Correlation Between US Financial and First National
Can any of the company-specific risk be diversified away by investing in both US Financial and First National 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 US Financial and First National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between US Financial 15 and First National Financial, you can compare the effects of market volatilities on US Financial and First National 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 US Financial with a short position of First National. Check out your portfolio center. Please also check ongoing floating volatility patterns of US Financial and First National.
Diversification Opportunities for US Financial and First National
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FTU-PB and First is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding US Financial 15 and First National Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First National Financial and US 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 US Financial 15 are associated (or correlated) with First National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First National Financial has no effect on the direction of US Financial i.e., US Financial and First National go up and down completely randomly.
Pair Corralation between US Financial and First National
Assuming the 90 days trading horizon US Financial is expected to generate 3.98 times less return on investment than First National. But when comparing it to its historical volatility, US Financial 15 is 1.78 times less risky than First National. It trades about 0.06 of its potential returns per unit of risk. First National Financial is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,479 in First National Financial on September 22, 2024 and sell it today you would earn a total of 91.00 from holding First National Financial or generate 6.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
US Financial 15 vs. First National Financial
Performance |
Timeline |
US Financial 15 |
First National Financial |
US Financial and First National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with US Financial and First National
The main advantage of trading using opposite US Financial and First National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Financial position performs unexpectedly, First National 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 First National will offset losses from the drop in First National's long position.US Financial vs. Brookfield Infrastructure Partners | US Financial vs. Brookfield Office Properties | US Financial vs. Brookfield Office Properties | US Financial vs. Brookfield Infrastructure Partners |
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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