Inter Industries (Israel) Statistic Functions Linear Regression
| ININ Stock | ILS 250.10 2.80 1.11% |
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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 Linear Regression model generates relationship between price series of Inter Industries and its peer or benchmark and helps predict Inter Industries future price from its past values.
Inter Industries Technical Analysis Modules
Most technical analysis of Inter Industries 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 Inter from various momentum indicators to cycle indicators. When you analyze Inter 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.| Cycle Indicators | ||
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About Inter Industries Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Inter Industries. We use our internally-developed statistical techniques to arrive at the intrinsic value of Inter Industries based on widely used predictive technical indicators. In general, we focus on analyzing Inter Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Inter Industries's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Inter Industries's intrinsic value. In addition to deriving basic predictive indicators for Inter Industries, we also check how macroeconomic factors affect Inter Industries price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Inter Industries 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 Inter Industries 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 Inter Industries will appreciate offsetting losses from the drop in the long position's value.Inter Industries Pair Trading
Inter Industries Pair Trading Analysis
The ability to find closely correlated positions to Inter Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Inter Industries when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Inter Industries - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Inter Industries to buy it.
The correlation of Inter Industries is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Inter Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Inter Industries moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Inter Industries can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Inter Stock
Inter Industries financial ratios help investors to determine whether Inter Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Inter with respect to the benefits of owning Inter Industries security.