Correlation Between State Street and SPDR Series
Can any of the company-specific risk be diversified away by investing in both State Street and SPDR Series 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 State Street and SPDR Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between State Street and SPDR Series Trust, you can compare the effects of market volatilities on State Street and SPDR Series 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 State Street with a short position of SPDR Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Street and SPDR Series.
Diversification Opportunities for State Street and SPDR Series
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between State and SPDR is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding State Street and SPDR Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Series Trust and State Street 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 State Street are associated (or correlated) with SPDR Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Series Trust has no effect on the direction of State Street i.e., State Street and SPDR Series go up and down completely randomly.
Pair Corralation between State Street and SPDR Series
If you would invest 200,421 in State Street on December 5, 2024 and sell it today you would earn a total of 0.00 from holding State Street or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
State Street vs. SPDR Series Trust
Performance |
Timeline |
State Street |
SPDR Series Trust |
State Street and SPDR Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Street and SPDR Series
The main advantage of trading using opposite State Street and SPDR Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Street position performs unexpectedly, SPDR Series 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 SPDR Series will offset losses from the drop in SPDR Series' long position.State Street vs. Cognizant Technology Solutions | State Street vs. Air Transport Services | State Street vs. Samsung Electronics Co | State Street vs. Monster Beverage Corp |
SPDR Series vs. SPDR Dow Jones | SPDR Series vs. SPDR Gold Trust | SPDR Series vs. SPDR SP 500 | SPDR Series vs. SPDR SP Regional |
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.
Other Complementary Tools
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Fundamental Analysis View fundamental data based on most recent published financial statements |