Correlation Between Light Wonder and Canterbury Park
Can any of the company-specific risk be diversified away by investing in both Light Wonder and Canterbury Park 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 Light Wonder and Canterbury Park into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Light Wonder and Canterbury Park Holding, you can compare the effects of market volatilities on Light Wonder and Canterbury Park 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 Light Wonder with a short position of Canterbury Park. Check out your portfolio center. Please also check ongoing floating volatility patterns of Light Wonder and Canterbury Park.
Diversification Opportunities for Light Wonder and Canterbury Park
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Light and Canterbury is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Light Wonder and Canterbury Park Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canterbury Park Holding and Light Wonder 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 Light Wonder are associated (or correlated) with Canterbury Park. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canterbury Park Holding has no effect on the direction of Light Wonder i.e., Light Wonder and Canterbury Park go up and down completely randomly.
Pair Corralation between Light Wonder and Canterbury Park
Considering the 90-day investment horizon Light Wonder is expected to generate 1.38 times more return on investment than Canterbury Park. However, Light Wonder is 1.38 times more volatile than Canterbury Park Holding. It trades about 0.11 of its potential returns per unit of risk. Canterbury Park Holding is currently generating about -0.11 per unit of risk. If you would invest 8,522 in Light Wonder on December 29, 2024 and sell it today you would earn a total of 1,414 from holding Light Wonder or generate 16.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Light Wonder vs. Canterbury Park Holding
Performance |
Timeline |
Light Wonder |
Canterbury Park Holding |
Light Wonder and Canterbury Park Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Light Wonder and Canterbury Park
The main advantage of trading using opposite Light Wonder and Canterbury Park positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Light Wonder position performs unexpectedly, Canterbury Park 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 Canterbury Park will offset losses from the drop in Canterbury Park's long position.Light Wonder vs. Codere Online Corp | Light Wonder vs. Inspired Entertainment | Light Wonder vs. International Game Technology | Light Wonder vs. Accel Entertainment |
Canterbury Park vs. Community West Bancshares | Canterbury Park vs. Citizens Community Bancorp | Canterbury Park vs. Bridgford Foods |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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