Correlation Between Central Pacific and Bank Central
Can any of the company-specific risk be diversified away by investing in both Central Pacific and Bank Central 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 Central Pacific and Bank Central into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Central Pacific Financial and Bank Central Asia, you can compare the effects of market volatilities on Central Pacific and Bank Central 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 Central Pacific with a short position of Bank Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Pacific and Bank Central.
Diversification Opportunities for Central Pacific and Bank Central
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Central and Bank is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Central Pacific Financial and Bank Central Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Central Asia and Central Pacific 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 Central Pacific Financial are associated (or correlated) with Bank Central. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Central Asia has no effect on the direction of Central Pacific i.e., Central Pacific and Bank Central go up and down completely randomly.
Pair Corralation between Central Pacific and Bank Central
Considering the 90-day investment horizon Central Pacific Financial is expected to generate 1.6 times more return on investment than Bank Central. However, Central Pacific is 1.6 times more volatile than Bank Central Asia. It trades about 0.06 of its potential returns per unit of risk. Bank Central Asia is currently generating about 0.03 per unit of risk. If you would invest 1,757 in Central Pacific Financial on September 4, 2024 and sell it today you would earn a total of 1,363 from holding Central Pacific Financial or generate 77.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Central Pacific Financial vs. Bank Central Asia
Performance |
Timeline |
Central Pacific Financial |
Bank Central Asia |
Central Pacific and Bank Central Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Pacific and Bank Central
The main advantage of trading using opposite Central Pacific and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Pacific position performs unexpectedly, Bank Central 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 Bank Central will offset losses from the drop in Bank Central's long position.Central Pacific vs. Bank of Hawaii | Central Pacific vs. Territorial Bancorp | Central Pacific vs. First Bancorp | Central Pacific vs. Hancock Whitney Corp |
Bank Central vs. First Hawaiian | Bank Central vs. Central Pacific Financial | Bank Central vs. Territorial Bancorp | Bank Central vs. Comerica |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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