Correlation Between Visa and Transat AT
Can any of the company-specific risk be diversified away by investing in both Visa and Transat AT 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 Transat AT 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 Transat AT, you can compare the effects of market volatilities on Visa and Transat AT 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 Transat AT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Transat AT.
Diversification Opportunities for Visa and Transat AT
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Visa and Transat is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Transat AT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transat AT 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 Transat AT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transat AT has no effect on the direction of Visa i.e., Visa and Transat AT go up and down completely randomly.
Pair Corralation between Visa and Transat AT
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.51 times more return on investment than Transat AT. However, Visa Class A is 1.97 times less risky than Transat AT. It trades about 0.12 of its potential returns per unit of risk. Transat AT is currently generating about 0.03 per unit of risk. If you would invest 28,808 in Visa Class A on September 21, 2024 and sell it today you would earn a total of 2,963 from holding Visa Class A or generate 10.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Visa Class A vs. Transat AT
Performance |
Timeline |
Visa Class A |
Transat AT |
Visa and Transat AT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Transat AT
The main advantage of trading using opposite Visa and Transat AT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Transat AT 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 Transat AT will offset losses from the drop in Transat AT's long position.The idea behind Visa Class A and Transat AT 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.Transat AT vs. Chorus Aviation | Transat AT vs. Cineplex | Transat AT vs. Lion Electric Corp | Transat AT vs. Air Canada |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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