Correlation Between Bank Negara and First Hawaiian
Can any of the company-specific risk be diversified away by investing in both Bank Negara 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 Bank Negara and First Hawaiian into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Negara Indonesia and First Hawaiian, you can compare the effects of market volatilities on Bank Negara 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 Bank Negara with a short position of First Hawaiian. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Negara and First Hawaiian.
Diversification Opportunities for Bank Negara and First Hawaiian
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and First is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Bank Negara Indonesia and First Hawaiian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Hawaiian and Bank Negara 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 Bank Negara Indonesia 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 Bank Negara i.e., Bank Negara and First Hawaiian go up and down completely randomly.
Pair Corralation between Bank Negara and First Hawaiian
Assuming the 90 days horizon Bank Negara Indonesia is expected to under-perform the First Hawaiian. In addition to that, Bank Negara is 2.39 times more volatile than First Hawaiian. It trades about -0.01 of its total potential returns per unit of risk. First Hawaiian is currently generating about 0.12 per unit of volatility. If you would invest 2,385 in First Hawaiian on September 3, 2024 and sell it today you would earn a total of 376.00 from holding First Hawaiian or generate 15.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Negara Indonesia vs. First Hawaiian
Performance |
Timeline |
Bank Negara Indonesia |
First Hawaiian |
Bank Negara and First Hawaiian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Negara and First Hawaiian
The main advantage of trading using opposite Bank Negara and First Hawaiian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Negara 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.Bank Negara vs. First Hawaiian | Bank Negara vs. Central Pacific Financial | Bank Negara vs. Territorial Bancorp | Bank Negara vs. Comerica |
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 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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