Correlation Between Hu Lane and Hota Industrial
Can any of the company-specific risk be diversified away by investing in both Hu Lane and Hota Industrial 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 Hu Lane and Hota Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hu Lane Associate and Hota Industrial Mfg, you can compare the effects of market volatilities on Hu Lane and Hota Industrial 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 Hu Lane with a short position of Hota Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hu Lane and Hota Industrial.
Diversification Opportunities for Hu Lane and Hota Industrial
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between 6279 and Hota is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Hu Lane Associate and Hota Industrial Mfg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hota Industrial Mfg and Hu Lane 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 Hu Lane Associate are associated (or correlated) with Hota Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hota Industrial Mfg has no effect on the direction of Hu Lane i.e., Hu Lane and Hota Industrial go up and down completely randomly.
Pair Corralation between Hu Lane and Hota Industrial
Assuming the 90 days trading horizon Hu Lane Associate is expected to under-perform the Hota Industrial. But the stock apears to be less risky and, when comparing its historical volatility, Hu Lane Associate is 1.72 times less risky than Hota Industrial. The stock trades about -0.03 of its potential returns per unit of risk. The Hota Industrial Mfg is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 5,600 in Hota Industrial Mfg on September 23, 2024 and sell it today you would earn a total of 790.00 from holding Hota Industrial Mfg or generate 14.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hu Lane Associate vs. Hota Industrial Mfg
Performance |
Timeline |
Hu Lane Associate |
Hota Industrial Mfg |
Hu Lane and Hota Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hu Lane and Hota Industrial
The main advantage of trading using opposite Hu Lane and Hota Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hu Lane position performs unexpectedly, Hota Industrial 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 Hota Industrial will offset losses from the drop in Hota Industrial's long position.Hu Lane vs. Merida Industry Co | Hu Lane vs. Cheng Shin Rubber | Hu Lane vs. Uni President Enterprises Corp | Hu Lane vs. Pou Chen Corp |
Hota Industrial vs. Merida Industry Co | Hota Industrial vs. Cheng Shin Rubber | Hota Industrial vs. Uni President Enterprises Corp | Hota Industrial vs. Pou Chen Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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