Correlation Between MFS High and PGIM Short
Can any of the company-specific risk be diversified away by investing in both MFS High and PGIM Short 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 MFS High and PGIM Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MFS High Yield and PGIM Short Duration, you can compare the effects of market volatilities on MFS High and PGIM Short 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 MFS High with a short position of PGIM Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of MFS High and PGIM Short.
Diversification Opportunities for MFS High and PGIM Short
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between MFS and PGIM is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding MFS High Yield and PGIM Short Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGIM Short Duration and MFS High 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 MFS High Yield are associated (or correlated) with PGIM Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGIM Short Duration has no effect on the direction of MFS High i.e., MFS High and PGIM Short go up and down completely randomly.
Pair Corralation between MFS High and PGIM Short
Considering the 90-day investment horizon MFS High Yield is expected to generate 1.26 times more return on investment than PGIM Short. However, MFS High is 1.26 times more volatile than PGIM Short Duration. It trades about -0.12 of its potential returns per unit of risk. PGIM Short Duration is currently generating about -0.17 per unit of risk. If you would invest 354.00 in MFS High Yield on September 23, 2024 and sell it today you would lose (5.00) from holding MFS High Yield or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MFS High Yield vs. PGIM Short Duration
Performance |
Timeline |
MFS High Yield |
PGIM Short Duration |
MFS High and PGIM Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MFS High and PGIM Short
The main advantage of trading using opposite MFS High and PGIM Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS High position performs unexpectedly, PGIM Short 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 PGIM Short will offset losses from the drop in PGIM Short's long position.MFS High vs. MFS Investment Grade | MFS High vs. MFS Municipal Income | MFS High vs. DTF Tax Free | MFS High vs. MFS Government Markets |
PGIM Short vs. Visa Class A | PGIM Short vs. Diamond Hill Investment | PGIM Short vs. Distoken Acquisition | PGIM Short vs. AllianceBernstein Holding LP |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |