Nice (Israel) Market Value
| NICE Stock | ILA 87,450 2,750 3.05% |
| Symbol | Nice |
Nice '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 Nice'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 Nice.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Nice on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding Nice or generate 0.0% return on investment in Nice over 720 days. Nice is related to or competes with Teva Pharmaceutical, Elbit Systems, Bezeq Israeli, and ICL Israel. The company operates in two segments, Customer Engagement, and Financial Crime and Compliance More
Nice 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 Nice'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 Nice upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.16 | |||
| Information Ratio | 0.0979 | |||
| Maximum Drawdown | 13.61 | |||
| Value At Risk | (3.90) | |||
| Potential Upside | 4.26 |
Nice Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nice's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nice's standard deviation. In reality, there are many statistical measures that can use Nice historical prices to predict the future Nice's volatility.| Risk Adjusted Performance | 0.085 | |||
| Jensen Alpha | 0.274 | |||
| Total Risk Alpha | 0.0861 | |||
| Sortino Ratio | 0.1094 | |||
| Treynor Ratio | 0.9834 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nice'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.
Nice Backtested Returns
Nice appears to be very steady, given 3 months investment horizon. Nice has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Nice, which you can use to evaluate the volatility of the firm. Please exercise Nice's Mean Deviation of 1.69, risk adjusted performance of 0.085, and Downside Deviation of 2.16 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Nice holds a performance score of 8. The company secures a Beta (Market Risk) of 0.29, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Nice's returns are expected to increase less than the market. However, during the bear market, the loss of holding Nice is expected to be smaller as well. Please check Nice's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether Nice's current price movements will revert.
Auto-correlation | 0.77 |
Good predictability
Nice has good predictability. Overlapping area represents the amount of predictability between Nice time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Nice price movement. The serial correlation of 0.77 indicates that around 77.0% of current Nice price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 59.7 M |
Nice lagged returns against current returns
Autocorrelation, which is Nice 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 Nice's stock expected returns. We can calculate the autocorrelation of Nice returns to help us make a trade decision. For example, suppose you find that Nice 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 |
Nice 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 Nice stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nice stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nice stock over time.
Current vs Lagged Prices |
| Timeline |
Nice Lagged Returns
When evaluating Nice's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nice stock have on its future price. Nice 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, Nice autocorrelation shows the relationship between Nice stock current value and its past values and can show if there is a momentum factor associated with investing in Nice.
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 Nice 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, Nice's short interest history, or implied volatility extrapolated from Nice options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Nice Correlation, Nice Volatility and Nice Alpha and Beta module to complement your research on Nice. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Complementary Tools for Nice Stock analysis
When running Nice's price analysis, check to measure Nice'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 Nice is operating at the current time. Most of Nice's value examination focuses on studying past and present price action to predict the probability of Nice's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nice's price. Additionally, you may evaluate how the addition of Nice to your portfolios can decrease your overall portfolio volatility.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |
Nice 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.