Klil Industries (Israel) Market Value
| KLIL Stock | ILA 18,380 320.00 1.77% |
| Symbol | Klil |
Klil Industries '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 Klil Industries' 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 Klil Industries.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Klil Industries on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Klil Industries or generate 0.0% return on investment in Klil Industries over 30 days. Klil Industries is related to or competes with Alony Hetz, Melisron, Shufersal, Israel Discount, and First International. Klil Industries Ltd designs, develops, manufactures, paints, finishes, and markets aluminum systems for the construction... More
Klil Industries 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 Klil Industries' 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 Klil Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 9.47 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 3.44 |
Klil Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Klil Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Klil Industries' standard deviation. In reality, there are many statistical measures that can use Klil Industries historical prices to predict the future Klil Industries' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.43) | |||
| Treynor Ratio | (0.83) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Klil Industries' 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.
Klil Industries Backtested Returns
Klil Industries has Sharpe Ratio of -0.0133, which conveys that the firm had a -0.0133% return per unit of risk over the last 3 months. Klil Industries exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Klil Industries' Standard Deviation of 1.94, risk adjusted performance of (0.04), and Mean Deviation of 1.46 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Klil Industries' returns are expected to increase less than the market. However, during the bear market, the loss of holding Klil Industries is expected to be smaller as well. Klil Industries has an expected return of -0.0283%. Please make sure to verify Klil Industries jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Klil Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.70 |
Good predictability
Klil Industries has good predictability. Overlapping area represents the amount of predictability between Klil Industries 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 Klil Industries price movement. The serial correlation of 0.7 indicates that around 70.0% of current Klil Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 189.7 K |
Klil Industries lagged returns against current returns
Autocorrelation, which is Klil Industries 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 Klil Industries' stock expected returns. We can calculate the autocorrelation of Klil Industries returns to help us make a trade decision. For example, suppose you find that Klil Industries 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 |
Klil Industries 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 Klil Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Klil Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Klil Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Klil Industries Lagged Returns
When evaluating Klil Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Klil Industries stock have on its future price. Klil Industries 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, Klil Industries autocorrelation shows the relationship between Klil Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Klil Industries.
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 Klil Industries 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, Klil Industries' short interest history, or implied volatility extrapolated from Klil Industries options trading.
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Complementary Tools for Klil Stock analysis
When running Klil Industries' price analysis, check to measure Klil Industries' 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 Klil Industries is operating at the current time. Most of Klil Industries' value examination focuses on studying past and present price action to predict the probability of Klil Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Klil Industries' price. Additionally, you may evaluate how the addition of Klil Industries to your portfolios can decrease your overall portfolio volatility.
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Klil Industries 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.