Correlation Between CHIBA BANK and DATANG INTL
Can any of the company-specific risk be diversified away by investing in both CHIBA BANK and DATANG INTL 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 CHIBA BANK and DATANG INTL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHIBA BANK and DATANG INTL POW, you can compare the effects of market volatilities on CHIBA BANK and DATANG INTL 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 CHIBA BANK with a short position of DATANG INTL. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHIBA BANK and DATANG INTL.
Diversification Opportunities for CHIBA BANK and DATANG INTL
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CHIBA and DATANG is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding CHIBA BANK and DATANG INTL POW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATANG INTL POW and CHIBA BANK 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 CHIBA BANK are associated (or correlated) with DATANG INTL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATANG INTL POW has no effect on the direction of CHIBA BANK i.e., CHIBA BANK and DATANG INTL go up and down completely randomly.
Pair Corralation between CHIBA BANK and DATANG INTL
Assuming the 90 days trading horizon CHIBA BANK is expected to generate 0.37 times more return on investment than DATANG INTL. However, CHIBA BANK is 2.68 times less risky than DATANG INTL. It trades about 0.27 of its potential returns per unit of risk. DATANG INTL POW is currently generating about -0.18 per unit of risk. If you would invest 725.00 in CHIBA BANK on October 21, 2024 and sell it today you would earn a total of 45.00 from holding CHIBA BANK or generate 6.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CHIBA BANK vs. DATANG INTL POW
Performance |
Timeline |
CHIBA BANK |
DATANG INTL POW |
CHIBA BANK and DATANG INTL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHIBA BANK and DATANG INTL
The main advantage of trading using opposite CHIBA BANK and DATANG INTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHIBA BANK position performs unexpectedly, DATANG INTL 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 DATANG INTL will offset losses from the drop in DATANG INTL's long position.CHIBA BANK vs. UPDATE SOFTWARE | CHIBA BANK vs. CyberArk Software | CHIBA BANK vs. Perseus Mining Limited | CHIBA BANK vs. ARDAGH METAL PACDL 0001 |
DATANG INTL vs. Mitsubishi Materials | DATANG INTL vs. SANOK RUBBER ZY | DATANG INTL vs. Heidelberg Materials AG | DATANG INTL vs. ZhongAn Online P |
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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |