Correlation Between General Accident and Bytes Technology
Can any of the company-specific risk be diversified away by investing in both General Accident and Bytes Technology 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 General Accident and Bytes Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Accident plc and Bytes Technology, you can compare the effects of market volatilities on General Accident and Bytes Technology 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 General Accident with a short position of Bytes Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Accident and Bytes Technology.
Diversification Opportunities for General Accident and Bytes Technology
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between General and Bytes is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding General Accident plc and Bytes Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bytes Technology and General Accident 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 General Accident plc are associated (or correlated) with Bytes Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bytes Technology has no effect on the direction of General Accident i.e., General Accident and Bytes Technology go up and down completely randomly.
Pair Corralation between General Accident and Bytes Technology
Assuming the 90 days trading horizon General Accident plc is expected to generate 0.44 times more return on investment than Bytes Technology. However, General Accident plc is 2.29 times less risky than Bytes Technology. It trades about 0.05 of its potential returns per unit of risk. Bytes Technology is currently generating about -0.51 per unit of risk. If you would invest 12,200 in General Accident plc on October 5, 2024 and sell it today you would earn a total of 50.00 from holding General Accident plc or generate 0.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Accident plc vs. Bytes Technology
Performance |
Timeline |
General Accident plc |
Bytes Technology |
General Accident and Bytes Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Accident and Bytes Technology
The main advantage of trading using opposite General Accident and Bytes Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Accident position performs unexpectedly, Bytes Technology 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 Bytes Technology will offset losses from the drop in Bytes Technology's long position.General Accident vs. Edita Food Industries | General Accident vs. Accesso Technology Group | General Accident vs. Ebro Foods | General Accident vs. Albion Technology General |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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