Correlation Between HomeToGo and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both HomeToGo and Axcelis 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 HomeToGo and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HomeToGo SE and Axcelis Technologies, you can compare the effects of market volatilities on HomeToGo and Axcelis 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 HomeToGo with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of HomeToGo and Axcelis Technologies.
Diversification Opportunities for HomeToGo and Axcelis Technologies
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between HomeToGo and Axcelis is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding HomeToGo SE and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and HomeToGo 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 HomeToGo SE are associated (or correlated) with Axcelis Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axcelis Technologies has no effect on the direction of HomeToGo i.e., HomeToGo and Axcelis Technologies go up and down completely randomly.
Pair Corralation between HomeToGo and Axcelis Technologies
Assuming the 90 days trading horizon HomeToGo SE is expected to generate 1.33 times more return on investment than Axcelis Technologies. However, HomeToGo is 1.33 times more volatile than Axcelis Technologies. It trades about -0.06 of its potential returns per unit of risk. Axcelis Technologies is currently generating about -0.14 per unit of risk. If you would invest 209.00 in HomeToGo SE on September 26, 2024 and sell it today you would lose (12.00) from holding HomeToGo SE or give up 5.74% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
HomeToGo SE vs. Axcelis Technologies
Performance |
| Timeline |
| HomeToGo SE |
| Axcelis Technologies |
HomeToGo and Axcelis Technologies Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HomeToGo and Axcelis Technologies
The main advantage of trading using opposite HomeToGo and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HomeToGo position performs unexpectedly, Axcelis 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 Axcelis Technologies will offset losses from the drop in Axcelis Technologies' long position.| HomeToGo vs. Alphabet Class A | HomeToGo vs. Alphabet | HomeToGo vs. Meta Platforms | HomeToGo vs. Tencent Holdings Ltd |
| Axcelis Technologies vs. Apple Inc | Axcelis Technologies vs. Apple Inc | Axcelis Technologies vs. Apple Inc | Axcelis Technologies vs. Apple Inc |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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