Hiron Trade (Israel) Market Value
| HRON Stock | ILA 209,460 8,540 4.25% |
| Symbol | Hiron |
Hiron Trade '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 Hiron Trade'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 Hiron Trade.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Hiron Trade on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Hiron Trade Investments Industrial or generate 0.0% return on investment in Hiron Trade over 30 days. Hiron Trade is related to or competes with Isras Investment, and Harel Insurance. Hiron-Trade Investments Industrial Buildings Ltd engages in the real estate rental activities in Israel More
Hiron Trade 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 Hiron Trade'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 Hiron Trade Investments Industrial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.05 | |||
| Information Ratio | 0.0861 | |||
| Maximum Drawdown | 10.89 | |||
| Value At Risk | (2.92) | |||
| Potential Upside | 2.92 |
Hiron Trade Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hiron Trade's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hiron Trade's standard deviation. In reality, there are many statistical measures that can use Hiron Trade historical prices to predict the future Hiron Trade's volatility.| Risk Adjusted Performance | 0.0814 | |||
| Jensen Alpha | 0.2201 | |||
| Total Risk Alpha | 0.074 | |||
| Sortino Ratio | 0.0512 | |||
| Treynor Ratio | (0.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hiron Trade'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.
Hiron Trade Investments Backtested Returns
Hiron Trade appears to be very steady, given 3 months investment horizon. Hiron Trade Investments holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hiron Trade Investments, which you can use to evaluate the volatility of the firm. Please utilize Hiron Trade's Market Risk Adjusted Performance of (0.47), risk adjusted performance of 0.0814, and Downside Deviation of 3.05 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hiron Trade holds a performance score of 10. The company retains a Market Volatility (i.e., Beta) of -0.42, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Hiron Trade are expected to decrease at a much lower rate. During the bear market, Hiron Trade is likely to outperform the market. Please check Hiron Trade's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Hiron Trade's current trending patterns will revert.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Hiron Trade Investments Industrial has insignificant reverse predictability. Overlapping area represents the amount of predictability between Hiron Trade time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Hiron Trade Investments price movement. The serial correlation of -0.16 indicates that over 16.0% of current Hiron Trade price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 18.4 M |
Hiron Trade Investments lagged returns against current returns
Autocorrelation, which is Hiron Trade 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 Hiron Trade's stock expected returns. We can calculate the autocorrelation of Hiron Trade returns to help us make a trade decision. For example, suppose you find that Hiron Trade 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 |
Hiron Trade 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 Hiron Trade stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hiron Trade stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hiron Trade stock over time.
Current vs Lagged Prices |
| Timeline |
Hiron Trade Lagged Returns
When evaluating Hiron Trade's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hiron Trade stock have on its future price. Hiron Trade 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, Hiron Trade autocorrelation shows the relationship between Hiron Trade stock current value and its past values and can show if there is a momentum factor associated with investing in Hiron Trade Investments Industrial.
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 Hiron Trade 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, Hiron Trade's short interest history, or implied volatility extrapolated from Hiron Trade options trading.
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When running Hiron Trade's price analysis, check to measure Hiron Trade'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 Hiron Trade is operating at the current time. Most of Hiron Trade's value examination focuses on studying past and present price action to predict the probability of Hiron Trade's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hiron Trade's price. Additionally, you may evaluate how the addition of Hiron Trade to your portfolios can decrease your overall portfolio volatility.
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Hiron Trade 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.