Correlation Between BIT Computer and Industrial Bank
Can any of the company-specific risk be diversified away by investing in both BIT Computer and Industrial Bank 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 BIT Computer and Industrial Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIT Computer Co and Industrial Bank, you can compare the effects of market volatilities on BIT Computer and Industrial Bank 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 BIT Computer with a short position of Industrial Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIT Computer and Industrial Bank.
Diversification Opportunities for BIT Computer and Industrial Bank
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BIT and Industrial is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding BIT Computer Co and Industrial Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial Bank and BIT Computer 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 BIT Computer Co are associated (or correlated) with Industrial Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial Bank has no effect on the direction of BIT Computer i.e., BIT Computer and Industrial Bank go up and down completely randomly.
Pair Corralation between BIT Computer and Industrial Bank
Assuming the 90 days trading horizon BIT Computer is expected to generate 2.13 times less return on investment than Industrial Bank. In addition to that, BIT Computer is 1.63 times more volatile than Industrial Bank. It trades about 0.01 of its total potential returns per unit of risk. Industrial Bank is currently generating about 0.03 per unit of volatility. If you would invest 1,424,000 in Industrial Bank on September 20, 2024 and sell it today you would earn a total of 22,000 from holding Industrial Bank or generate 1.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
BIT Computer Co vs. Industrial Bank
Performance |
Timeline |
BIT Computer |
Industrial Bank |
BIT Computer and Industrial Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIT Computer and Industrial Bank
The main advantage of trading using opposite BIT Computer and Industrial Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIT Computer position performs unexpectedly, Industrial Bank 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 Industrial Bank will offset losses from the drop in Industrial Bank's long position.BIT Computer vs. Heungkuk Metaltech CoLtd | BIT Computer vs. Hanjoo Light Metal | BIT Computer vs. Youngsin Metal Industrial | BIT Computer vs. Daiyang Metal Co |
Industrial Bank vs. LG Display Co | Industrial Bank vs. Top Material Co | Industrial Bank vs. BIT Computer Co | Industrial Bank vs. Ecoplastic |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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