Correlation Between DATANG INTL and OAKTRSPECLENDNEW
Can any of the company-specific risk be diversified away by investing in both DATANG INTL and OAKTRSPECLENDNEW 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 DATANG INTL and OAKTRSPECLENDNEW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATANG INTL POW and OAKTRSPECLENDNEW, you can compare the effects of market volatilities on DATANG INTL and OAKTRSPECLENDNEW 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 DATANG INTL with a short position of OAKTRSPECLENDNEW. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATANG INTL and OAKTRSPECLENDNEW.
Diversification Opportunities for DATANG INTL and OAKTRSPECLENDNEW
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between DATANG and OAKTRSPECLENDNEW is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding DATANG INTL POW and OAKTRSPECLENDNEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OAKTRSPECLENDNEW and DATANG INTL 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 DATANG INTL POW are associated (or correlated) with OAKTRSPECLENDNEW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OAKTRSPECLENDNEW has no effect on the direction of DATANG INTL i.e., DATANG INTL and OAKTRSPECLENDNEW go up and down completely randomly.
Pair Corralation between DATANG INTL and OAKTRSPECLENDNEW
Assuming the 90 days trading horizon DATANG INTL POW is expected to generate 2.52 times more return on investment than OAKTRSPECLENDNEW. However, DATANG INTL is 2.52 times more volatile than OAKTRSPECLENDNEW. It trades about 0.09 of its potential returns per unit of risk. OAKTRSPECLENDNEW is currently generating about 0.06 per unit of risk. If you would invest 15.00 in DATANG INTL POW on September 20, 2024 and sell it today you would earn a total of 3.00 from holding DATANG INTL POW or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DATANG INTL POW vs. OAKTRSPECLENDNEW
Performance |
Timeline |
DATANG INTL POW |
OAKTRSPECLENDNEW |
DATANG INTL and OAKTRSPECLENDNEW Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATANG INTL and OAKTRSPECLENDNEW
The main advantage of trading using opposite DATANG INTL and OAKTRSPECLENDNEW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATANG INTL position performs unexpectedly, OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW will offset losses from the drop in OAKTRSPECLENDNEW's long position.DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Microsoft |
OAKTRSPECLENDNEW vs. Apple Inc | OAKTRSPECLENDNEW vs. Apple Inc | OAKTRSPECLENDNEW vs. Apple Inc | OAKTRSPECLENDNEW vs. Apple Inc |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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