Correlation Between KVH Industries and Silicom
Can any of the company-specific risk be diversified away by investing in both KVH Industries and Silicom 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 KVH Industries and Silicom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KVH Industries and Silicom, you can compare the effects of market volatilities on KVH Industries and Silicom 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 KVH Industries with a short position of Silicom. Check out your portfolio center. Please also check ongoing floating volatility patterns of KVH Industries and Silicom.
Diversification Opportunities for KVH Industries and Silicom
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between KVH and Silicom is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding KVH Industries and Silicom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silicom and KVH Industries 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 KVH Industries are associated (or correlated) with Silicom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silicom has no effect on the direction of KVH Industries i.e., KVH Industries and Silicom go up and down completely randomly.
Pair Corralation between KVH Industries and Silicom
Given the investment horizon of 90 days KVH Industries is expected to under-perform the Silicom. But the stock apears to be less risky and, when comparing its historical volatility, KVH Industries is 1.13 times less risky than Silicom. The stock trades about -0.01 of its potential returns per unit of risk. The Silicom is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,543 in Silicom on December 28, 2024 and sell it today you would lose (47.00) from holding Silicom or give up 3.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
KVH Industries vs. Silicom
Performance |
Timeline |
KVH Industries |
Silicom |
KVH Industries and Silicom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KVH Industries and Silicom
The main advantage of trading using opposite KVH Industries and Silicom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KVH Industries position performs unexpectedly, Silicom 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 Silicom will offset losses from the drop in Silicom's long position.KVH Industries vs. Telesat Corp | KVH Industries vs. Comtech Telecommunications Corp | KVH Industries vs. Knowles Cor | KVH Industries vs. Ituran Location and |
Silicom vs. Ituran Location and | Silicom vs. Sapiens International | Silicom vs. Allot Communications | Silicom vs. Radcom |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Transaction History View history of all your transactions and understand their impact on performance |