Tel Aviv (Israel) Market Value
| TASE Stock | ILA 2,520 10.00 0.40% |
| Symbol | Tel |
Tel Aviv '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 Tel Aviv'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 Tel Aviv.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Tel Aviv on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Tel Aviv Stock or generate 0.0% return on investment in Tel Aviv over 30 days. Tel Aviv is related to or competes with Bank Leumi, Elbit Systems, El Al, Bank Hapoalim, and Israel Discount. The Tel-Aviv Stock Exchange Ltd. manages securities stock exchange and related activities in Israel More
Tel Aviv 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 Tel Aviv'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 Tel Aviv Stock upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.99 | |||
| Information Ratio | 0.1417 | |||
| Maximum Drawdown | 13.53 | |||
| Value At Risk | (3.01) | |||
| Potential Upside | 4.96 |
Tel Aviv Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tel Aviv's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tel Aviv's standard deviation. In reality, there are many statistical measures that can use Tel Aviv historical prices to predict the future Tel Aviv's volatility.| Risk Adjusted Performance | 0.1118 | |||
| Jensen Alpha | 0.4179 | |||
| Total Risk Alpha | 0.1777 | |||
| Sortino Ratio | 0.1808 | |||
| Treynor Ratio | 47.55 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tel Aviv'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.
Tel Aviv Stock Backtested Returns
Tel Aviv appears to be very steady, given 3 months investment horizon. Tel Aviv Stock owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the firm had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Tel Aviv Stock, which you can use to evaluate the volatility of the company. Please review Tel Aviv's Semi Deviation of 1.7, risk adjusted performance of 0.1118, and Coefficient Of Variation of 592.67 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Tel Aviv holds a performance score of 13. The entity has a beta of 0.0088, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Tel Aviv's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tel Aviv is expected to be smaller as well. Please check Tel Aviv's sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Tel Aviv's existing price patterns will revert.
Auto-correlation | -0.88 |
Excellent reverse predictability
Tel Aviv Stock has excellent reverse predictability. Overlapping area represents the amount of predictability between Tel Aviv time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Tel Aviv Stock price movement. The serial correlation of -0.88 indicates that approximately 88.0% of current Tel Aviv price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.88 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 920.69 |
Tel Aviv Stock lagged returns against current returns
Autocorrelation, which is Tel Aviv 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 Tel Aviv's stock expected returns. We can calculate the autocorrelation of Tel Aviv returns to help us make a trade decision. For example, suppose you find that Tel Aviv 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 |
Tel Aviv 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 Tel Aviv stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tel Aviv stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tel Aviv stock over time.
Current vs Lagged Prices |
| Timeline |
Tel Aviv Lagged Returns
When evaluating Tel Aviv's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tel Aviv stock have on its future price. Tel Aviv 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, Tel Aviv autocorrelation shows the relationship between Tel Aviv stock current value and its past values and can show if there is a momentum factor associated with investing in Tel Aviv Stock.
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 Tel Aviv 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, Tel Aviv's short interest history, or implied volatility extrapolated from Tel Aviv options trading.
Currently Active Assets on Macroaxis
Check out Tel Aviv Correlation, Tel Aviv Volatility and Tel Aviv Alpha and Beta module to complement your research on Tel Aviv. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Tel Stock analysis
When running Tel Aviv's price analysis, check to measure Tel Aviv'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 Tel Aviv is operating at the current time. Most of Tel Aviv's value examination focuses on studying past and present price action to predict the probability of Tel Aviv's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tel Aviv's price. Additionally, you may evaluate how the addition of Tel Aviv to your portfolios can decrease your overall portfolio volatility.
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Tel Aviv 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.