Correlation Between Finlay Minerals and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Finlay Minerals and Dow Jones 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 Finlay Minerals and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Finlay Minerals and Dow Jones Industrial, you can compare the effects of market volatilities on Finlay Minerals and Dow Jones 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 Finlay Minerals with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Finlay Minerals and Dow Jones.
Diversification Opportunities for Finlay Minerals and Dow Jones
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Finlay and Dow is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Finlay Minerals and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Finlay Minerals 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 Finlay Minerals are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Finlay Minerals i.e., Finlay Minerals and Dow Jones go up and down completely randomly.
Pair Corralation between Finlay Minerals and Dow Jones
Assuming the 90 days horizon Finlay Minerals is expected to generate 18.81 times more return on investment than Dow Jones. However, Finlay Minerals is 18.81 times more volatile than Dow Jones Industrial. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of risk. If you would invest 2.00 in Finlay Minerals on August 29, 2024 and sell it today you would earn a total of 1.00 from holding Finlay Minerals or generate 50.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.66% |
| Values | Daily Returns |
Finlay Minerals vs. Dow Jones Industrial
Performance |
| Timeline |
Finlay Minerals and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Finlay Minerals
Pair trading matchups for Finlay Minerals
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Finlay Minerals and Dow Jones
The main advantage of trading using opposite Finlay Minerals and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Finlay Minerals position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Finlay Minerals vs. CMC Metals | Finlay Minerals vs. Tarku Resources | Finlay Minerals vs. Highway 50 Gold |
| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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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