Correlation Between Tencent Music and CDN IMPERIAL
Can any of the company-specific risk be diversified away by investing in both Tencent Music and CDN IMPERIAL 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 Tencent Music and CDN IMPERIAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tencent Music Entertainment and CDN IMPERIAL BANK, you can compare the effects of market volatilities on Tencent Music and CDN IMPERIAL 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 Tencent Music with a short position of CDN IMPERIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tencent Music and CDN IMPERIAL.
Diversification Opportunities for Tencent Music and CDN IMPERIAL
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Tencent and CDN is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Tencent Music Entertainment and CDN IMPERIAL BANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CDN IMPERIAL BANK and Tencent Music 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 Tencent Music Entertainment are associated (or correlated) with CDN IMPERIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CDN IMPERIAL BANK has no effect on the direction of Tencent Music i.e., Tencent Music and CDN IMPERIAL go up and down completely randomly.
Pair Corralation between Tencent Music and CDN IMPERIAL
Assuming the 90 days trading horizon Tencent Music Entertainment is expected to generate 2.54 times more return on investment than CDN IMPERIAL. However, Tencent Music is 2.54 times more volatile than CDN IMPERIAL BANK. It trades about 0.04 of its potential returns per unit of risk. CDN IMPERIAL BANK is currently generating about 0.09 per unit of risk. If you would invest 760.00 in Tencent Music Entertainment on October 27, 2024 and sell it today you would earn a total of 300.00 from holding Tencent Music Entertainment or generate 39.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Tencent Music Entertainment vs. CDN IMPERIAL BANK
Performance |
| Timeline |
| Tencent Music Entert |
| CDN IMPERIAL BANK |
Tencent Music and CDN IMPERIAL Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tencent Music and CDN IMPERIAL
The main advantage of trading using opposite Tencent Music and CDN IMPERIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tencent Music position performs unexpectedly, CDN IMPERIAL 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 CDN IMPERIAL will offset losses from the drop in CDN IMPERIAL's long position.| Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc |
| CDN IMPERIAL vs. Corporate Travel Management | CDN IMPERIAL vs. Brockhaus Capital Management | CDN IMPERIAL vs. Japan Tobacco | CDN IMPERIAL vs. Sixt Leasing SE |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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