Correlation Between Dow Jones and Wafer Works
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Wafer Works 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 Dow Jones and Wafer Works into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Wafer Works, you can compare the effects of market volatilities on Dow Jones and Wafer Works 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 Dow Jones with a short position of Wafer Works. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Wafer Works.
Diversification Opportunities for Dow Jones and Wafer Works
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dow and Wafer is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Wafer Works in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wafer Works and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Wafer Works. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wafer Works has no effect on the direction of Dow Jones i.e., Dow Jones and Wafer Works go up and down completely randomly.
Pair Corralation between Dow Jones and Wafer Works
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.29 times more return on investment than Wafer Works. However, Dow Jones Industrial is 3.4 times less risky than Wafer Works. It trades about -0.09 of its potential returns per unit of risk. Wafer Works is currently generating about -0.11 per unit of risk. If you would invest 4,501,404 in Dow Jones Industrial on December 4, 2024 and sell it today you would lose (182,280) from holding Dow Jones Industrial or give up 4.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.67% |
Values | Daily Returns |
Dow Jones Industrial vs. Wafer Works
Performance |
Timeline |
Dow Jones and Wafer Works Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Wafer Works
Pair trading matchups for Wafer Works
Pair Trading with Dow Jones and Wafer Works
The main advantage of trading using opposite Dow Jones and Wafer Works positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Wafer Works 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 Wafer Works will offset losses from the drop in Wafer Works' long position.Dow Jones vs. Balchem | Dow Jones vs. Merit Medical Systems | Dow Jones vs. American Vanguard | Dow Jones vs. Regeneron Pharmaceuticals |
Wafer Works vs. Sino American Silicon Products | Wafer Works vs. GlobalWafers Co | Wafer Works vs. Motech Industries Co | Wafer Works vs. Formosa Sumco Technology |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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