Correlation Between AU Optronics and Lingsen Precision
Can any of the company-specific risk be diversified away by investing in both AU Optronics and Lingsen Precision 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 AU Optronics and Lingsen Precision into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AU Optronics and Lingsen Precision Industries, you can compare the effects of market volatilities on AU Optronics and Lingsen Precision 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 AU Optronics with a short position of Lingsen Precision. Check out your portfolio center. Please also check ongoing floating volatility patterns of AU Optronics and Lingsen Precision.
Diversification Opportunities for AU Optronics and Lingsen Precision
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 2409 and Lingsen is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding AU Optronics and Lingsen Precision Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lingsen Precision and AU Optronics 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 AU Optronics are associated (or correlated) with Lingsen Precision. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lingsen Precision has no effect on the direction of AU Optronics i.e., AU Optronics and Lingsen Precision go up and down completely randomly.
Pair Corralation between AU Optronics and Lingsen Precision
Assuming the 90 days trading horizon AU Optronics is expected to under-perform the Lingsen Precision. But the stock apears to be less risky and, when comparing its historical volatility, AU Optronics is 1.52 times less risky than Lingsen Precision. The stock trades about -0.03 of its potential returns per unit of risk. The Lingsen Precision Industries is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,835 in Lingsen Precision Industries on September 12, 2024 and sell it today you would lose (50.00) from holding Lingsen Precision Industries or give up 2.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AU Optronics vs. Lingsen Precision Industries
Performance |
Timeline |
AU Optronics |
Lingsen Precision |
AU Optronics and Lingsen Precision Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AU Optronics and Lingsen Precision
The main advantage of trading using opposite AU Optronics and Lingsen Precision positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AU Optronics position performs unexpectedly, Lingsen Precision 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 Lingsen Precision will offset losses from the drop in Lingsen Precision's long position.AU Optronics vs. Innolux Corp | AU Optronics vs. United Microelectronics | AU Optronics vs. China Steel Corp | AU Optronics vs. Quanta Computer |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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