Correlation Between SMA Solar and Tencent Music
Can any of the company-specific risk be diversified away by investing in both SMA Solar and Tencent Music 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 SMA Solar and Tencent Music into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SMA Solar Technology and Tencent Music Entertainment, you can compare the effects of market volatilities on SMA Solar and Tencent Music 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 SMA Solar with a short position of Tencent Music. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and Tencent Music.
Diversification Opportunities for SMA Solar and Tencent Music
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between SMA and Tencent is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and Tencent Music Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tencent Music Entert and SMA Solar 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 SMA Solar Technology are associated (or correlated) with Tencent Music. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tencent Music Entert has no effect on the direction of SMA Solar i.e., SMA Solar and Tencent Music go up and down completely randomly.
Pair Corralation between SMA Solar and Tencent Music
Assuming the 90 days horizon SMA Solar Technology is expected to under-perform the Tencent Music. In addition to that, SMA Solar is 1.2 times more volatile than Tencent Music Entertainment. It trades about -0.11 of its total potential returns per unit of risk. Tencent Music Entertainment is currently generating about 0.06 per unit of volatility. If you would invest 687.00 in Tencent Music Entertainment on October 4, 2024 and sell it today you would earn a total of 413.00 from holding Tencent Music Entertainment or generate 60.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SMA Solar Technology vs. Tencent Music Entertainment
Performance |
Timeline |
SMA Solar Technology |
Tencent Music Entert |
SMA Solar and Tencent Music Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and Tencent Music
The main advantage of trading using opposite SMA Solar and Tencent Music positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, Tencent Music 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 Tencent Music will offset losses from the drop in Tencent Music's long position.SMA Solar vs. Casio Computer CoLtd | SMA Solar vs. Iridium Communications | SMA Solar vs. Cogent Communications Holdings | SMA Solar vs. MINCO SILVER |
Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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