IDI Insurance (Israel) Market Value
| IDIN Stock | ILS 10,410 20.00 0.19% |
| Symbol | IDI |
IDI Insurance '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 IDI Insurance'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 IDI Insurance.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in IDI Insurance on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding IDI Insurance or generate 0.0% return on investment in IDI Insurance over 30 days. IDI Insurance is related to or competes with Bezeq Israeli, and Elbit Systems. Insurance Company Ltd. provides insurance products and services to individuals and corporate customers in Israel More
IDI Insurance 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 IDI Insurance'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 IDI Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.69 | |||
| Information Ratio | 0.0062 | |||
| Maximum Drawdown | 11.78 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 3.85 |
IDI Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IDI Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IDI Insurance's standard deviation. In reality, there are many statistical measures that can use IDI Insurance historical prices to predict the future IDI Insurance's volatility.| Risk Adjusted Performance | 0.0391 | |||
| Jensen Alpha | 0.059 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | 0.0077 | |||
| Treynor Ratio | 0.2132 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IDI Insurance'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.
IDI Insurance Backtested Returns
We consider IDI Insurance very steady. IDI Insurance holds Efficiency (Sharpe) Ratio of 0.0117, which attests that the entity had a 0.0117% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for IDI Insurance, which you can use to evaluate the volatility of the firm. Please check out IDI Insurance's Market Risk Adjusted Performance of 0.2232, semi deviation of 1.57, and Risk Adjusted Performance of 0.0391 to validate if the risk estimate we provide is consistent with the expected return of 0.0224%. The company retains a Market Volatility (i.e., Beta) of 0.46, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IDI Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding IDI Insurance is expected to be smaller as well. IDI Insurance at this time retains a risk of 1.91%. Please check out IDI Insurance jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if IDI Insurance will be following its current trending patterns.
Auto-correlation | -0.49 |
Modest reverse predictability
IDI Insurance has modest reverse predictability. Overlapping area represents the amount of predictability between IDI Insurance 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 IDI Insurance price movement. The serial correlation of -0.49 indicates that about 49.0% of current IDI Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 14.3 K |
IDI Insurance lagged returns against current returns
Autocorrelation, which is IDI Insurance 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 IDI Insurance's stock expected returns. We can calculate the autocorrelation of IDI Insurance returns to help us make a trade decision. For example, suppose you find that IDI Insurance 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 |
IDI Insurance 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 IDI Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IDI Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IDI Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
IDI Insurance Lagged Returns
When evaluating IDI Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IDI Insurance stock have on its future price. IDI Insurance 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, IDI Insurance autocorrelation shows the relationship between IDI Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in IDI Insurance.
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 IDI Insurance 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, IDI Insurance's short interest history, or implied volatility extrapolated from IDI Insurance options trading.
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Complementary Tools for IDI Stock analysis
When running IDI Insurance's price analysis, check to measure IDI Insurance'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 IDI Insurance is operating at the current time. Most of IDI Insurance's value examination focuses on studying past and present price action to predict the probability of IDI Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IDI Insurance's price. Additionally, you may evaluate how the addition of IDI Insurance to your portfolios can decrease your overall portfolio volatility.
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IDI Insurance 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.