Correlation Between Kava and DATA

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

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

Diversification Opportunities for Kava and DATA

0.72

Correlation Coefficient

Kava  DATA

Poor diversification

The 3 months correlation between Kava and DATA is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Kava and DATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA and Kava 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 Kava are associated (or correlated) with DATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATA has no effect on the direction of Kava i.e., Kava and DATA go up and down completely randomly.

Pair Corralation between Kava and DATA

Assuming the 90 days trading horizon Kava is expected to generate 1.06 times more return on investment than DATA. However, Kava is 1.06 times more volatile than DATA. It trades about 0.23 of its potential returns per unit of risk. DATA is currently generating about 0.1 per unit of risk. If you would invest  29.00  in Kava on September 1, 2024 and sell it today you would earn a total of  31.00  from holding Kava or generate 106.9% return on investment over 90 days.

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

Kava  vs.  DATA

Kava

Risk-Adjusted Performance

18 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Kava are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Kava exhibited solid returns over the last few months and may actually be approaching a breakup point.

DATA

Risk-Adjusted Performance

8 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in DATA are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, DATA exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Kava and DATA

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

The idea behind Kava and DATA 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.