Correlation Between Kings Town and Prince Housing
Can any of the company-specific risk be diversified away by investing in both Kings Town and Prince Housing 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 Kings Town and Prince Housing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kings Town Construction and Prince Housing Development, you can compare the effects of market volatilities on Kings Town and Prince Housing 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 Kings Town with a short position of Prince Housing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kings Town and Prince Housing.
Diversification Opportunities for Kings Town and Prince Housing
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kings and Prince is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Kings Town Construction and Prince Housing Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prince Housing Devel and Kings Town 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 Kings Town Construction are associated (or correlated) with Prince Housing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prince Housing Devel has no effect on the direction of Kings Town i.e., Kings Town and Prince Housing go up and down completely randomly.
Pair Corralation between Kings Town and Prince Housing
Assuming the 90 days trading horizon Kings Town Construction is expected to under-perform the Prince Housing. In addition to that, Kings Town is 2.83 times more volatile than Prince Housing Development. It trades about -0.29 of its total potential returns per unit of risk. Prince Housing Development is currently generating about -0.16 per unit of volatility. If you would invest 1,065 in Prince Housing Development on September 20, 2024 and sell it today you would lose (35.00) from holding Prince Housing Development or give up 3.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kings Town Construction vs. Prince Housing Development
Performance |
Timeline |
Kings Town Construction |
Prince Housing Devel |
Kings Town and Prince Housing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kings Town and Prince Housing
The main advantage of trading using opposite Kings Town and Prince Housing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kings Town position performs unexpectedly, Prince Housing 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 Prince Housing will offset losses from the drop in Prince Housing's long position.Kings Town vs. Kindom Construction Corp | Kings Town vs. Highwealth Construction Corp | Kings Town vs. Hung Sheng Construction | Kings Town vs. Huaku Development Co |
Prince Housing vs. Sesoda Corp | Prince Housing vs. New Asia Construction | Prince Housing vs. Excelsior Medical Co | Prince Housing vs. First Insurance Co |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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