Correlation Between New York and Lee Enterprises
Can any of the company-specific risk be diversified away by investing in both New York and Lee Enterprises 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 New York and Lee Enterprises into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New York Times and Lee Enterprises Incorporated, you can compare the effects of market volatilities on New York and Lee Enterprises 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 New York with a short position of Lee Enterprises. Check out your portfolio center. Please also check ongoing floating volatility patterns of New York and Lee Enterprises.
Diversification Opportunities for New York and Lee Enterprises
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between New and Lee is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding New York Times and Lee Enterprises Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lee Enterprises and New York 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 New York Times are associated (or correlated) with Lee Enterprises. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lee Enterprises has no effect on the direction of New York i.e., New York and Lee Enterprises go up and down completely randomly.
Pair Corralation between New York and Lee Enterprises
Considering the 90-day investment horizon New York Times is expected to generate 0.51 times more return on investment than Lee Enterprises. However, New York Times is 1.95 times less risky than Lee Enterprises. It trades about -0.03 of its potential returns per unit of risk. Lee Enterprises Incorporated is currently generating about -0.09 per unit of risk. If you would invest 5,445 in New York Times on August 24, 2024 and sell it today you would lose (120.00) from holding New York Times or give up 2.2% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
New York Times vs. Lee Enterprises Incorporated
Performance |
| Timeline |
| New York Times |
| Lee Enterprises |
New York and Lee Enterprises Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with New York and Lee Enterprises
The main advantage of trading using opposite New York and Lee Enterprises positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New York position performs unexpectedly, Lee Enterprises 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 Lee Enterprises will offset losses from the drop in Lee Enterprises' long position.| New York vs. Lee Enterprises Incorporated | New York vs. Scholastic | New York vs. Pearson PLC ADR | New York vs. John Wiley Sons |
| Lee Enterprises vs. New York Times | Lee Enterprises vs. Scholastic | Lee Enterprises vs. Pearson PLC ADR | Lee Enterprises vs. John Wiley Sons |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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