Correlation Between SPDR SP and Franklin FTSE
Can any of the company-specific risk be diversified away by investing in both SPDR SP and Franklin FTSE 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 SPDR SP and Franklin FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR SP 500 and Franklin FTSE United, you can compare the effects of market volatilities on SPDR SP and Franklin FTSE 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 SPDR SP with a short position of Franklin FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR SP and Franklin FTSE.
Diversification Opportunities for SPDR SP and Franklin FTSE
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SPDR and Franklin is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SP 500 and Franklin FTSE United in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin FTSE United and SPDR SP 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 SPDR SP 500 are associated (or correlated) with Franklin FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin FTSE United has no effect on the direction of SPDR SP i.e., SPDR SP and Franklin FTSE go up and down completely randomly.
Pair Corralation between SPDR SP and Franklin FTSE
Considering the 90-day investment horizon SPDR SP 500 is expected to generate 1.03 times more return on investment than Franklin FTSE. However, SPDR SP is 1.03 times more volatile than Franklin FTSE United. It trades about 0.13 of its potential returns per unit of risk. Franklin FTSE United is currently generating about 0.01 per unit of risk. If you would invest 52,407 in SPDR SP 500 on August 29, 2024 and sell it today you would earn a total of 7,658 from holding SPDR SP 500 or generate 14.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SPDR SP 500 vs. Franklin FTSE United
Performance |
| Timeline |
| SPDR SP 500 |
| Franklin FTSE United |
SPDR SP and Franklin FTSE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SPDR SP and Franklin FTSE
The main advantage of trading using opposite SPDR SP and Franklin FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR SP position performs unexpectedly, Franklin FTSE 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 Franklin FTSE will offset losses from the drop in Franklin FTSE's long position.| SPDR SP vs. FT Vest Equity | SPDR SP vs. Northern Lights | SPDR SP vs. Dimensional International High | SPDR SP vs. First Trust Exchange Traded |
| Franklin FTSE vs. iShares MSCI Hong | Franklin FTSE vs. HUMANA INC | Franklin FTSE vs. SCOR PK | Franklin FTSE vs. Aquagold International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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