Correlation Between NTT DATA and Wenzhou Kangning
Can any of the company-specific risk be diversified away by investing in both NTT DATA and Wenzhou Kangning 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 NTT DATA and Wenzhou Kangning into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NTT DATA and Wenzhou Kangning Hospital, you can compare the effects of market volatilities on NTT DATA and Wenzhou Kangning 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 NTT DATA with a short position of Wenzhou Kangning. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTT DATA and Wenzhou Kangning.
Diversification Opportunities for NTT DATA and Wenzhou Kangning
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between NTT and Wenzhou is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding NTT DATA and Wenzhou Kangning Hospital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wenzhou Kangning Hospital and NTT DATA 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 NTT DATA are associated (or correlated) with Wenzhou Kangning. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wenzhou Kangning Hospital has no effect on the direction of NTT DATA i.e., NTT DATA and Wenzhou Kangning go up and down completely randomly.
Pair Corralation between NTT DATA and Wenzhou Kangning
Assuming the 90 days trading horizon NTT DATA is expected to generate 0.69 times more return on investment than Wenzhou Kangning. However, NTT DATA is 1.46 times less risky than Wenzhou Kangning. It trades about 0.15 of its potential returns per unit of risk. Wenzhou Kangning Hospital is currently generating about -0.22 per unit of risk. If you would invest 1,770 in NTT DATA on November 5, 2024 and sell it today you would earn a total of 100.00 from holding NTT DATA or generate 5.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NTT DATA vs. Wenzhou Kangning Hospital
Performance |
| Timeline |
| NTT DATA |
| Wenzhou Kangning Hospital |
NTT DATA and Wenzhou Kangning Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NTT DATA and Wenzhou Kangning
The main advantage of trading using opposite NTT DATA and Wenzhou Kangning positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTT DATA position performs unexpectedly, Wenzhou Kangning 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 Wenzhou Kangning will offset losses from the drop in Wenzhou Kangning's long position.| NTT DATA vs. Singapore Telecommunications Limited | NTT DATA vs. Scientific Games | NTT DATA vs. Charter Communications | NTT DATA vs. GAMING FAC SA |
| Wenzhou Kangning vs. SIVERS SEMICONDUCTORS AB | Wenzhou Kangning vs. NorAm Drilling AS | Wenzhou Kangning vs. Volkswagen AG | Wenzhou Kangning vs. Darden Restaurants |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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