Correlation Between Bank of Botetourt and Hang Seng
Can any of the company-specific risk be diversified away by investing in both Bank of Botetourt and Hang Seng 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 of Botetourt and Hang Seng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Botetourt and Hang Seng Bank, you can compare the effects of market volatilities on Bank of Botetourt and Hang Seng 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 of Botetourt with a short position of Hang Seng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Botetourt and Hang Seng.
Diversification Opportunities for Bank of Botetourt and Hang Seng
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Hang is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Botetourt and Hang Seng Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hang Seng Bank and Bank of Botetourt 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 of Botetourt are associated (or correlated) with Hang Seng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hang Seng Bank has no effect on the direction of Bank of Botetourt i.e., Bank of Botetourt and Hang Seng go up and down completely randomly.
Pair Corralation between Bank of Botetourt and Hang Seng
Given the investment horizon of 90 days Bank of Botetourt is expected to generate 13.55 times less return on investment than Hang Seng. But when comparing it to its historical volatility, Bank of Botetourt is 8.43 times less risky than Hang Seng. It trades about 0.1 of its potential returns per unit of risk. Hang Seng Bank is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,200 in Hang Seng Bank on November 4, 2024 and sell it today you would earn a total of 55.00 from holding Hang Seng Bank or generate 4.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of Botetourt vs. Hang Seng Bank
Performance |
| Timeline |
| Bank of Botetourt |
| Hang Seng Bank |
Bank of Botetourt and Hang Seng Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of Botetourt and Hang Seng
The main advantage of trading using opposite Bank of Botetourt and Hang Seng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Botetourt position performs unexpectedly, Hang Seng 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 Hang Seng will offset losses from the drop in Hang Seng's long position.| Bank of Botetourt vs. Century Financial Corp | Bank of Botetourt vs. FS Bancorp | Bank of Botetourt vs. Lyons Bancorp | Bank of Botetourt vs. Solvay Bank Corp |
| Hang Seng vs. Caixabank SA ADR | Hang Seng vs. Commercial International Bank | Hang Seng vs. PT Bank Rakyat | Hang Seng vs. Riverview Bancorp |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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