Correlation Between SPDR Portfolio and JPMorgan Value
Can any of the company-specific risk be diversified away by investing in both SPDR Portfolio and JPMorgan Value 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 Portfolio and JPMorgan Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Portfolio SP and JPMorgan Value Factor, you can compare the effects of market volatilities on SPDR Portfolio and JPMorgan Value 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 Portfolio with a short position of JPMorgan Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Portfolio and JPMorgan Value.
Diversification Opportunities for SPDR Portfolio and JPMorgan Value
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SPDR and JPMorgan is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Portfolio SP and JPMorgan Value Factor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Value Factor and SPDR Portfolio 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 Portfolio SP are associated (or correlated) with JPMorgan Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Value Factor has no effect on the direction of SPDR Portfolio i.e., SPDR Portfolio and JPMorgan Value go up and down completely randomly.
Pair Corralation between SPDR Portfolio and JPMorgan Value
Given the investment horizon of 90 days SPDR Portfolio SP is expected to under-perform the JPMorgan Value. But the etf apears to be less risky and, when comparing its historical volatility, SPDR Portfolio SP is 1.21 times less risky than JPMorgan Value. The etf trades about -0.02 of its potential returns per unit of risk. The JPMorgan Value Factor is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 4,351 in JPMorgan Value Factor on September 27, 2024 and sell it today you would earn a total of 29.00 from holding JPMorgan Value Factor or generate 0.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Portfolio SP vs. JPMorgan Value Factor
Performance |
Timeline |
SPDR Portfolio SP |
JPMorgan Value Factor |
SPDR Portfolio and JPMorgan Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Portfolio and JPMorgan Value
The main advantage of trading using opposite SPDR Portfolio and JPMorgan Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Portfolio position performs unexpectedly, JPMorgan Value 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 JPMorgan Value will offset losses from the drop in JPMorgan Value's long position.SPDR Portfolio vs. Salon City | SPDR Portfolio vs. Northern Lights | SPDR Portfolio vs. Sterling Capital Focus | SPDR Portfolio vs. Aquagold International |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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