Correlation Between Richardson Electronics and Kimco Realty
Can any of the company-specific risk be diversified away by investing in both Richardson Electronics and Kimco Realty 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 Richardson Electronics and Kimco Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Richardson Electronics and Kimco Realty, you can compare the effects of market volatilities on Richardson Electronics and Kimco Realty 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 Richardson Electronics with a short position of Kimco Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Richardson Electronics and Kimco Realty.
Diversification Opportunities for Richardson Electronics and Kimco Realty
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Richardson and Kimco is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Richardson Electronics and Kimco Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kimco Realty and Richardson Electronics 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 Richardson Electronics are associated (or correlated) with Kimco Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kimco Realty has no effect on the direction of Richardson Electronics i.e., Richardson Electronics and Kimco Realty go up and down completely randomly.
Pair Corralation between Richardson Electronics and Kimco Realty
Assuming the 90 days horizon Richardson Electronics is expected to generate 2.16 times more return on investment than Kimco Realty. However, Richardson Electronics is 2.16 times more volatile than Kimco Realty. It trades about 0.15 of its potential returns per unit of risk. Kimco Realty is currently generating about 0.22 per unit of risk. If you would invest 1,045 in Richardson Electronics on September 3, 2024 and sell it today you would earn a total of 271.00 from holding Richardson Electronics or generate 25.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Richardson Electronics vs. Kimco Realty
Performance |
Timeline |
Richardson Electronics |
Kimco Realty |
Richardson Electronics and Kimco Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Richardson Electronics and Kimco Realty
The main advantage of trading using opposite Richardson Electronics and Kimco Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Richardson Electronics position performs unexpectedly, Kimco Realty 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 Kimco Realty will offset losses from the drop in Kimco Realty's long position.Richardson Electronics vs. Hon Hai Precision | Richardson Electronics vs. Samsung SDI Co | Richardson Electronics vs. Murata Manufacturing Co | Richardson Electronics vs. Mitsubishi Electric |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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