Avrot Industries (Israel) Market Value
AVRT Stock | ILA 61.00 0.00 0.00% |
Symbol | Avrot |
Avrot Industries 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Avrot Industries' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Avrot Industries.
05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Avrot Industries on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Avrot Industries or generate 0.0% return on investment in Avrot Industries over 720 days. Avrot Industries is related to or competes with Al Bad, Gan Shmuel, and Analyst IMS. Avrot Industries Ltd engages in the lining and coating of steel pipes in Israel More
Avrot Industries Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Avrot Industries' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Avrot Industries upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 5.7 | |||
Information Ratio | 0.0383 | |||
Maximum Drawdown | 43.55 | |||
Value At Risk | (5.80) | |||
Potential Upside | 11.09 |
Avrot Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Avrot Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Avrot Industries' standard deviation. In reality, there are many statistical measures that can use Avrot Industries historical prices to predict the future Avrot Industries' volatility.Risk Adjusted Performance | 0.0413 | |||
Jensen Alpha | 0.432 | |||
Total Risk Alpha | (0.50) | |||
Sortino Ratio | 0.0428 | |||
Treynor Ratio | (0.24) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Avrot Industries' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Avrot Industries Backtested Returns
Avrot Industries appears to be not too volatile, given 3 months investment horizon. Avrot Industries secures Sharpe Ratio (or Efficiency) of 0.0544, which signifies that the company had a 0.0544% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Avrot Industries, which you can use to evaluate the volatility of the firm. Please makes use of Avrot Industries' Downside Deviation of 5.7, mean deviation of 2.97, and Risk Adjusted Performance of 0.0413 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Avrot Industries holds a performance score of 4. The firm shows a Beta (market volatility) of -1.37, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Avrot Industries are expected to decrease by larger amounts. On the other hand, during market turmoil, Avrot Industries is expected to outperform it. Please check Avrot Industries' jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Avrot Industries' price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Avrot Industries has no correlation between past and present. Overlapping area represents the amount of predictability between Avrot Industries time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Avrot Industries price movement. The serial correlation of 0.0 indicates that just 0.0% of current Avrot Industries price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 0.19 | |
Residual Average | 0.0 | |
Price Variance | 26.99 |
Avrot Industries lagged returns against current returns
Autocorrelation, which is Avrot Industries stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Avrot Industries' stock expected returns. We can calculate the autocorrelation of Avrot Industries returns to help us make a trade decision. For example, suppose you find that Avrot Industries has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Avrot Industries regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Avrot Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Avrot Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Avrot Industries stock over time.
Current vs Lagged Prices |
Timeline |
Avrot Industries Lagged Returns
When evaluating Avrot Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Avrot Industries stock have on its future price. Avrot Industries autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Avrot Industries autocorrelation shows the relationship between Avrot Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Avrot Industries.
Regressed Prices |
Timeline |
Pair Trading with Avrot Industries
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 Avrot 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 Avrot Industries will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Avrot 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 Avrot 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 Avrot 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 Avrot Industries to buy it.
The correlation of Avrot 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 Avrot Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Avrot 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 Avrot 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.Check out Avrot Industries Correlation, Avrot Industries Volatility and Avrot Industries Alpha and Beta module to complement your research on Avrot Industries. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for Avrot Stock analysis
When running Avrot Industries' price analysis, check to measure Avrot Industries' 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 Avrot Industries is operating at the current time. Most of Avrot Industries' value examination focuses on studying past and present price action to predict the probability of Avrot Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Avrot Industries' price. Additionally, you may evaluate how the addition of Avrot Industries to your portfolios can decrease your overall portfolio volatility.
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Avrot Industries technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.