Correlation Between Tencent Music and BRAEMAR HOTELS
Can any of the company-specific risk be diversified away by investing in both Tencent Music and BRAEMAR HOTELS 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 BRAEMAR HOTELS 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 BRAEMAR HOTELS RES, you can compare the effects of market volatilities on Tencent Music and BRAEMAR HOTELS 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 BRAEMAR HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tencent Music and BRAEMAR HOTELS.
Diversification Opportunities for Tencent Music and BRAEMAR HOTELS
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Tencent and BRAEMAR is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Tencent Music Entertainment and BRAEMAR HOTELS RES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BRAEMAR HOTELS RES 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 BRAEMAR HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BRAEMAR HOTELS RES has no effect on the direction of Tencent Music i.e., Tencent Music and BRAEMAR HOTELS go up and down completely randomly.
Pair Corralation between Tencent Music and BRAEMAR HOTELS
Assuming the 90 days trading horizon Tencent Music is expected to generate 1.75 times less return on investment than BRAEMAR HOTELS. But when comparing it to its historical volatility, Tencent Music Entertainment is 1.25 times less risky than BRAEMAR HOTELS. It trades about 0.02 of its potential returns per unit of risk. BRAEMAR HOTELS RES is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 289.00 in BRAEMAR HOTELS RES on October 8, 2024 and sell it today you would earn a total of 1.00 from holding BRAEMAR HOTELS RES or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tencent Music Entertainment vs. BRAEMAR HOTELS RES
Performance |
Timeline |
Tencent Music Entert |
BRAEMAR HOTELS RES |
Tencent Music and BRAEMAR HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tencent Music and BRAEMAR HOTELS
The main advantage of trading using opposite Tencent Music and BRAEMAR HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tencent Music position performs unexpectedly, BRAEMAR HOTELS 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 BRAEMAR HOTELS will offset losses from the drop in BRAEMAR HOTELS's long position.Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc | Tencent Music vs. Apple Inc |
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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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