Onespan Stock Market Value
| OSPN Stock | USD 17.88 0.21 1.19% |
| Symbol | OneSpan |
OneSpan Price To Book Ratio
Is Systems Software 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 OneSpan. If investors know OneSpan 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 OneSpan 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 0.27 | Earnings Share 0.74 | Revenue Per Share 6.356 | Quarterly Revenue Growth (0.04) | Return On Assets 0.0972 |
The market value of OneSpan is measured differently than its book value, which is the value of OneSpan that is recorded on the company's balance sheet. Investors also form their own opinion of OneSpan's value that differs from its market value or its book value, called intrinsic value, which is OneSpan'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 OneSpan's market value can be influenced by many factors that don't directly affect OneSpan'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 OneSpan's value and its price as these two are different measures arrived at by different means. Investors typically determine if OneSpan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, OneSpan'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.
OneSpan '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 OneSpan'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 OneSpan.
| 09/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in OneSpan on September 25, 2024 and sell it all today you would earn a total of 0.00 from holding OneSpan or generate 0.0% return on investment in OneSpan over 60 days. OneSpan is related to or competes with Lesaka Technologies, Priority Technology, CSG Systems, Sangoma Technologies, NetScout Systems, Consensus Cloud, and Evertec. OneSpan Inc., together with its subsidiaries, designs, develops, and markets digital solutions for identity, security, a... More
OneSpan 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 OneSpan'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 OneSpan upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.27 | |||
| Information Ratio | 0.0349 | |||
| Maximum Drawdown | 18.14 | |||
| Value At Risk | (3.60) | |||
| Potential Upside | 3.99 |
OneSpan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OneSpan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OneSpan's standard deviation. In reality, there are many statistical measures that can use OneSpan historical prices to predict the future OneSpan's volatility.| Risk Adjusted Performance | 0.0693 | |||
| Jensen Alpha | 0.0806 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | 0.0436 | |||
| Treynor Ratio | 0.1907 |
OneSpan Backtested Returns
OneSpan appears to be not too volatile, given 3 months investment horizon. OneSpan maintains Sharpe Ratio (i.e., Efficiency) of 0.0732, which implies the firm had a 0.0732% return per unit of risk over the last 3 months. We have found thirty technical indicators for OneSpan, which you can use to evaluate the volatility of the company. Please evaluate OneSpan's Coefficient Of Variation of 1236.8, semi deviation of 2.19, and Risk Adjusted Performance of 0.0693 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, OneSpan holds a performance score of 5. The company holds a Beta of 1.15, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, OneSpan will likely underperform. Please check OneSpan's potential upside, and the relationship between the total risk alpha and kurtosis , to make a quick decision on whether OneSpan's historical price patterns will revert.
Auto-correlation | -0.68 |
Very good reverse predictability
OneSpan has very good reverse predictability. Overlapping area represents the amount of predictability between OneSpan time series from 25th of September 2024 to 25th of October 2024 and 25th of October 2024 to 24th of November 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 OneSpan price movement. The serial correlation of -0.68 indicates that around 68.0% of current OneSpan price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 1.14 |
OneSpan lagged returns against current returns
Autocorrelation, which is OneSpan 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 OneSpan's stock expected returns. We can calculate the autocorrelation of OneSpan returns to help us make a trade decision. For example, suppose you find that OneSpan 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 |
OneSpan 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 OneSpan stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OneSpan stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OneSpan stock over time.
Current vs Lagged Prices |
| Timeline |
OneSpan Lagged Returns
When evaluating OneSpan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OneSpan stock have on its future price. OneSpan 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, OneSpan autocorrelation shows the relationship between OneSpan stock current value and its past values and can show if there is a momentum factor associated with investing in OneSpan.
Regressed Prices |
| Timeline |
Pair Trading with OneSpan
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if OneSpan position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in OneSpan will appreciate offsetting losses from the drop in the long position's value.Moving against OneSpan Stock
| 0.64 | MQ | Marqeta | PairCorr |
| 0.64 | FAAS | DigiAsia Corp Symbol Change | PairCorr |
| 0.56 | VHAI | VHAI | PairCorr |
| 0.46 | VRNS | Varonis Systems Potential Growth | PairCorr |
| 0.31 | DOCN | DigitalOcean Holdings | PairCorr |
The ability to find closely correlated positions to OneSpan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace OneSpan when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back OneSpan - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling OneSpan to buy it.
The correlation of OneSpan is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as OneSpan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if OneSpan moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for OneSpan can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out OneSpan Correlation, OneSpan Volatility and OneSpan Alpha and Beta module to complement your research on OneSpan. To learn how to invest in OneSpan Stock, please use our How to Invest in OneSpan guide.You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
OneSpan 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.