Correlation Between FSP Technology and Dow Jones
Can any of the company-specific risk be diversified away by investing in both FSP Technology and Dow Jones 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 FSP Technology and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FSP Technology and Dow Jones Industrial, you can compare the effects of market volatilities on FSP Technology and Dow Jones 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 FSP Technology with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of FSP Technology and Dow Jones.
Diversification Opportunities for FSP Technology and Dow Jones
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FSP and Dow is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding FSP Technology and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and FSP Technology 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 FSP Technology are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of FSP Technology i.e., FSP Technology and Dow Jones go up and down completely randomly.
Pair Corralation between FSP Technology and Dow Jones
Assuming the 90 days trading horizon FSP Technology is expected to under-perform the Dow Jones. In addition to that, FSP Technology is 7.21 times more volatile than Dow Jones Industrial. It trades about -0.09 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.02 per unit of volatility. If you would invest 4,395,819 in Dow Jones Industrial on September 14, 2024 and sell it today you would lose (13,013) from holding Dow Jones Industrial or give up 0.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
FSP Technology vs. Dow Jones Industrial
Performance |
Timeline |
FSP Technology and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
FSP Technology
Pair trading matchups for FSP Technology
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with FSP Technology and Dow Jones
The main advantage of trading using opposite FSP Technology and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FSP Technology position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.FSP Technology vs. Yang Ming Marine | FSP Technology vs. Wan Hai Lines | FSP Technology vs. U Ming Marine Transport | FSP Technology vs. Taiwan Navigation Co |
Dow Jones vs. Hurco Companies | Dow Jones vs. Tyson Foods | Dow Jones vs. MYR Group | Dow Jones vs. Cannae Holdings |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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