Correlation Between Sea and KVH Industries

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

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

Diversification Opportunities for Sea and KVH Industries

-0.09

Correlation Coefficient

Sea  KVH Industries

Good diversification

The 3 months correlation between Sea and KVH is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Sea and KVH Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KVH Industries and Sea 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 Sea are associated (or correlated) with KVH Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KVH Industries has no effect on the direction of Sea i.e., Sea and KVH Industries go up and down completely randomly.

Pair Corralation between Sea and KVH Industries

Allowing for the 90-day total investment horizon Sea is expected to generate 1.33 times more return on investment than KVH Industries. However, Sea is 1.33 times more volatile than KVH Industries. It trades about 0.35 of its potential returns per unit of risk. KVH Industries is currently generating about 0.0 per unit of risk. If you would invest  5,343  in Sea on February 4, 2024 and sell it today you would earn a total of  1,323  from holding Sea or generate 24.76% return on investment over 90 days.

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

Sea  vs.  KVH Industries

Sea

Risk-Adjusted Performance

22 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Sea are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Sea exhibited solid returns over the last few months and may actually be approaching a breakup point.

KVH Industries

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in KVH Industries are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite fairly strong technical indicators, KVH Industries is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

Pair Trading with Sea and KVH Industries

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

The idea behind Sea and KVH Industries 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.