Nova Stock Market Value
| NVMI Stock | USD 244.91 2.58 1.06% |
| Symbol | Nova |
Nova Price To Book Ratio
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Nova. If investors know Nova will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Nova listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.524 | Earnings Share 5.57 | Revenue Per Share | Quarterly Revenue Growth 0.389 | Return On Assets |
The market value of Nova is measured differently than its book value, which is the value of Nova that is recorded on the company's balance sheet. Investors also form their own opinion of Nova's value that differs from its market value or its book value, called intrinsic value, which is Nova's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Nova's market value can be influenced by many factors that don't directly affect Nova's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Nova's value and its price as these two are different measures arrived at by different means. Investors typically determine if Nova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nova's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Nova '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 Nova'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 Nova.
| 01/29/2023 |
| 01/18/2025 |
If you would invest 0.00 in Nova on January 29, 2023 and sell it all today you would earn a total of 0.00 from holding Nova or generate 0.0% return on investment in Nova over 720 days. Nova is related to or competes with InTest, Onto Innovation, Kulicke, Ichor Holdings, Entegris, Axcelis Technologies, and Veeco Instruments. Nova Ltd. designs, develops, produces, and sells process control systems used in the manufacture of semiconductors in Is... More
Nova 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 Nova'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 Nova upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.18 | |||
| Information Ratio | 0.0671 | |||
| Maximum Drawdown | 14.92 | |||
| Value At Risk | (6.09) | |||
| Potential Upside | 5.53 |
Nova Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nova's standard deviation. In reality, there are many statistical measures that can use Nova historical prices to predict the future Nova's volatility.| Risk Adjusted Performance | 0.0652 | |||
| Jensen Alpha | 0.2109 | |||
| Total Risk Alpha | 0.2256 | |||
| Sortino Ratio | 0.0678 | |||
| Treynor Ratio | (0.54) |
Nova Backtested Returns
Nova appears to be very steady, given 3 months investment horizon. Nova has Sharpe Ratio of 0.17, which conveys that the firm had a 0.17% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Nova, which you can use to evaluate the volatility of the firm. Please exercise Nova's Risk Adjusted Performance of 0.0652, downside deviation of 3.18, and Mean Deviation of 2.29 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Nova holds a performance score of 13. The company secures a Beta (Market Risk) of -0.39, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Nova are expected to decrease at a much lower rate. During the bear market, Nova is likely to outperform the market. Please check Nova's downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to make a quick decision on whether Nova's current price movements will revert.
Auto-correlation | 0.58 |
Modest predictability
Nova has modest predictability. Overlapping area represents the amount of predictability between Nova time series from 29th of January 2023 to 24th of January 2024 and 24th of January 2024 to 18th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Nova price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Nova price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 592.0 |
Nova lagged returns against current returns
Autocorrelation, which is Nova 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 Nova's stock expected returns. We can calculate the autocorrelation of Nova returns to help us make a trade decision. For example, suppose you find that Nova 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 |
Nova 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 Nova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nova stock over time.
Current vs Lagged Prices |
| Timeline |
Nova Lagged Returns
When evaluating Nova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nova stock have on its future price. Nova 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, Nova autocorrelation shows the relationship between Nova stock current value and its past values and can show if there is a momentum factor associated with investing in Nova.
Regressed Prices |
| Timeline |
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Check out Nova Correlation, Nova Volatility and Nova Alpha and Beta module to complement your research on Nova. For more detail on how to invest in Nova Stock please use our How to Invest in Nova guide.You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Nova 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.