Correlation Between Kaltura and Willamette Valley
Can any of the company-specific risk be diversified away by investing in both Kaltura and Willamette Valley 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 Kaltura and Willamette Valley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kaltura and Willamette Valley Vineyards, you can compare the effects of market volatilities on Kaltura and Willamette Valley 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 Kaltura with a short position of Willamette Valley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kaltura and Willamette Valley.
Diversification Opportunities for Kaltura and Willamette Valley
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kaltura and Willamette is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Kaltura and Willamette Valley Vineyards in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Willamette Valley and Kaltura 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 Kaltura are associated (or correlated) with Willamette Valley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Willamette Valley has no effect on the direction of Kaltura i.e., Kaltura and Willamette Valley go up and down completely randomly.
Pair Corralation between Kaltura and Willamette Valley
Given the investment horizon of 90 days Kaltura is expected to generate 1.99 times more return on investment than Willamette Valley. However, Kaltura is 1.99 times more volatile than Willamette Valley Vineyards. It trades about 0.03 of its potential returns per unit of risk. Willamette Valley Vineyards is currently generating about -0.06 per unit of risk. If you would invest 184.00 in Kaltura on August 30, 2024 and sell it today you would earn a total of 32.00 from holding Kaltura or generate 17.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kaltura vs. Willamette Valley Vineyards
Performance |
| Timeline |
| Kaltura |
| Willamette Valley |
Kaltura and Willamette Valley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kaltura and Willamette Valley
The main advantage of trading using opposite Kaltura and Willamette Valley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaltura position performs unexpectedly, Willamette Valley 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 Willamette Valley will offset losses from the drop in Willamette Valley's long position.The idea behind Kaltura and Willamette Valley Vineyards pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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