Correlation Between Carnegie Clean and KAUFMAN ET
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and KAUFMAN ET 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 Carnegie Clean and KAUFMAN ET into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and KAUFMAN ET BROAD, you can compare the effects of market volatilities on Carnegie Clean and KAUFMAN ET 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 Carnegie Clean with a short position of KAUFMAN ET. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and KAUFMAN ET.
Diversification Opportunities for Carnegie Clean and KAUFMAN ET
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Carnegie and KAUFMAN is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and KAUFMAN ET BROAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAUFMAN ET BROAD and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with KAUFMAN ET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAUFMAN ET BROAD has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and KAUFMAN ET go up and down completely randomly.
Pair Corralation between Carnegie Clean and KAUFMAN ET
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 2.38 times more return on investment than KAUFMAN ET. However, Carnegie Clean is 2.38 times more volatile than KAUFMAN ET BROAD. It trades about 0.07 of its potential returns per unit of risk. KAUFMAN ET BROAD is currently generating about -0.22 per unit of risk. If you would invest 2.02 in Carnegie Clean Energy on September 12, 2024 and sell it today you would earn a total of 0.08 from holding Carnegie Clean Energy or generate 3.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
Carnegie Clean Energy vs. KAUFMAN ET BROAD
Performance |
Timeline |
Carnegie Clean Energy |
KAUFMAN ET BROAD |
Carnegie Clean and KAUFMAN ET Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and KAUFMAN ET
The main advantage of trading using opposite Carnegie Clean and KAUFMAN ET positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, KAUFMAN ET 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 KAUFMAN ET will offset losses from the drop in KAUFMAN ET's long position.Carnegie Clean vs. Superior Plus Corp | Carnegie Clean vs. SIVERS SEMICONDUCTORS AB | Carnegie Clean vs. Norsk Hydro ASA | Carnegie Clean vs. Reliance Steel Aluminum |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Stocks Directory Find actively traded stocks across global markets | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |