OBSHX SHIPPING (Norway) Statistic Functions Beta

OBSHP
  

 113.86  2.78  2.50%   

OBSHX SHIPPING statistic functions tool provides the execution environment for running the Beta function and other technical functions against OBSHX SHIPPING. OBSHX SHIPPING value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. OBSHX SHIPPING statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on OBSHX SHIPPING PR correlated with the market. If Beta is less than 0 OBSHX SHIPPING generally moves in the opposite direction as compared to the market. If OBSHX SHIPPING Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one OBSHX SHIPPING PR is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of OBSHX SHIPPING is generally in the same direction as the market. If Beta > 1 OBSHX SHIPPING moves generally in the same direction as, but more than the movement of the benchmark.
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OBSHX SHIPPING Technical Analysis Modules

Most technical analysis of OBSHX SHIPPING help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for OBSHX from various momentum indicators to cycle indicators. When you analyze OBSHX charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

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OBSHX SHIPPING PR pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if OBSHX SHIPPING position performs unexpectedly, the other equity 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 OBSHX SHIPPING will appreciate offsetting losses from the drop in the long position's value.

OBSHX SHIPPING Pair Correlation

Correlation Analysis For Tax-loss Harvesting

Check out Your Equity Center. Note that the OBSHX SHIPPING PR information on this page should be used as a complementary analysis to other OBSHX SHIPPING's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Tools for OBSHX Index

When running OBSHX SHIPPING PR price analysis, check to measure OBSHX SHIPPING's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy OBSHX SHIPPING is operating at the current time. Most of OBSHX SHIPPING's value examination focuses on studying past and present price action to predict the probability of OBSHX SHIPPING's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move OBSHX SHIPPING's price. Additionally, you may evaluate how the addition of OBSHX SHIPPING to your portfolios can decrease your overall portfolio volatility.
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