Correlation Between PF Bakkafrost and Tencent Holdings
Can any of the company-specific risk be diversified away by investing in both PF Bakkafrost and Tencent Holdings 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 PF Bakkafrost and Tencent Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PF Bakkafrost and Tencent Holdings, you can compare the effects of market volatilities on PF Bakkafrost and Tencent Holdings 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 PF Bakkafrost with a short position of Tencent Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of PF Bakkafrost and Tencent Holdings.
Diversification Opportunities for PF Bakkafrost and Tencent Holdings
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between 6BF and Tencent is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding PF Bakkafrost and Tencent Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tencent Holdings and PF Bakkafrost 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 PF Bakkafrost are associated (or correlated) with Tencent Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tencent Holdings has no effect on the direction of PF Bakkafrost i.e., PF Bakkafrost and Tencent Holdings go up and down completely randomly.
Pair Corralation between PF Bakkafrost and Tencent Holdings
Assuming the 90 days horizon PF Bakkafrost is expected to generate 1.17 times more return on investment than Tencent Holdings. However, PF Bakkafrost is 1.17 times more volatile than Tencent Holdings. It trades about 0.03 of its potential returns per unit of risk. Tencent Holdings is currently generating about 0.03 per unit of risk. If you would invest 4,407 in PF Bakkafrost on October 12, 2024 and sell it today you would earn a total of 853.00 from holding PF Bakkafrost or generate 19.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PF Bakkafrost vs. Tencent Holdings
Performance |
Timeline |
PF Bakkafrost |
Tencent Holdings |
PF Bakkafrost and Tencent Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PF Bakkafrost and Tencent Holdings
The main advantage of trading using opposite PF Bakkafrost and Tencent Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PF Bakkafrost position performs unexpectedly, Tencent Holdings 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 Holdings will offset losses from the drop in Tencent Holdings' long position.PF Bakkafrost vs. Air Transport Services | PF Bakkafrost vs. Eurasia Mining Plc | PF Bakkafrost vs. Gold Road Resources | PF Bakkafrost vs. Perseus Mining Limited |
Tencent Holdings vs. BYD Company Limited | Tencent Holdings vs. Alibaba Group Holdings | Tencent Holdings vs. Xiaomi | Tencent Holdings vs. Baidu 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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