Correlation Between KINGBOARD CHEMICAL and Playa Hotels
Can any of the company-specific risk be diversified away by investing in both KINGBOARD CHEMICAL and Playa 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 KINGBOARD CHEMICAL and Playa Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KINGBOARD CHEMICAL and Playa Hotels Resorts, you can compare the effects of market volatilities on KINGBOARD CHEMICAL and Playa 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 KINGBOARD CHEMICAL with a short position of Playa Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of KINGBOARD CHEMICAL and Playa Hotels.
Diversification Opportunities for KINGBOARD CHEMICAL and Playa Hotels
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between KINGBOARD and Playa is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding KINGBOARD CHEMICAL and Playa Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Playa Hotels Resorts and KINGBOARD CHEMICAL 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 KINGBOARD CHEMICAL are associated (or correlated) with Playa Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Playa Hotels Resorts has no effect on the direction of KINGBOARD CHEMICAL i.e., KINGBOARD CHEMICAL and Playa Hotels go up and down completely randomly.
Pair Corralation between KINGBOARD CHEMICAL and Playa Hotels
Assuming the 90 days trading horizon KINGBOARD CHEMICAL is expected to generate 2.06 times more return on investment than Playa Hotels. However, KINGBOARD CHEMICAL is 2.06 times more volatile than Playa Hotels Resorts. It trades about 0.1 of its potential returns per unit of risk. Playa Hotels Resorts is currently generating about 0.05 per unit of risk. If you would invest 234.00 in KINGBOARD CHEMICAL on December 30, 2024 and sell it today you would earn a total of 38.00 from holding KINGBOARD CHEMICAL or generate 16.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KINGBOARD CHEMICAL vs. Playa Hotels Resorts
Performance |
Timeline |
KINGBOARD CHEMICAL |
Playa Hotels Resorts |
KINGBOARD CHEMICAL and Playa Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KINGBOARD CHEMICAL and Playa Hotels
The main advantage of trading using opposite KINGBOARD CHEMICAL and Playa Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KINGBOARD CHEMICAL position performs unexpectedly, Playa 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 Playa Hotels will offset losses from the drop in Playa Hotels' long position.KINGBOARD CHEMICAL vs. Nordic Semiconductor ASA | KINGBOARD CHEMICAL vs. Rocket Internet SE | KINGBOARD CHEMICAL vs. Taiwan Semiconductor Manufacturing | KINGBOARD CHEMICAL vs. Marie Brizard Wine |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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