Correlation Between Ingentec and AzureWave Technologies
Can any of the company-specific risk be diversified away by investing in both Ingentec and AzureWave Technologies 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 Ingentec and AzureWave Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ingentec and AzureWave Technologies, you can compare the effects of market volatilities on Ingentec and AzureWave Technologies 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 Ingentec with a short position of AzureWave Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ingentec and AzureWave Technologies.
Diversification Opportunities for Ingentec and AzureWave Technologies
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ingentec and AzureWave is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Ingentec and AzureWave Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AzureWave Technologies and Ingentec 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 Ingentec are associated (or correlated) with AzureWave Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AzureWave Technologies has no effect on the direction of Ingentec i.e., Ingentec and AzureWave Technologies go up and down completely randomly.
Pair Corralation between Ingentec and AzureWave Technologies
Assuming the 90 days trading horizon Ingentec is expected to under-perform the AzureWave Technologies. But the stock apears to be less risky and, when comparing its historical volatility, Ingentec is 3.04 times less risky than AzureWave Technologies. The stock trades about -0.38 of its potential returns per unit of risk. The AzureWave Technologies is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 4,360 in AzureWave Technologies on September 23, 2024 and sell it today you would earn a total of 750.00 from holding AzureWave Technologies or generate 17.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ingentec vs. AzureWave Technologies
Performance |
Timeline |
Ingentec |
AzureWave Technologies |
Ingentec and AzureWave Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ingentec and AzureWave Technologies
The main advantage of trading using opposite Ingentec and AzureWave Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ingentec position performs unexpectedly, AzureWave Technologies 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 AzureWave Technologies will offset losses from the drop in AzureWave Technologies' long position.Ingentec vs. Nan Ya Plastics | Ingentec vs. China Petrochemical Development | Ingentec vs. Eternal Materials Co | Ingentec vs. TSRC Corp |
AzureWave Technologies vs. Century Wind Power | AzureWave Technologies vs. Green World Fintech | AzureWave Technologies vs. Ingentec | AzureWave Technologies vs. Chaheng Precision Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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