Correlation Between Tong Hsing and King Slide
Can any of the company-specific risk be diversified away by investing in both Tong Hsing and King Slide 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 Tong Hsing and King Slide into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tong Hsing Electronic and King Slide Works, you can compare the effects of market volatilities on Tong Hsing and King Slide 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 Tong Hsing with a short position of King Slide. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tong Hsing and King Slide.
Diversification Opportunities for Tong Hsing and King Slide
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tong and King is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Tong Hsing Electronic and King Slide Works in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on King Slide Works and Tong Hsing 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 Tong Hsing Electronic are associated (or correlated) with King Slide. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of King Slide Works has no effect on the direction of Tong Hsing i.e., Tong Hsing and King Slide go up and down completely randomly.
Pair Corralation between Tong Hsing and King Slide
Assuming the 90 days trading horizon Tong Hsing Electronic is expected to under-perform the King Slide. But the stock apears to be less risky and, when comparing its historical volatility, Tong Hsing Electronic is 1.67 times less risky than King Slide. The stock trades about -0.15 of its potential returns per unit of risk. The King Slide Works is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 145,000 in King Slide Works on December 20, 2024 and sell it today you would earn a total of 47,500 from holding King Slide Works or generate 32.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tong Hsing Electronic vs. King Slide Works
Performance |
Timeline |
Tong Hsing Electronic |
King Slide Works |
Tong Hsing and King Slide Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tong Hsing and King Slide
The main advantage of trading using opposite Tong Hsing and King Slide positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tong Hsing position performs unexpectedly, King Slide 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 King Slide will offset losses from the drop in King Slide's long position.Tong Hsing vs. Kinsus Interconnect Technology | Tong Hsing vs. Unimicron Technology Corp | Tong Hsing vs. Nan Ya Printed | Tong Hsing vs. WIN Semiconductors |
King Slide vs. Eclat Textile Co | King Slide vs. Advantech Co | King Slide vs. Chicony Electronics Co | King Slide vs. Merida Industry Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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