Correlation Between Highway Holdings and Regency Centers
Can any of the company-specific risk be diversified away by investing in both Highway Holdings and Regency Centers 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 Highway Holdings and Regency Centers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Highway Holdings Limited and Regency Centers, you can compare the effects of market volatilities on Highway Holdings and Regency Centers 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 Highway Holdings with a short position of Regency Centers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Highway Holdings and Regency Centers.
Diversification Opportunities for Highway Holdings and Regency Centers
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Highway and Regency is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Highway Holdings Limited and Regency Centers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regency Centers and Highway 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 Highway Holdings Limited are associated (or correlated) with Regency Centers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regency Centers has no effect on the direction of Highway Holdings i.e., Highway Holdings and Regency Centers go up and down completely randomly.
Pair Corralation between Highway Holdings and Regency Centers
Given the investment horizon of 90 days Highway Holdings is expected to generate 1.06 times less return on investment than Regency Centers. In addition to that, Highway Holdings is 2.41 times more volatile than Regency Centers. It trades about 0.01 of its total potential returns per unit of risk. Regency Centers is currently generating about 0.03 per unit of volatility. If you would invest 2,073 in Regency Centers on October 10, 2024 and sell it today you would earn a total of 302.00 from holding Regency Centers or generate 14.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Highway Holdings Limited vs. Regency Centers
Performance |
Timeline |
Highway Holdings |
Regency Centers |
Highway Holdings and Regency Centers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Highway Holdings and Regency Centers
The main advantage of trading using opposite Highway Holdings and Regency Centers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Highway Holdings position performs unexpectedly, Regency Centers 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 Regency Centers will offset losses from the drop in Regency Centers' long position.Highway Holdings vs. Deswell Industries | Highway Holdings vs. Euro Tech Holdings | Highway Holdings vs. China Natural Resources | Highway Holdings vs. Arts Way Manufacturing 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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