Correlation Between Bank Rakyat and H M

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

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

Diversification Opportunities for Bank Rakyat and H M

0.31

Correlation Coefficient

Bank Rakyat  H M

Weak diversification

The 3 months correlation between Bank and HMRZF is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat and H M Hennes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on H M Hennes and Bank Rakyat 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 Bank Rakyat are associated (or correlated) with H M. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of H M Hennes has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and H M go up and down completely randomly.

Pair Corralation between Bank Rakyat and H M

Assuming the 90 days horizon Bank Rakyat is expected to under-perform the H M. In addition to that, Bank Rakyat is 1.33 times more volatile than H M Hennes. It trades about -0.1 of its total potential returns per unit of risk. H M Hennes is currently generating about 0.01 per unit of volatility. If you would invest  1,478  in H M Hennes on November 28, 2024 and sell it today you would lose (3.00) from holding H M Hennes or give up 0.2% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Bank Rakyat  vs.  H M Hennes

Bank Rakyat

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bank Rakyat has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's forward-looking signals remain fairly strong which may send shares a bit higher in March 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

H M Hennes

Risk-Adjusted Performance

Very Weak

Over the last 90 days H M Hennes has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, H M is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Bank Rakyat and H M

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

The idea behind Bank Rakyat and H M Hennes 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.