Correlation Between Bank of America and Internet Thailand
Can any of the company-specific risk be diversified away by investing in both Bank of America and Internet Thailand 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 America and Internet Thailand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Verizon Communications and Internet Thailand PCL, you can compare the effects of market volatilities on Bank of America and Internet Thailand 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 America with a short position of Internet Thailand. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Internet Thailand.
Diversification Opportunities for Bank of America and Internet Thailand
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Internet is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Verizon Communications and Internet Thailand PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Internet Thailand PCL and Bank of America 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 Verizon Communications are associated (or correlated) with Internet Thailand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Internet Thailand PCL has no effect on the direction of Bank of America i.e., Bank of America and Internet Thailand go up and down completely randomly.
Pair Corralation between Bank of America and Internet Thailand
Assuming the 90 days trading horizon Bank of America is expected to generate 40.65 times less return on investment than Internet Thailand. But when comparing it to its historical volatility, Verizon Communications is 32.17 times less risky than Internet Thailand. It trades about 0.03 of its potential returns per unit of risk. Internet Thailand PCL is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 13.00 in Internet Thailand PCL on September 23, 2024 and sell it today you would earn a total of 3.00 from holding Internet Thailand PCL or generate 23.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Verizon Communications vs. Internet Thailand PCL
Performance |
Timeline |
Verizon Communications |
Internet Thailand PCL |
Bank of America and Internet Thailand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Internet Thailand
The main advantage of trading using opposite Bank of America and Internet Thailand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Internet Thailand 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 Internet Thailand will offset losses from the drop in Internet Thailand's long position.Bank of America vs. Computer And Technologies | Bank of America vs. MAGNUM MINING EXP | Bank of America vs. Perseus Mining Limited | Bank of America vs. G III Apparel Group |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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