Amot Investments (Israel) Market Value
| AMOT Stock | ILS 1,629 10.00 0.62% |
| Symbol | Amot |
Amot Investments '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 Amot Investments' 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 Amot Investments.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Amot Investments on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Amot Investments or generate 0.0% return on investment in Amot Investments over 30 days. Amot Investments is related to or competes with Isras Investment, and Harel Insurance. Its properties include central bus stations, commercial centers, supermarkets, banks, and other commercial areas More
Amot Investments 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 Amot Investments' 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 Amot Investments upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 9.2 | |||
| Value At Risk | (3.15) | |||
| Potential Upside | 3.68 |
Amot Investments Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amot Investments' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amot Investments' standard deviation. In reality, there are many statistical measures that can use Amot Investments historical prices to predict the future Amot Investments' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.43) | |||
| Treynor Ratio | (2.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amot Investments' 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.
Amot Investments Backtested Returns
Amot Investments secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the company had a -0.1% return per unit of risk over the last 3 months. Amot Investments exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Amot Investments' Risk Adjusted Performance of (0.07), mean deviation of 1.52, and Standard Deviation of 1.97 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Amot Investments' returns are expected to increase less than the market. However, during the bear market, the loss of holding Amot Investments is expected to be smaller as well. Amot Investments has an expected return of -0.21%. Please make sure to confirm Amot Investments total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Amot Investments performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.51 |
Modest predictability
Amot Investments has modest predictability. Overlapping area represents the amount of predictability between Amot Investments time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Amot Investments price movement. The serial correlation of 0.51 indicates that about 51.0% of current Amot Investments price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 1678.44 |
Amot Investments lagged returns against current returns
Autocorrelation, which is Amot Investments 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 Amot Investments' stock expected returns. We can calculate the autocorrelation of Amot Investments returns to help us make a trade decision. For example, suppose you find that Amot Investments 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 |
Amot Investments 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 Amot Investments stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amot Investments stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amot Investments stock over time.
Current vs Lagged Prices |
| Timeline |
Amot Investments Lagged Returns
When evaluating Amot Investments' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amot Investments stock have on its future price. Amot Investments 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, Amot Investments autocorrelation shows the relationship between Amot Investments stock current value and its past values and can show if there is a momentum factor associated with investing in Amot Investments.
Regressed Prices |
| Timeline |
Pair Trading with Amot Investments
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 Amot Investments 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 Amot Investments will appreciate offsetting losses from the drop in the long position's value.Moving together with Amot Stock
| 0.78 | BOLT | BioLight Life Sciences | PairCorr |
Moving against Amot Stock
| 0.84 | PRTC | Priortech | PairCorr |
| 0.62 | PSTI | Pluristem | PairCorr |
| 0.42 | GPGB | GP Global Power | PairCorr |
The ability to find closely correlated positions to Amot Investments could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amot Investments 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 Amot Investments - 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 Amot Investments to buy it.
The correlation of Amot Investments 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 Amot Investments moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amot Investments 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 Amot Investments 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 Amot Investments Correlation, Amot Investments Volatility and Amot Investments Alpha and Beta module to complement your research on Amot Investments. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Complementary Tools for Amot Stock analysis
When running Amot Investments' price analysis, check to measure Amot Investments' 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 Amot Investments is operating at the current time. Most of Amot Investments' value examination focuses on studying past and present price action to predict the probability of Amot Investments' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Amot Investments' price. Additionally, you may evaluate how the addition of Amot Investments to your portfolios can decrease your overall portfolio volatility.
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Amot Investments 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.