Correlation Between BPS TECHNOLOGY and Golden Ventures
Can any of the company-specific risk be diversified away by investing in both BPS TECHNOLOGY and Golden Ventures 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 BPS TECHNOLOGY and Golden Ventures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BPS TECHNOLOGY PUBLIC and Golden Ventures Leasehold, you can compare the effects of market volatilities on BPS TECHNOLOGY and Golden Ventures 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 BPS TECHNOLOGY with a short position of Golden Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of BPS TECHNOLOGY and Golden Ventures.
Diversification Opportunities for BPS TECHNOLOGY and Golden Ventures
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between BPS and Golden is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding BPS TECHNOLOGY PUBLIC and Golden Ventures Leasehold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Ventures Leasehold and BPS 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 BPS TECHNOLOGY PUBLIC are associated (or correlated) with Golden Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Ventures Leasehold has no effect on the direction of BPS TECHNOLOGY i.e., BPS TECHNOLOGY and Golden Ventures go up and down completely randomly.
Pair Corralation between BPS TECHNOLOGY and Golden Ventures
Assuming the 90 days trading horizon BPS TECHNOLOGY PUBLIC is expected to under-perform the Golden Ventures. In addition to that, BPS TECHNOLOGY is 2.47 times more volatile than Golden Ventures Leasehold. It trades about -0.09 of its total potential returns per unit of risk. Golden Ventures Leasehold is currently generating about 0.02 per unit of volatility. If you would invest 664.00 in Golden Ventures Leasehold on September 14, 2024 and sell it today you would earn a total of 6.00 from holding Golden Ventures Leasehold or generate 0.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BPS TECHNOLOGY PUBLIC vs. Golden Ventures Leasehold
Performance |
Timeline |
BPS TECHNOLOGY PUBLIC |
Golden Ventures Leasehold |
BPS TECHNOLOGY and Golden Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BPS TECHNOLOGY and Golden Ventures
The main advantage of trading using opposite BPS TECHNOLOGY and Golden Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BPS TECHNOLOGY position performs unexpectedly, Golden Ventures 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 Golden Ventures will offset losses from the drop in Golden Ventures' long position.BPS TECHNOLOGY vs. Delta Electronics Public | BPS TECHNOLOGY vs. Delta Electronics Public | BPS TECHNOLOGY vs. Airports of Thailand | BPS TECHNOLOGY vs. Airports of Thailand |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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