Dor Alon (Israel) Market Value
| DRAL Stock | ILS 7,100 145.00 2.00% |
| Symbol | Dor |
Dor Alon '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 Dor Alon's 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 Dor Alon.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Dor Alon on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Dor Alon or generate 0.0% return on investment in Dor Alon over 30 days. Dor Alon is related to or competes with Clal Insurance, Israel Discount, Bezeq Israeli, Alony Hetz, and Harel Insurance. Dor Alon Energy In Israel Ltd. develops, builds, and operates fueling complexes and commercial centers in Israel More
Dor Alon 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 Dor Alon's 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 Dor Alon upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.49 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.37 | |||
| Value At Risk | (2.27) | |||
| Potential Upside | 2.19 |
Dor Alon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dor Alon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dor Alon's standard deviation. In reality, there are many statistical measures that can use Dor Alon historical prices to predict the future Dor Alon's volatility.| Risk Adjusted Performance | 0.0166 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0574 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dor Alon's 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.
Dor Alon Backtested Returns
Dor Alon secures Sharpe Ratio (or Efficiency) of -0.0339, which denotes the company had a -0.0339% return per unit of risk over the last 3 months. Dor Alon exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dor Alon's Coefficient Of Variation of 5786.55, mean deviation of 0.9561, and Downside Deviation of 1.49 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.27, which means not very significant fluctuations relative to the market. As returns on the market increase, Dor Alon's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dor Alon is expected to be smaller as well. Dor Alon has an expected return of -0.048%. Please make sure to confirm Dor Alon jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if Dor Alon performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.18 |
Very weak predictability
Dor Alon has very weak predictability. Overlapping area represents the amount of predictability between Dor Alon time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Dor Alon price movement. The serial correlation of 0.18 indicates that over 18.0% of current Dor Alon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 24.3 K |
Dor Alon lagged returns against current returns
Autocorrelation, which is Dor Alon 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 Dor Alon's stock expected returns. We can calculate the autocorrelation of Dor Alon returns to help us make a trade decision. For example, suppose you find that Dor Alon 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 |
Dor Alon 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 Dor Alon stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dor Alon stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dor Alon stock over time.
Current vs Lagged Prices |
| Timeline |
Dor Alon Lagged Returns
When evaluating Dor Alon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dor Alon stock have on its future price. Dor Alon 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, Dor Alon autocorrelation shows the relationship between Dor Alon stock current value and its past values and can show if there is a momentum factor associated with investing in Dor Alon.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Dor Alon in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Dor Alon's short interest history, or implied volatility extrapolated from Dor Alon options trading.
Pair Trading with Dor Alon
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 Dor Alon 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 Dor Alon will appreciate offsetting losses from the drop in the long position's value.Moving together with Dor Stock
| 0.7 | ILCO | Israel Corp | PairCorr |
The ability to find closely correlated positions to Dor Alon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dor Alon 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 Dor Alon - 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 Dor Alon to buy it.
The correlation of Dor Alon 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 Dor Alon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dor Alon 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 Dor Alon 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 Dor Alon Correlation, Dor Alon Volatility and Dor Alon Alpha and Beta module to complement your research on Dor Alon. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Complementary Tools for Dor Stock analysis
When running Dor Alon's price analysis, check to measure Dor Alon'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 Dor Alon is operating at the current time. Most of Dor Alon's value examination focuses on studying past and present price action to predict the probability of Dor Alon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dor Alon's price. Additionally, you may evaluate how the addition of Dor Alon to your portfolios can decrease your overall portfolio volatility.
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Dor Alon 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.