Correlation Between SCOR PK and Loomis Sayles

Can any of the company-specific risk be diversified away by investing in both SCOR PK and Loomis Sayles 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 SCOR PK and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SCOR PK and Loomis Sayles Inflation, you can compare the effects of market volatilities on SCOR PK and Loomis Sayles 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 SCOR PK with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Loomis Sayles.

Diversification Opportunities for SCOR PK and Loomis Sayles

-0.35

Correlation Coefficient

SCOR PK  Loomis Sayles

Very good diversification

The 3 months correlation between SCOR and Loomis is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Loomis Sayles Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Inflation and SCOR PK 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 SCOR PK are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Inflation has no effect on the direction of SCOR PK i.e., SCOR PK and Loomis Sayles go up and down completely randomly.

Pair Corralation between SCOR PK and Loomis Sayles

Assuming the 90 days horizon SCOR PK is expected to generate 10.5 times more return on investment than Loomis Sayles. However, SCOR PK is 10.5 times more volatile than Loomis Sayles Inflation. It trades about 0.09 of its potential returns per unit of risk. Loomis Sayles Inflation is currently generating about -0.17 per unit of risk. If you would invest  216.00  in SCOR PK on October 5, 2024 and sell it today you would earn a total of  31.00  from holding SCOR PK or generate 14.35% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

SCOR PK  vs.  Loomis Sayles Inflation

SCOR PK

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR PK are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, SCOR PK showed solid returns over the last few months and may actually be approaching a breakup point.

Loomis Sayles Inflation

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with SCOR PK and Loomis Sayles

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

The idea behind SCOR PK and Loomis Sayles Inflation 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.

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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.