Correlation Between Travelers Companies and Banco Bilbao
Can any of the company-specific risk be diversified away by investing in both Travelers Companies and Banco Bilbao 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 Travelers Companies and Banco Bilbao into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Travelers Companies and Banco Bilbao Vizcaya, you can compare the effects of market volatilities on Travelers Companies and Banco Bilbao 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 Travelers Companies with a short position of Banco Bilbao. Check out your portfolio center. Please also check ongoing floating volatility patterns of Travelers Companies and Banco Bilbao.
Diversification Opportunities for Travelers Companies and Banco Bilbao
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Travelers and Banco is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding The Travelers Companies and Banco Bilbao Vizcaya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banco Bilbao Vizcaya and Travelers Companies 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 The Travelers Companies are associated (or correlated) with Banco Bilbao. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banco Bilbao Vizcaya has no effect on the direction of Travelers Companies i.e., Travelers Companies and Banco Bilbao go up and down completely randomly.
Pair Corralation between Travelers Companies and Banco Bilbao
Assuming the 90 days trading horizon The Travelers Companies is expected to generate 1.31 times more return on investment than Banco Bilbao. However, Travelers Companies is 1.31 times more volatile than Banco Bilbao Vizcaya. It trades about 0.08 of its potential returns per unit of risk. Banco Bilbao Vizcaya is currently generating about -0.05 per unit of risk. If you would invest 463,517 in The Travelers Companies on September 27, 2024 and sell it today you would earn a total of 61,732 from holding The Travelers Companies or generate 13.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Travelers Companies vs. Banco Bilbao Vizcaya
Performance |
Timeline |
The Travelers Companies |
Banco Bilbao Vizcaya |
Travelers Companies and Banco Bilbao Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Travelers Companies and Banco Bilbao
The main advantage of trading using opposite Travelers Companies and Banco Bilbao positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Travelers Companies position performs unexpectedly, Banco Bilbao 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 Banco Bilbao will offset losses from the drop in Banco Bilbao's long position.Travelers Companies vs. Southern Copper | Travelers Companies vs. NOV Inc | Travelers Companies vs. Tesla Inc | Travelers Companies vs. Walmart |
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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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