Correlation Between Ford and Ta Liang
Can any of the company-specific risk be diversified away by investing in both Ford and Ta Liang 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 Ford and Ta Liang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Ta Liang Technology, you can compare the effects of market volatilities on Ford and Ta Liang 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 Ford with a short position of Ta Liang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Ta Liang.
Diversification Opportunities for Ford and Ta Liang
Average diversification
The 3 months correlation between Ford and 3167 is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Ta Liang Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ta Liang Technology and Ford 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 Ford Motor are associated (or correlated) with Ta Liang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ta Liang Technology has no effect on the direction of Ford i.e., Ford and Ta Liang go up and down completely randomly.
Pair Corralation between Ford and Ta Liang
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Ta Liang. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.82 times less risky than Ta Liang. The stock trades about -0.04 of its potential returns per unit of risk. The Ta Liang Technology is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 6,130 in Ta Liang Technology on September 24, 2024 and sell it today you would earn a total of 4,270 from holding Ta Liang Technology or generate 69.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.4% |
Values | Daily Returns |
Ford Motor vs. Ta Liang Technology
Performance |
Timeline |
Ford Motor |
Ta Liang Technology |
Ford and Ta Liang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Ta Liang
The main advantage of trading using opposite Ford and Ta Liang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Ta Liang 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 Ta Liang will offset losses from the drop in Ta Liang's long position.The idea behind Ford Motor and Ta Liang Technology 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.Ta Liang vs. Turvo International Co | Ta Liang vs. Sanyang Motor Co | Ta Liang vs. Global PMX Co | Ta Liang vs. Yulon Nissan Motor |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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