financial's long position.AOYAMA TRADING vs. Perseus Mining Limited | AOYAMA TRADING vs. Western Copper and | AOYAMA TRADING vs. Norwegian Air Shuttle | AOYAMA TRADING vs. LION ONE METALS |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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