Correlation Between Visa and Pimco All
Can any of the company-specific risk be diversified away by investing in both Visa and Pimco All 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 Visa and Pimco All into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and Pimco All Asset, you can compare the effects of market volatilities on Visa and Pimco All 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 Visa with a short position of Pimco All. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Pimco All.
Diversification Opportunities for Visa and Pimco All
Very good diversification
The 3 months correlation between Visa and Pimco is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Pimco All Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco All Asset and Visa 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 Visa Class A are associated (or correlated) with Pimco All. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco All Asset has no effect on the direction of Visa i.e., Visa and Pimco All go up and down completely randomly.
Pair Corralation between Visa and Pimco All
Taking into account the 90-day investment horizon Visa Class A is expected to generate 2.43 times more return on investment than Pimco All. However, Visa is 2.43 times more volatile than Pimco All Asset. It trades about 0.16 of its potential returns per unit of risk. Pimco All Asset is currently generating about -0.19 per unit of risk. If you would invest 30,739 in Visa Class A on September 21, 2024 and sell it today you would earn a total of 1,032 from holding Visa Class A or generate 3.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Visa Class A vs. Pimco All Asset
Performance |
Timeline |
Visa Class A |
Pimco All Asset |
Visa and Pimco All Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Pimco All
The main advantage of trading using opposite Visa and Pimco All positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Pimco All 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 Pimco All will offset losses from the drop in Pimco All's long position.The idea behind Visa Class A and Pimco All Asset 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.Pimco All vs. Oil Gas Ultrasector | Pimco All vs. Invesco Energy Fund | Pimco All vs. Alpsalerian Energy Infrastructure | Pimco All vs. Goehring Rozencwajg Resources |
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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