Correlation Between YX Precious and Resintech Bhd
Can any of the company-specific risk be diversified away by investing in both YX Precious and Resintech 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 YX Precious and Resintech Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YX Precious Metals and Resintech Bhd, you can compare the effects of market volatilities on YX Precious and Resintech 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 YX Precious with a short position of Resintech Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of YX Precious and Resintech Bhd.
Diversification Opportunities for YX Precious and Resintech Bhd
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between 0250 and Resintech is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding YX Precious Metals and Resintech Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Resintech Bhd and YX Precious 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 YX Precious Metals are associated (or correlated) with Resintech Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Resintech Bhd has no effect on the direction of YX Precious i.e., YX Precious and Resintech Bhd go up and down completely randomly.
Pair Corralation between YX Precious and Resintech Bhd
Assuming the 90 days trading horizon YX Precious Metals is expected to under-perform the Resintech Bhd. In addition to that, YX Precious is 1.23 times more volatile than Resintech Bhd. It trades about -0.11 of its total potential returns per unit of risk. Resintech Bhd is currently generating about 0.04 per unit of volatility. If you would invest 68.00 in Resintech Bhd on September 26, 2024 and sell it today you would earn a total of 2.00 from holding Resintech Bhd or generate 2.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
YX Precious Metals vs. Resintech Bhd
Performance |
Timeline |
YX Precious Metals |
Resintech Bhd |
YX Precious and Resintech Bhd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YX Precious and Resintech Bhd
The main advantage of trading using opposite YX Precious and Resintech Bhd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YX Precious position performs unexpectedly, Resintech 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 Resintech Bhd will offset losses from the drop in Resintech Bhd's long position.YX Precious vs. Malayan Banking Bhd | YX Precious vs. Public Bank Bhd | YX Precious vs. Petronas Chemicals Group | YX Precious vs. Tenaga Nasional Bhd |
Resintech Bhd vs. Sunway Construction Group | Resintech Bhd vs. Notion Vtec Bhd | Resintech Bhd vs. Inari Amertron Bhd | Resintech Bhd vs. ViTrox Bhd |
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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