Correlation Between Tuksu Engineering and BIT Computer
Can any of the company-specific risk be diversified away by investing in both Tuksu Engineering and BIT Computer 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 Tuksu Engineering and BIT Computer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tuksu Engineering ConstructionLtd and BIT Computer Co, you can compare the effects of market volatilities on Tuksu Engineering and BIT Computer 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 Tuksu Engineering with a short position of BIT Computer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tuksu Engineering and BIT Computer.
Diversification Opportunities for Tuksu Engineering and BIT Computer
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Tuksu and BIT is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Tuksu Engineering Construction and BIT Computer Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BIT Computer and Tuksu Engineering 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 Tuksu Engineering ConstructionLtd are associated (or correlated) with BIT Computer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BIT Computer has no effect on the direction of Tuksu Engineering i.e., Tuksu Engineering and BIT Computer go up and down completely randomly.
Pair Corralation between Tuksu Engineering and BIT Computer
Assuming the 90 days trading horizon Tuksu Engineering ConstructionLtd is expected to generate 2.55 times more return on investment than BIT Computer. However, Tuksu Engineering is 2.55 times more volatile than BIT Computer Co. It trades about 0.03 of its potential returns per unit of risk. BIT Computer Co is currently generating about -0.06 per unit of risk. If you would invest 586,000 in Tuksu Engineering ConstructionLtd on September 4, 2024 and sell it today you would earn a total of 19,000 from holding Tuksu Engineering ConstructionLtd or generate 3.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tuksu Engineering Construction vs. BIT Computer Co
Performance |
Timeline |
Tuksu Engineering |
BIT Computer |
Tuksu Engineering and BIT Computer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tuksu Engineering and BIT Computer
The main advantage of trading using opposite Tuksu Engineering and BIT Computer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tuksu Engineering position performs unexpectedly, BIT Computer 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 BIT Computer will offset losses from the drop in BIT Computer's long position.Tuksu Engineering vs. System and Application | Tuksu Engineering vs. Lotte Data Communication | Tuksu Engineering vs. SCI Information Service | Tuksu Engineering vs. DC Media Co |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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