Correlation Between Territorial Bancorp and Bank Central
Can any of the company-specific risk be diversified away by investing in both Territorial Bancorp 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 Territorial Bancorp and Bank Central into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Territorial Bancorp and Bank Central Asia, you can compare the effects of market volatilities on Territorial Bancorp 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 Territorial Bancorp with a short position of Bank Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of Territorial Bancorp and Bank Central.
Diversification Opportunities for Territorial Bancorp and Bank Central
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Territorial and Bank is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Territorial Bancorp 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 Territorial Bancorp 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 Territorial Bancorp 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 Territorial Bancorp i.e., Territorial Bancorp and Bank Central go up and down completely randomly.
Pair Corralation between Territorial Bancorp and Bank Central
Given the investment horizon of 90 days Territorial Bancorp is expected to generate 1.64 times more return on investment than Bank Central. However, Territorial Bancorp is 1.64 times more volatile than Bank Central Asia. It trades about 0.09 of its potential returns per unit of risk. Bank Central Asia is currently generating about -0.01 per unit of risk. If you would invest 929.00 in Territorial Bancorp on September 12, 2024 and sell it today you would earn a total of 125.00 from holding Territorial Bancorp or generate 13.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Territorial Bancorp vs. Bank Central Asia
Performance |
Timeline |
Territorial Bancorp |
Bank Central Asia |
Territorial Bancorp and Bank Central Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Territorial Bancorp and Bank Central
The main advantage of trading using opposite Territorial Bancorp and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Territorial Bancorp 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.Territorial Bancorp vs. First Hawaiian | Territorial Bancorp vs. Bank of Hawaii | Territorial Bancorp vs. Financial Institutions | Territorial Bancorp vs. Heritage Financial |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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