Correlation Between SpareBank and First Hawaiian
Can any of the company-specific risk be diversified away by investing in both SpareBank and First Hawaiian 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 SpareBank and First Hawaiian into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SpareBank 1 SMN and First Hawaiian, you can compare the effects of market volatilities on SpareBank and First Hawaiian 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 SpareBank with a short position of First Hawaiian. Check out your portfolio center. Please also check ongoing floating volatility patterns of SpareBank and First Hawaiian.
Diversification Opportunities for SpareBank and First Hawaiian
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SpareBank and First is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding SpareBank 1 SMN and First Hawaiian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Hawaiian and SpareBank 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 SpareBank 1 SMN are associated (or correlated) with First Hawaiian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Hawaiian has no effect on the direction of SpareBank i.e., SpareBank and First Hawaiian go up and down completely randomly.
Pair Corralation between SpareBank and First Hawaiian
Assuming the 90 days horizon SpareBank is expected to generate 4.09 times less return on investment than First Hawaiian. But when comparing it to its historical volatility, SpareBank 1 SMN is 3.41 times less risky than First Hawaiian. It trades about 0.06 of its potential returns per unit of risk. First Hawaiian is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,016 in First Hawaiian on September 4, 2024 and sell it today you would earn a total of 690.00 from holding First Hawaiian or generate 34.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 99.6% |
| Values | Daily Returns |
SpareBank 1 SMN vs. First Hawaiian
Performance |
| Timeline |
| SpareBank 1 SMN |
| First Hawaiian |
SpareBank and First Hawaiian Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SpareBank and First Hawaiian
The main advantage of trading using opposite SpareBank and First Hawaiian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SpareBank position performs unexpectedly, First Hawaiian 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 Hawaiian will offset losses from the drop in First Hawaiian's long position.| SpareBank vs. Danske Bank AS | SpareBank vs. Erste Group Bank | SpareBank vs. Texas Community Bancshares | SpareBank vs. Richmond Mutual Bancorporation |
| First Hawaiian vs. Territorial Bancorp | First Hawaiian vs. Bank of Hawaii | First Hawaiian vs. Financial Institutions | First Hawaiian vs. Heritage Financial |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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