Correlation Between Pax High and Mfs Blended

Can any of the company-specific risk be diversified away by investing in both Pax High and Mfs Blended 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 Pax High and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Pax High Yield and Mfs Blended Research, you can compare the effects of market volatilities on Pax High and Mfs Blended 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 Pax High with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pax High and Mfs Blended.

Diversification Opportunities for Pax High and Mfs Blended

0.0

Correlation Coefficient

Pax High  Mfs Blended

Pay attention - limited upside

The 3 months correlation between Pax and Mfs is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Pax High Yield and Mfs Blended Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Blended Research and Pax 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 Pax High Yield are associated (or correlated) with Mfs Blended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Blended Research has no effect on the direction of Pax High i.e., Pax High and Mfs Blended go up and down completely randomly.

Pair Corralation between Pax High and Mfs Blended

Assuming the 90 days horizon Pax High Yield is expected to generate 0.19 times more return on investment than Mfs Blended. However, Pax High Yield is 5.29 times less risky than Mfs Blended. It trades about -0.06 of its potential returns per unit of risk. Mfs Blended Research is currently generating about -0.13 per unit of risk. If you would invest  608.00  in Pax High Yield on September 26, 2024 and sell it today you would lose (4.00) from holding Pax High Yield or give up 0.66% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

Pax High Yield  vs.  Mfs Blended Research

Pax High Yield

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Pax High Yield has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Pax High is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Mfs Blended Research

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mfs Blended Research has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Pax High and Mfs Blended

The main advantage of trading using opposite Pax High and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pax High position performs unexpectedly, Mfs Blended 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 Mfs Blended will offset losses from the drop in Mfs Blended's long position.

The idea behind Pax High Yield and Mfs Blended Research pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.