Correlation Between KL Technology and Scientex Bhd

Can any of the company-specific risk be diversified away by investing in both KL Technology and Scientex Bhd 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 KL Technology and Scientex Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between KL Technology and Scientex Bhd, you can compare the effects of market volatilities on KL Technology and Scientex Bhd 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 KL Technology with a short position of Scientex Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of KL Technology and Scientex Bhd.

Diversification Opportunities for KL Technology and Scientex Bhd

-0.27

Correlation Coefficient

KL Technology  Scientex Bhd

Very good diversification

The 3 months correlation between KLTE and Scientex is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding KL Technology and Scientex Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientex Bhd and KL Technology 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 KL Technology are associated (or correlated) with Scientex Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientex Bhd has no effect on the direction of KL Technology i.e., KL Technology and Scientex Bhd go up and down completely randomly.

Pair Corralation between KL Technology and Scientex Bhd

Assuming the 90 days trading horizon KL Technology is expected to generate 10.59 times less return on investment than Scientex Bhd. But when comparing it to its historical volatility, KL Technology is 1.01 times less risky than Scientex Bhd. It trades about 0.01 of its potential returns per unit of risk. Scientex Bhd is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  437.00  in Scientex Bhd on September 3, 2024 and sell it today you would earn a total of  19.00  from holding Scientex Bhd or generate 4.35% return on investment over 90 days.

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

KL Technology  vs.  Scientex Bhd

Pair Trading with KL Technology and Scientex Bhd

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

The idea behind KL Technology and Scientex Bhd 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.