Correlation Between SLM Corp and Dow Jones
Can any of the company-specific risk be diversified away by investing in both SLM Corp 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 SLM Corp and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sanlam and Dow Jones Industrial, you can compare the effects of market volatilities on SLM Corp 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 SLM Corp with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of SLM Corp and Dow Jones.
Diversification Opportunities for SLM Corp and Dow Jones
Poor diversification
The 3 months correlation between SLM and Dow is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Sanlam 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 SLM Corp 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 Sanlam 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 SLM Corp i.e., SLM Corp and Dow Jones go up and down completely randomly.
Pair Corralation between SLM Corp and Dow Jones
Assuming the 90 days trading horizon Sanlam is expected to generate 2.07 times more return on investment than Dow Jones. However, SLM Corp is 2.07 times more volatile than Dow Jones Industrial. It trades about 0.1 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of risk. If you would invest 453,362 in Sanlam on August 28, 2024 and sell it today you would earn a total of 430,638 from holding Sanlam or generate 94.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.99% |
Values | Daily Returns |
Sanlam vs. Dow Jones Industrial
Performance |
Timeline |
SLM Corp and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Sanlam
Pair trading matchups for SLM Corp
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with SLM Corp and Dow Jones
The main advantage of trading using opposite SLM Corp and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SLM Corp 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.SLM Corp vs. Old Mutual | SLM Corp vs. Centaur Bci Balanced | SLM Corp vs. Sabvest Capital | SLM Corp vs. Growthpoint Properties |
Dow Jones vs. Meiwu Technology Co | Dow Jones vs. 17 Education Technology | Dow Jones vs. 51Talk Online Education | Dow Jones vs. Afya |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |