Correlation Between OSOTSPA PCL and Bangkok Expressway
Can any of the company-specific risk be diversified away by investing in both OSOTSPA PCL and Bangkok Expressway 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 OSOTSPA PCL and Bangkok Expressway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OSOTSPA PCL NVDR and Bangkok Expressway and, you can compare the effects of market volatilities on OSOTSPA PCL and Bangkok Expressway 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 OSOTSPA PCL with a short position of Bangkok Expressway. Check out your portfolio center. Please also check ongoing floating volatility patterns of OSOTSPA PCL and Bangkok Expressway.
Diversification Opportunities for OSOTSPA PCL and Bangkok Expressway
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between OSOTSPA and Bangkok is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding OSOTSPA PCL NVDR and Bangkok Expressway and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangkok Expressway and and OSOTSPA PCL 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 OSOTSPA PCL NVDR are associated (or correlated) with Bangkok Expressway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangkok Expressway and has no effect on the direction of OSOTSPA PCL i.e., OSOTSPA PCL and Bangkok Expressway go up and down completely randomly.
Pair Corralation between OSOTSPA PCL and Bangkok Expressway
Assuming the 90 days trading horizon OSOTSPA PCL NVDR is expected to under-perform the Bangkok Expressway. In addition to that, OSOTSPA PCL is 3.14 times more volatile than Bangkok Expressway and. It trades about -0.11 of its total potential returns per unit of risk. Bangkok Expressway and is currently generating about -0.06 per unit of volatility. If you would invest 760.00 in Bangkok Expressway and on September 1, 2024 and sell it today you would lose (30.00) from holding Bangkok Expressway and or give up 3.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
OSOTSPA PCL NVDR vs. Bangkok Expressway and
Performance |
Timeline |
OSOTSPA PCL NVDR |
Bangkok Expressway and |
OSOTSPA PCL and Bangkok Expressway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OSOTSPA PCL and Bangkok Expressway
The main advantage of trading using opposite OSOTSPA PCL and Bangkok Expressway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OSOTSPA PCL position performs unexpectedly, Bangkok Expressway 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 Bangkok Expressway will offset losses from the drop in Bangkok Expressway's long position.OSOTSPA PCL vs. CP ALL Public | OSOTSPA PCL vs. Charoen Pokphand Foods | OSOTSPA PCL vs. Electricity Generating Public | OSOTSPA PCL vs. PTT Public |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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