Correlation Between BASE and Kaltura

Can any of the company-specific risk be diversified away by investing in both BASE and Kaltura 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 BASE and Kaltura into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between BASE Inc and Kaltura, you can compare the effects of market volatilities on BASE and Kaltura 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 BASE with a short position of Kaltura. Check out your portfolio center. Please also check ongoing floating volatility patterns of BASE and Kaltura.

Diversification Opportunities for BASE and Kaltura

0.19

Correlation Coefficient

BASE  Kaltura

Average diversification

The 3 months correlation between BASE and Kaltura is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding BASE Inc and Kaltura in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaltura and BASE 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 BASE Inc are associated (or correlated) with Kaltura. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaltura has no effect on the direction of BASE i.e., BASE and Kaltura go up and down completely randomly.

Pair Corralation between BASE and Kaltura

Assuming the 90 days horizon BASE is expected to generate 1.44 times less return on investment than Kaltura. But when comparing it to its historical volatility, BASE Inc is 1.01 times less risky than Kaltura. It trades about 0.03 of its potential returns per unit of risk. Kaltura is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  170.00  in Kaltura on September 23, 2024 and sell it today you would earn a total of  64.00  from holding Kaltura or generate 37.65% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

BASE Inc  vs.  Kaltura

BASE Inc

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BASE Inc are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly abnormal basic indicators, BASE reported solid returns over the last few months and may actually be approaching a breakup point.

Kaltura

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Kaltura are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Even with relatively fragile basic indicators, Kaltura reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with BASE and Kaltura

The main advantage of trading using opposite BASE and Kaltura positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BASE position performs unexpectedly, Kaltura 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 Kaltura will offset losses from the drop in Kaltura's long position.

The idea behind BASE Inc and Kaltura 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.

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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.