Correlation Between Internet Thailand and BROADWIND ENRGY
Can any of the company-specific risk be diversified away by investing in both Internet Thailand and BROADWIND ENRGY 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 Internet Thailand and BROADWIND ENRGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Internet Thailand PCL and BROADWIND ENRGY, you can compare the effects of market volatilities on Internet Thailand and BROADWIND ENRGY 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 Internet Thailand with a short position of BROADWIND ENRGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Internet Thailand and BROADWIND ENRGY.
Diversification Opportunities for Internet Thailand and BROADWIND ENRGY
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Internet and BROADWIND is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Internet Thailand PCL and BROADWIND ENRGY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BROADWIND ENRGY and Internet Thailand 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 Internet Thailand PCL are associated (or correlated) with BROADWIND ENRGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BROADWIND ENRGY has no effect on the direction of Internet Thailand i.e., Internet Thailand and BROADWIND ENRGY go up and down completely randomly.
Pair Corralation between Internet Thailand and BROADWIND ENRGY
Assuming the 90 days trading horizon Internet Thailand PCL is expected to generate 1.43 times more return on investment than BROADWIND ENRGY. However, Internet Thailand is 1.43 times more volatile than BROADWIND ENRGY. It trades about -0.05 of its potential returns per unit of risk. BROADWIND ENRGY is currently generating about -0.13 per unit of risk. If you would invest 16.00 in Internet Thailand PCL on December 26, 2024 and sell it today you would lose (3.00) from holding Internet Thailand PCL or give up 18.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Internet Thailand PCL vs. BROADWIND ENRGY
Performance |
Timeline |
Internet Thailand PCL |
BROADWIND ENRGY |
Internet Thailand and BROADWIND ENRGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Internet Thailand and BROADWIND ENRGY
The main advantage of trading using opposite Internet Thailand and BROADWIND ENRGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Internet Thailand position performs unexpectedly, BROADWIND ENRGY 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 BROADWIND ENRGY will offset losses from the drop in BROADWIND ENRGY's long position.Internet Thailand vs. Alfa Financial Software | Internet Thailand vs. Magic Software Enterprises | Internet Thailand vs. Altair Engineering | Internet Thailand vs. FORMPIPE SOFTWARE AB |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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