Correlation Between KL Technology and IPC MEXICO

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Can any of the company-specific risk be diversified away by investing in both KL Technology and IPC MEXICO 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 IPC MEXICO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KL Technology and IPC MEXICO, you can compare the effects of market volatilities on KL Technology and IPC MEXICO 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 IPC MEXICO. Check out your portfolio center. Please also check ongoing floating volatility patterns of KL Technology and IPC MEXICO.

Diversification Opportunities for KL Technology and IPC MEXICO

0.16
  Correlation Coefficient

Average diversification

The 3 months correlation between KLTE and IPC is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding KL Technology and IPC MEXICO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IPC MEXICO 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 IPC MEXICO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IPC MEXICO has no effect on the direction of KL Technology i.e., KL Technology and IPC MEXICO go up and down completely randomly.
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Pair Corralation between KL Technology and IPC MEXICO

Assuming the 90 days trading horizon KL Technology is expected to generate 2.31 times more return on investment than IPC MEXICO. However, KL Technology is 2.31 times more volatile than IPC MEXICO. It trades about 0.02 of its potential returns per unit of risk. IPC MEXICO is currently generating about -0.12 per unit of risk. If you would invest  5,931  in KL Technology on August 30, 2024 and sell it today you would earn a total of  35.00  from holding KL Technology or generate 0.59% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy95.45%
ValuesDaily Returns

KL Technology  vs.  IPC MEXICO

 Performance 
       Timeline  

KL Technology and IPC MEXICO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with KL Technology and IPC MEXICO

The main advantage of trading using opposite KL Technology and IPC MEXICO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KL Technology position performs unexpectedly, IPC MEXICO 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 IPC MEXICO will offset losses from the drop in IPC MEXICO's long position.
The idea behind KL Technology and IPC MEXICO 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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