Correlation Between Inchcape Plc and KINGBOARD CHEMICAL
Can any of the company-specific risk be diversified away by investing in both Inchcape Plc 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 Inchcape Plc and KINGBOARD CHEMICAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inchcape plc and KINGBOARD CHEMICAL, you can compare the effects of market volatilities on Inchcape Plc 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 Inchcape Plc with a short position of KINGBOARD CHEMICAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inchcape Plc and KINGBOARD CHEMICAL.
Diversification Opportunities for Inchcape Plc and KINGBOARD CHEMICAL
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Inchcape and KINGBOARD is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Inchcape plc and KINGBOARD CHEMICAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KINGBOARD CHEMICAL and Inchcape Plc 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 Inchcape plc 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 Inchcape Plc i.e., Inchcape Plc and KINGBOARD CHEMICAL go up and down completely randomly.
Pair Corralation between Inchcape Plc and KINGBOARD CHEMICAL
Assuming the 90 days trading horizon Inchcape plc is expected to under-perform the KINGBOARD CHEMICAL. But the stock apears to be less risky and, when comparing its historical volatility, Inchcape plc is 1.19 times less risky than KINGBOARD CHEMICAL. The stock trades about -0.07 of its potential returns per unit of risk. The KINGBOARD CHEMICAL is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 224.00 in KINGBOARD CHEMICAL on December 24, 2024 and sell it today you would earn a total of 52.00 from holding KINGBOARD CHEMICAL or generate 23.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Inchcape plc vs. KINGBOARD CHEMICAL
Performance |
Timeline |
Inchcape plc |
KINGBOARD CHEMICAL |
Inchcape Plc and KINGBOARD CHEMICAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inchcape Plc and KINGBOARD CHEMICAL
The main advantage of trading using opposite Inchcape Plc and KINGBOARD CHEMICAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inchcape Plc 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.Inchcape Plc vs. Ming Le Sports | Inchcape Plc vs. TRAVEL LEISURE DL 01 | Inchcape Plc vs. Heidelberg Materials AG | Inchcape Plc vs. PLAYTECH |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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