Correlation Between First Financial and Taylor Calvin
Can any of the company-specific risk be diversified away by investing in both First Financial and Taylor Calvin 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 First Financial and Taylor Calvin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Financial Northwest and Taylor Calvin B, you can compare the effects of market volatilities on First Financial and Taylor Calvin 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 First Financial with a short position of Taylor Calvin. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Financial and Taylor Calvin.
Diversification Opportunities for First Financial and Taylor Calvin
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between First and Taylor is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding First Financial Northwest and Taylor Calvin B in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taylor Calvin B and First Financial 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 First Financial Northwest are associated (or correlated) with Taylor Calvin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taylor Calvin B has no effect on the direction of First Financial i.e., First Financial and Taylor Calvin go up and down completely randomly.
Pair Corralation between First Financial and Taylor Calvin
Given the investment horizon of 90 days First Financial is expected to generate 108.6 times less return on investment than Taylor Calvin. But when comparing it to its historical volatility, First Financial Northwest is 1.69 times less risky than Taylor Calvin. It trades about 0.0 of its potential returns per unit of risk. Taylor Calvin B is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 4,500 in Taylor Calvin B on September 3, 2024 and sell it today you would earn a total of 131.00 from holding Taylor Calvin B or generate 2.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Financial Northwest vs. Taylor Calvin B
Performance |
Timeline |
First Financial Northwest |
Taylor Calvin B |
First Financial and Taylor Calvin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Financial and Taylor Calvin
The main advantage of trading using opposite First Financial and Taylor Calvin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Financial position performs unexpectedly, Taylor Calvin 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 Taylor Calvin will offset losses from the drop in Taylor Calvin's long position.First Financial vs. JPMorgan Chase Co | First Financial vs. Citigroup | First Financial vs. Wells Fargo | First Financial vs. Toronto Dominion Bank |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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