Correlation Between Dow Jones and Snow Capital
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Snow Capital 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 Snow Capital 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 Snow Capital Small, you can compare the effects of market volatilities on Dow Jones and Snow Capital 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 Snow Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Snow Capital.
Diversification Opportunities for Dow Jones and Snow Capital
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dow and Snow is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Snow Capital Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snow Capital Small 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 Snow Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snow Capital Small has no effect on the direction of Dow Jones i.e., Dow Jones and Snow Capital go up and down completely randomly.
Pair Corralation between Dow Jones and Snow Capital
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.6 times more return on investment than Snow Capital. However, Dow Jones Industrial is 1.67 times less risky than Snow Capital. It trades about -0.21 of its potential returns per unit of risk. Snow Capital Small is currently generating about -0.41 per unit of risk. If you would invest 4,429,651 in Dow Jones Industrial on September 23, 2024 and sell it today you would lose (145,625) from holding Dow Jones Industrial or give up 3.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Snow Capital Small
Performance |
Timeline |
Dow Jones and Snow Capital Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Snow Capital Small
Pair trading matchups for Snow Capital
Pair Trading with Dow Jones and Snow Capital
The main advantage of trading using opposite Dow Jones and Snow Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Snow Capital 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 Snow Capital will offset losses from the drop in Snow Capital's long position.Dow Jones vs. Nok Airlines Public | Dow Jones vs. Alaska Air Group | Dow Jones vs. Universal Music Group | Dow Jones vs. Copa Holdings SA |
Snow Capital vs. Snow Capital Opportunity | Snow Capital vs. Snow Capital Small | Snow Capital vs. Walthausen Small Cap | Snow Capital vs. Towle Deep Value |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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