Correlation Between Sp 500 and Northern Stock
Can any of the company-specific risk be diversified away by investing in both Sp 500 and Northern Stock 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 Sp 500 and Northern Stock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sp 500 Index and Northern Stock Index, you can compare the effects of market volatilities on Sp 500 and Northern Stock 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 Sp 500 with a short position of Northern Stock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sp 500 and Northern Stock.
Diversification Opportunities for Sp 500 and Northern Stock
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SPFIX and Northern is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Sp 500 Index and Northern Stock Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Stock Index and Sp 500 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 Sp 500 Index are associated (or correlated) with Northern Stock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Stock Index has no effect on the direction of Sp 500 i.e., Sp 500 and Northern Stock go up and down completely randomly.
Pair Corralation between Sp 500 and Northern Stock
Assuming the 90 days horizon Sp 500 Index is expected to under-perform the Northern Stock. But the mutual fund apears to be less risky and, when comparing its historical volatility, Sp 500 Index is 1.0 times less risky than Northern Stock. The mutual fund trades about -0.03 of its potential returns per unit of risk. The Northern Stock Index is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 6,079 in Northern Stock Index on December 3, 2024 and sell it today you would lose (34.00) from holding Northern Stock Index or give up 0.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sp 500 Index vs. Northern Stock Index
Performance |
Timeline |
Sp 500 Index |
Northern Stock Index |
Sp 500 and Northern Stock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sp 500 and Northern Stock
The main advantage of trading using opposite Sp 500 and Northern Stock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sp 500 position performs unexpectedly, Northern Stock 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 Northern Stock will offset losses from the drop in Northern Stock's long position.Sp 500 vs. Sp Midcap Index | Sp 500 vs. Sp Smallcap Index | Sp 500 vs. Deutsche Equity 500 | Sp 500 vs. Dreyfus Institutional Sp |
Northern Stock vs. Northern Small Cap | Northern Stock vs. Northern International Equity | Northern Stock vs. Northern Mid Cap | Northern Stock vs. Northern Bond Index |
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.
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