Snap On Stock Market Value
| SNA Stock | USD 348.50 2.90 0.84% |
| Symbol | Snap |
Snap On Price To Book Ratio
Is Industrial Machinery & Supplies & Components 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 Snap On. If investors know Snap 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 Snap On 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 0.042 | Dividend Share 7.44 | Earnings Share 19.62 | Revenue Per Share | Quarterly Revenue Growth (0.01) |
The market value of Snap On is measured differently than its book value, which is the value of Snap that is recorded on the company's balance sheet. Investors also form their own opinion of Snap On's value that differs from its market value or its book value, called intrinsic value, which is Snap On'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 Snap On's market value can be influenced by many factors that don't directly affect Snap On'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 Snap On's value and its price as these two are different measures arrived at by different means. Investors typically determine if Snap On is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Snap On'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.
Snap On '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 Snap On'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 Snap On.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Snap On on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Snap On or generate 0.0% return on investment in Snap On over 30 days. Snap On is related to or competes with Lincoln Electric, Timken, Kennametal, Toro, Techtronic Industries, RBC Bearings, and Eastern. Snap-on Incorporated manufactures and markets tools, equipment, diagnostics, and repair information and systems solution... More
Snap On 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 Snap On'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 Snap On upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8807 | |||
| Information Ratio | 0.1421 | |||
| Maximum Drawdown | 12.99 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.84 |
Snap On Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Snap On's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snap On's standard deviation. In reality, there are many statistical measures that can use Snap On historical prices to predict the future Snap On's volatility.| Risk Adjusted Performance | 0.1386 | |||
| Jensen Alpha | 0.2473 | |||
| Total Risk Alpha | 0.2176 | |||
| Sortino Ratio | 0.2693 | |||
| Treynor Ratio | 0.524 |
Snap On Backtested Returns
At this point, Snap On is very steady. Snap On owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Snap On, which you can use to evaluate the volatility of the company. Please validate Snap On's Semi Deviation of 0.5605, coefficient of variation of 625.59, and Risk Adjusted Performance of 0.1386 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Snap On has a performance score of 8 on a scale of 0 to 100. The entity has a beta of 0.49, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Snap On's returns are expected to increase less than the market. However, during the bear market, the loss of holding Snap On is expected to be smaller as well. Snap On right now has a risk of 1.19%. Please validate Snap On downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to decide if Snap On will be following its existing price patterns.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
Snap On has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Snap On time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 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 Snap On price movement. The serial correlation of -0.79 indicates that around 79.0% of current Snap On price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 26.92 |
Snap On lagged returns against current returns
Autocorrelation, which is Snap On 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 Snap On's stock expected returns. We can calculate the autocorrelation of Snap On returns to help us make a trade decision. For example, suppose you find that Snap On 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 |
Snap On 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 Snap On stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Snap On stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Snap On stock over time.
Current vs Lagged Prices |
| Timeline |
Snap On Lagged Returns
When evaluating Snap On's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Snap On stock have on its future price. Snap On 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, Snap On autocorrelation shows the relationship between Snap On stock current value and its past values and can show if there is a momentum factor associated with investing in Snap On.
Regressed Prices |
| Timeline |
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Check out Snap On Correlation, Snap On Volatility and Snap On Alpha and Beta module to complement your research on Snap On. For information on how to trade Snap Stock refer to our How to Trade Snap Stock guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Snap On 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.