Correlation Between Goodfellow and Madison Pacific
Can any of the company-specific risk be diversified away by investing in both Goodfellow and Madison Pacific 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 Goodfellow and Madison Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goodfellow and Madison Pacific Properties, you can compare the effects of market volatilities on Goodfellow and Madison Pacific 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 Goodfellow with a short position of Madison Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goodfellow and Madison Pacific.
Diversification Opportunities for Goodfellow and Madison Pacific
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Goodfellow and Madison is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Goodfellow and Madison Pacific Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Madison Pacific Prop and Goodfellow 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 Goodfellow are associated (or correlated) with Madison Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Madison Pacific Prop has no effect on the direction of Goodfellow i.e., Goodfellow and Madison Pacific go up and down completely randomly.
Pair Corralation between Goodfellow and Madison Pacific
Assuming the 90 days trading horizon Goodfellow is expected to generate 1.14 times more return on investment than Madison Pacific. However, Goodfellow is 1.14 times more volatile than Madison Pacific Properties. It trades about 0.07 of its potential returns per unit of risk. Madison Pacific Properties is currently generating about -0.42 per unit of risk. If you would invest 1,364 in Goodfellow on August 31, 2024 and sell it today you would earn a total of 26.00 from holding Goodfellow or generate 1.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Goodfellow vs. Madison Pacific Properties
Performance |
| Timeline |
| Goodfellow |
| Madison Pacific Prop |
Goodfellow and Madison Pacific Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goodfellow and Madison Pacific
The main advantage of trading using opposite Goodfellow and Madison Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goodfellow position performs unexpectedly, Madison Pacific 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 Madison Pacific will offset losses from the drop in Madison Pacific's long position.| Goodfellow vs. Algoma Central | Goodfellow vs. Taiga Building Products | Goodfellow vs. Conifex Timber | Goodfellow vs. Acadian Timber Corp |
| Madison Pacific vs. Melcor Developments | Madison Pacific vs. Wall Financial | Madison Pacific vs. Genesis Land Development | Madison Pacific vs. Mainstreet Equity Corp |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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