Harel Insurance (Israel) Market Value
| HARL Stock | ILS 3,368 81.00 2.35% |
| Symbol | Harel |
Harel 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 Harel 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 Harel Insurance.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Harel Insurance on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Harel Insurance Investments or generate 0.0% return on investment in Harel Insurance over 30 days. Harel Insurance is related to or competes with Bezeq Israeli, and Elbit Systems. Harel Insurance Investments Financial Services Ltd More
Harel 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 Harel 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 Harel Insurance Investments upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.83 | |||
| Information Ratio | 0.0956 | |||
| Maximum Drawdown | 12.35 | |||
| Value At Risk | (2.81) | |||
| Potential Upside | 4.09 |
Harel Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harel Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harel Insurance's standard deviation. In reality, there are many statistical measures that can use Harel Insurance historical prices to predict the future Harel Insurance's volatility.| Risk Adjusted Performance | 0.0929 | |||
| Jensen Alpha | 0.3604 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.1195 | |||
| Treynor Ratio | (0.46) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Harel 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.
Harel Insurance Inve Backtested Returns
Harel Insurance appears to be very steady, given 3 months investment horizon. Harel Insurance Inve holds Efficiency (Sharpe) Ratio of 0.2, which attests that the entity had a 0.2% return per unit of risk over the last 3 months. We have found thirty technical indicators for Harel Insurance Inve, which you can use to evaluate the volatility of the firm. Please utilize Harel Insurance's Risk Adjusted Performance of 0.0929, market risk adjusted performance of (0.45), and Downside Deviation of 1.83 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Harel Insurance holds a performance score of 15. The company retains a Market Volatility (i.e., Beta) of -0.66, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Harel Insurance are expected to decrease at a much lower rate. During the bear market, Harel Insurance is likely to outperform the market. Please check Harel Insurance's treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Harel Insurance's current trending patterns will revert.
Auto-correlation | -0.68 |
Very good reverse predictability
Harel Insurance Investments has very good reverse predictability. Overlapping area represents the amount of predictability between Harel Insurance time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Harel Insurance Inve price movement. The serial correlation of -0.68 indicates that around 68.0% of current Harel Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 6180.11 |
Harel Insurance Inve lagged returns against current returns
Autocorrelation, which is Harel 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 Harel Insurance's stock expected returns. We can calculate the autocorrelation of Harel Insurance returns to help us make a trade decision. For example, suppose you find that Harel 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 |
Harel 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 Harel Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harel Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harel Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Harel Insurance Lagged Returns
When evaluating Harel Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harel Insurance stock have on its future price. Harel 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, Harel Insurance autocorrelation shows the relationship between Harel Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Harel Insurance Investments.
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 Harel 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, Harel Insurance's short interest history, or implied volatility extrapolated from Harel Insurance options trading.
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Complementary Tools for Harel Stock analysis
When running Harel Insurance's price analysis, check to measure Harel 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 Harel Insurance is operating at the current time. Most of Harel Insurance's value examination focuses on studying past and present price action to predict the probability of Harel 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 Harel Insurance's price. Additionally, you may evaluate how the addition of Harel Insurance to your portfolios can decrease your overall portfolio volatility.
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Harel 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.