Correlation Between KL Technology and PX Prague
Can any of the company-specific risk be diversified away by investing in both KL Technology and PX Prague 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 PX Prague into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KL Technology and PX Prague Stock, you can compare the effects of market volatilities on KL Technology and PX Prague 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 PX Prague. Check out your portfolio center. Please also check ongoing floating volatility patterns of KL Technology and PX Prague.
Diversification Opportunities for KL Technology and PX Prague
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between KLTE and PX Prague is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding KL Technology and PX Prague Stock in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PX Prague Stock 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 PX Prague. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PX Prague Stock has no effect on the direction of KL Technology i.e., KL Technology and PX Prague go up and down completely randomly.
Pair Corralation between KL Technology and PX Prague
Assuming the 90 days trading horizon KL Technology is expected to generate 2.42 times less return on investment than PX Prague. In addition to that, KL Technology is 3.34 times more volatile than PX Prague Stock. It trades about 0.02 of its total potential returns per unit of risk. PX Prague Stock is currently generating about 0.2 per unit of volatility. If you would invest 164,334 in PX Prague Stock on August 30, 2024 and sell it today you would earn a total of 3,613 from holding PX Prague Stock or generate 2.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
KL Technology vs. PX Prague Stock
Performance |
Timeline |
KL Technology and PX Prague Volatility Contrast
Predicted Return Density |
Returns |
KL Technology
Pair trading matchups for KL Technology
PX Prague Stock
Pair trading matchups for PX Prague
Pair Trading with KL Technology and PX Prague
The main advantage of trading using opposite KL Technology and PX Prague positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KL Technology position performs unexpectedly, PX Prague 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 PX Prague will offset losses from the drop in PX Prague's long position.KL Technology vs. Ho Hup Construction | KL Technology vs. Sunway Construction Group | KL Technology vs. FARM FRESH BERHAD | KL Technology vs. Alliance Financial Group |
PX Prague vs. Komercni Banka AS | PX Prague vs. Vienna Insurance Group | PX Prague vs. JT ARCH INVESTMENTS | PX Prague vs. UNIQA Insurance Group |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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