Correlation Between Kingcan Holdings and New Palace
Can any of the company-specific risk be diversified away by investing in both Kingcan Holdings and New Palace 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 Kingcan Holdings and New Palace into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingcan Holdings and New Palace International, you can compare the effects of market volatilities on Kingcan Holdings and New Palace 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 Kingcan Holdings with a short position of New Palace. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingcan Holdings and New Palace.
Diversification Opportunities for Kingcan Holdings and New Palace
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Kingcan and New is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Kingcan Holdings and New Palace International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Palace International and Kingcan Holdings 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 Kingcan Holdings are associated (or correlated) with New Palace. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Palace International has no effect on the direction of Kingcan Holdings i.e., Kingcan Holdings and New Palace go up and down completely randomly.
Pair Corralation between Kingcan Holdings and New Palace
Assuming the 90 days trading horizon Kingcan Holdings is expected to under-perform the New Palace. But the stock apears to be less risky and, when comparing its historical volatility, Kingcan Holdings is 1.12 times less risky than New Palace. The stock trades about -0.09 of its potential returns per unit of risk. The New Palace International is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,245 in New Palace International on September 3, 2024 and sell it today you would earn a total of 50.00 from holding New Palace International or generate 2.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kingcan Holdings vs. New Palace International
Performance |
Timeline |
Kingcan Holdings |
New Palace International |
Kingcan Holdings and New Palace Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingcan Holdings and New Palace
The main advantage of trading using opposite Kingcan Holdings and New Palace positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingcan Holdings position performs unexpectedly, New Palace 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 New Palace will offset losses from the drop in New Palace's long position.Kingcan Holdings vs. Jinli Group Holdings | Kingcan Holdings vs. Shinih Enterprise Co | Kingcan Holdings vs. Super Dragon Technology | Kingcan Holdings vs. Shui Mu International Co |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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