Correlation Between MELIA HOTELS and KINGBOARD CHEMICAL
Can any of the company-specific risk be diversified away by investing in both MELIA HOTELS and KINGBOARD CHEMICAL 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 MELIA HOTELS and KINGBOARD CHEMICAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MELIA HOTELS and KINGBOARD CHEMICAL, you can compare the effects of market volatilities on MELIA HOTELS and KINGBOARD CHEMICAL 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 MELIA HOTELS with a short position of KINGBOARD CHEMICAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of MELIA HOTELS and KINGBOARD CHEMICAL.
Diversification Opportunities for MELIA HOTELS and KINGBOARD CHEMICAL
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between MELIA and KINGBOARD is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding MELIA HOTELS and KINGBOARD CHEMICAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KINGBOARD CHEMICAL and MELIA HOTELS 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 MELIA HOTELS are associated (or correlated) with KINGBOARD CHEMICAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KINGBOARD CHEMICAL has no effect on the direction of MELIA HOTELS i.e., MELIA HOTELS and KINGBOARD CHEMICAL go up and down completely randomly.
Pair Corralation between MELIA HOTELS and KINGBOARD CHEMICAL
Assuming the 90 days trading horizon MELIA HOTELS is expected to generate 5.19 times less return on investment than KINGBOARD CHEMICAL. But when comparing it to its historical volatility, MELIA HOTELS is 2.3 times less risky than KINGBOARD CHEMICAL. It trades about 0.08 of its potential returns per unit of risk. KINGBOARD CHEMICAL is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 191.00 in KINGBOARD CHEMICAL on December 4, 2024 and sell it today you would earn a total of 81.00 from holding KINGBOARD CHEMICAL or generate 42.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MELIA HOTELS vs. KINGBOARD CHEMICAL
Performance |
Timeline |
MELIA HOTELS |
KINGBOARD CHEMICAL |
MELIA HOTELS and KINGBOARD CHEMICAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MELIA HOTELS and KINGBOARD CHEMICAL
The main advantage of trading using opposite MELIA HOTELS and KINGBOARD CHEMICAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MELIA HOTELS position performs unexpectedly, KINGBOARD CHEMICAL 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 KINGBOARD CHEMICAL will offset losses from the drop in KINGBOARD CHEMICAL's long position.MELIA HOTELS vs. PARKEN SPORT ENT | MELIA HOTELS vs. VELA TECHNOLPLC LS 0001 | MELIA HOTELS vs. Columbia Sportswear | MELIA HOTELS vs. DICKS Sporting Goods |
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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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