Spuntech (Israel) Market Value
| SPNTC Stock | ILS 484.40 4.70 0.98% |
| Symbol | Spuntech |
Spuntech '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 Spuntech'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 Spuntech.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Spuntech on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Spuntech or generate 0.0% return on investment in Spuntech over 30 days. Spuntech is related to or competes with Aryt Industries, Scope Metals, and Delek Automotive. Spuntech Industries Ltd. develops, manufactures, and supplies spunlace hydroentangled fabrics More
Spuntech 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 Spuntech'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 Spuntech upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.45 | |||
| Information Ratio | 0.1122 | |||
| Maximum Drawdown | 19.18 | |||
| Value At Risk | (3.35) | |||
| Potential Upside | 4.66 |
Spuntech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spuntech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spuntech's standard deviation. In reality, there are many statistical measures that can use Spuntech historical prices to predict the future Spuntech's volatility.| Risk Adjusted Performance | 0.0958 | |||
| Jensen Alpha | 0.397 | |||
| Total Risk Alpha | 0.0311 | |||
| Sortino Ratio | 0.1335 | |||
| Treynor Ratio | 3.42 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spuntech'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.
Spuntech Backtested Returns
We consider Spuntech very steady. Spuntech owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0535, which indicates the firm had a 0.0535% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Spuntech, which you can use to evaluate the volatility of the company. Please validate Spuntech's Risk Adjusted Performance of 0.0958, coefficient of variation of 700.3, and Semi Deviation of 1.9 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Spuntech has a performance score of 4 on a scale of 0 to 100. The entity has a beta of 0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Spuntech's returns are expected to increase less than the market. However, during the bear market, the loss of holding Spuntech is expected to be smaller as well. Spuntech right now has a risk of 2.51%. Please validate Spuntech skewness, and the relationship between the potential upside and rate of daily change , to decide if Spuntech will be following its existing price patterns.
Auto-correlation | 0.40 |
Average predictability
Spuntech has average predictability. Overlapping area represents the amount of predictability between Spuntech time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Spuntech price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Spuntech price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 150.73 |
Spuntech lagged returns against current returns
Autocorrelation, which is Spuntech 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 Spuntech's stock expected returns. We can calculate the autocorrelation of Spuntech returns to help us make a trade decision. For example, suppose you find that Spuntech 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 |
Spuntech 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 Spuntech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spuntech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spuntech stock over time.
Current vs Lagged Prices |
| Timeline |
Spuntech Lagged Returns
When evaluating Spuntech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spuntech stock have on its future price. Spuntech 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, Spuntech autocorrelation shows the relationship between Spuntech stock current value and its past values and can show if there is a momentum factor associated with investing in Spuntech.
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 Spuntech 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, Spuntech's short interest history, or implied volatility extrapolated from Spuntech options trading.
Currently Active Assets on Macroaxis
Check out Spuntech Correlation, Spuntech Volatility and Spuntech Alpha and Beta module to complement your research on Spuntech. Note that the Spuntech information on this page should be used as a complementary analysis to other Spuntech's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for Spuntech Stock analysis
When running Spuntech's price analysis, check to measure Spuntech'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 Spuntech is operating at the current time. Most of Spuntech's value examination focuses on studying past and present price action to predict the probability of Spuntech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spuntech's price. Additionally, you may evaluate how the addition of Spuntech to your portfolios can decrease your overall portfolio volatility.
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Spuntech 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.