Correlation Between Tradegate and KINGBOARD CHEMICAL
Can any of the company-specific risk be diversified away by investing in both Tradegate and KINGBOARD CHEMICAL 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 Tradegate and KINGBOARD CHEMICAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tradegate AG Wertpapierhandelsbank and KINGBOARD CHEMICAL, you can compare the effects of market volatilities on Tradegate and KINGBOARD CHEMICAL 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 Tradegate with a short position of KINGBOARD CHEMICAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tradegate and KINGBOARD CHEMICAL.
Diversification Opportunities for Tradegate and KINGBOARD CHEMICAL
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Tradegate and KINGBOARD is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Tradegate AG Wertpapierhandels and KINGBOARD CHEMICAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KINGBOARD CHEMICAL and Tradegate 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 Tradegate AG Wertpapierhandelsbank are associated (or correlated) with KINGBOARD CHEMICAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KINGBOARD CHEMICAL has no effect on the direction of Tradegate i.e., Tradegate and KINGBOARD CHEMICAL go up and down completely randomly.
Pair Corralation between Tradegate and KINGBOARD CHEMICAL
Assuming the 90 days horizon Tradegate is expected to generate 851.91 times less return on investment than KINGBOARD CHEMICAL. But when comparing it to its historical volatility, Tradegate AG Wertpapierhandelsbank is 10.1 times less risky than KINGBOARD CHEMICAL. It trades about 0.0 of its potential returns per unit of risk. KINGBOARD CHEMICAL is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 188.00 in KINGBOARD CHEMICAL on September 25, 2024 and sell it today you would earn a total of 36.00 from holding KINGBOARD CHEMICAL or generate 19.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tradegate AG Wertpapierhandels vs. KINGBOARD CHEMICAL
Performance |
Timeline |
Tradegate AG Wertpap |
KINGBOARD CHEMICAL |
Tradegate and KINGBOARD CHEMICAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tradegate and KINGBOARD CHEMICAL
The main advantage of trading using opposite Tradegate and KINGBOARD CHEMICAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tradegate position performs unexpectedly, KINGBOARD CHEMICAL 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 KINGBOARD CHEMICAL will offset losses from the drop in KINGBOARD CHEMICAL's long position.Tradegate vs. Morgan Stanley | Tradegate vs. Morgan Stanley | Tradegate vs. The Charles Schwab | Tradegate vs. The Goldman Sachs |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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