Correlation Between Nan Ya and SDI Corp
Can any of the company-specific risk be diversified away by investing in both Nan Ya and SDI Corp 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 Nan Ya and SDI Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nan Ya Plastics and SDI Corp, you can compare the effects of market volatilities on Nan Ya and SDI Corp 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 Nan Ya with a short position of SDI Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nan Ya and SDI Corp.
Diversification Opportunities for Nan Ya and SDI Corp
Poor diversification
The 3 months correlation between Nan and SDI is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Nan Ya Plastics and SDI Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SDI Corp and Nan Ya 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 Nan Ya Plastics are associated (or correlated) with SDI Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SDI Corp has no effect on the direction of Nan Ya i.e., Nan Ya and SDI Corp go up and down completely randomly.
Pair Corralation between Nan Ya and SDI Corp
Assuming the 90 days trading horizon Nan Ya Plastics is expected to generate 0.59 times more return on investment than SDI Corp. However, Nan Ya Plastics is 1.69 times less risky than SDI Corp. It trades about -0.12 of its potential returns per unit of risk. SDI Corp is currently generating about -0.26 per unit of risk. If you would invest 4,180 in Nan Ya Plastics on September 5, 2024 and sell it today you would lose (215.00) from holding Nan Ya Plastics or give up 5.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Nan Ya Plastics vs. SDI Corp
Performance |
Timeline |
Nan Ya Plastics |
SDI Corp |
Nan Ya and SDI Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nan Ya and SDI Corp
The main advantage of trading using opposite Nan Ya and SDI Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nan Ya position performs unexpectedly, SDI Corp 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 SDI Corp will offset losses from the drop in SDI Corp's long position.The idea behind Nan Ya Plastics and SDI Corp 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.SDI Corp vs. Compeq Manufacturing Co | SDI Corp vs. Taiwan Mask Corp | SDI Corp vs. Gold Circuit Electronics | SDI Corp vs. Pan Jit International |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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