Correlation Between Netflix and Columbia Thermostat
Can any of the company-specific risk be diversified away by investing in both Netflix and Columbia Thermostat 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 Netflix and Columbia Thermostat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netflix and Columbia Thermostat Fund, you can compare the effects of market volatilities on Netflix and Columbia Thermostat 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 Netflix with a short position of Columbia Thermostat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netflix and Columbia Thermostat.
Diversification Opportunities for Netflix and Columbia Thermostat
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Netflix and Columbia is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Netflix and Columbia Thermostat Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Thermostat and Netflix 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 Netflix are associated (or correlated) with Columbia Thermostat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Thermostat has no effect on the direction of Netflix i.e., Netflix and Columbia Thermostat go up and down completely randomly.
Pair Corralation between Netflix and Columbia Thermostat
Given the investment horizon of 90 days Netflix is expected to generate 4.82 times more return on investment than Columbia Thermostat. However, Netflix is 4.82 times more volatile than Columbia Thermostat Fund. It trades about 0.11 of its potential returns per unit of risk. Columbia Thermostat Fund is currently generating about 0.1 per unit of risk. If you would invest 43,742 in Netflix on September 12, 2024 and sell it today you would earn a total of 47,593 from holding Netflix or generate 108.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Netflix vs. Columbia Thermostat Fund
Performance |
| Timeline |
| Netflix |
| Columbia Thermostat |
Netflix and Columbia Thermostat Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Netflix and Columbia Thermostat
The main advantage of trading using opposite Netflix and Columbia Thermostat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netflix position performs unexpectedly, Columbia Thermostat 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 Columbia Thermostat will offset losses from the drop in Columbia Thermostat's long position.| Netflix vs. Paramount Global Class | Netflix vs. Roku Inc | Netflix vs. Warner Bros Discovery | Netflix vs. AMC Entertainment Holdings |
| Columbia Thermostat vs. Columbia Thermostat Fund | Columbia Thermostat vs. Columbia Income Builder | Columbia Thermostat vs. Columbia Balanced Fund |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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