Correlation Between Halyk Bank and Pressure Technologies
Can any of the company-specific risk be diversified away by investing in both Halyk Bank and Pressure Technologies 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 Halyk Bank and Pressure Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Halyk Bank of and Pressure Technologies Plc, you can compare the effects of market volatilities on Halyk Bank and Pressure Technologies 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 Halyk Bank with a short position of Pressure Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Halyk Bank and Pressure Technologies.
Diversification Opportunities for Halyk Bank and Pressure Technologies
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Halyk and Pressure is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Halyk Bank of and Pressure Technologies Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pressure Technologies Plc and Halyk 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 Halyk Bank of are associated (or correlated) with Pressure Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pressure Technologies Plc has no effect on the direction of Halyk Bank i.e., Halyk Bank and Pressure Technologies go up and down completely randomly.
Pair Corralation between Halyk Bank and Pressure Technologies
Assuming the 90 days trading horizon Halyk Bank of is expected to generate 0.57 times more return on investment than Pressure Technologies. However, Halyk Bank of is 1.74 times less risky than Pressure Technologies. It trades about 0.16 of its potential returns per unit of risk. Pressure Technologies Plc is currently generating about -0.07 per unit of risk. If you would invest 1,884 in Halyk Bank of on December 24, 2024 and sell it today you would earn a total of 246.00 from holding Halyk Bank of or generate 13.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Halyk Bank of vs. Pressure Technologies Plc
Performance |
Timeline |
Halyk Bank |
Pressure Technologies Plc |
Halyk Bank and Pressure Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Halyk Bank and Pressure Technologies
The main advantage of trading using opposite Halyk Bank and Pressure Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Halyk Bank position performs unexpectedly, Pressure Technologies 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 Pressure Technologies will offset losses from the drop in Pressure Technologies' long position.Halyk Bank vs. St Galler Kantonalbank | Halyk Bank vs. Lendinvest PLC | Halyk Bank vs. United Utilities Group | Halyk Bank vs. Zurich Insurance Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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