Correlation Between Information Technology and Luo Lih
Can any of the company-specific risk be diversified away by investing in both Information Technology and Luo Lih 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 Information Technology and Luo Lih into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Information Technology Total and Luo Lih Fen, you can compare the effects of market volatilities on Information Technology and Luo Lih 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 Information Technology with a short position of Luo Lih. Check out your portfolio center. Please also check ongoing floating volatility patterns of Information Technology and Luo Lih.
Diversification Opportunities for Information Technology and Luo Lih
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Information and Luo is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Information Technology Total and Luo Lih Fen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Luo Lih Fen and Information 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 Information Technology Total are associated (or correlated) with Luo Lih. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Luo Lih Fen has no effect on the direction of Information Technology i.e., Information Technology and Luo Lih go up and down completely randomly.
Pair Corralation between Information Technology and Luo Lih
Assuming the 90 days trading horizon Information Technology Total is expected to generate 1.3 times more return on investment than Luo Lih. However, Information Technology is 1.3 times more volatile than Luo Lih Fen. It trades about 0.01 of its potential returns per unit of risk. Luo Lih Fen is currently generating about -0.04 per unit of risk. If you would invest 4,889 in Information Technology Total on September 12, 2024 and sell it today you would lose (119.00) from holding Information Technology Total or give up 2.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Information Technology Total vs. Luo Lih Fen
Performance |
Timeline |
Information Technology |
Luo Lih Fen |
Information Technology and Luo Lih Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Information Technology and Luo Lih
The main advantage of trading using opposite Information Technology and Luo Lih positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Information Technology position performs unexpectedly, Luo Lih 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 Luo Lih will offset losses from the drop in Luo Lih's long position.The idea behind Information Technology Total and Luo Lih Fen pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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