Correlation Between PT Bank and MEDS Old

Can any of the company-specific risk be diversified away by investing in both PT Bank and MEDS Old 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 PT Bank and MEDS Old into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between PT Bank Rakyat and MEDS Old, you can compare the effects of market volatilities on PT Bank and MEDS Old 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 PT Bank with a short position of MEDS Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and MEDS Old.

Diversification Opportunities for PT Bank and MEDS Old

0.62

Correlation Coefficient

PT Bank  MEDS Old

Poor diversification

The 3 months correlation between BKRKF and MEDS is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and MEDS Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MEDS Old and PT Bank 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 PT Bank Rakyat are associated (or correlated) with MEDS Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MEDS Old has no effect on the direction of PT Bank i.e., PT Bank and MEDS Old go up and down completely randomly.

Pair Corralation between PT Bank and MEDS Old

If you would invest  746.00  in MEDS Old on October 10, 2024 and sell it today you would earn a total of  0.00  from holding MEDS Old or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	5.0%
Values	Daily Returns

PT Bank Rakyat  vs.  MEDS Old

PT Bank Rakyat

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days PT Bank Rakyat has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest fragile performance, the Stock's forward-looking signals remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.

MEDS Old

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MEDS Old has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, MEDS Old is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with PT Bank and MEDS Old

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

The idea behind PT Bank Rakyat and MEDS Old 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.