Si Bone Stock Market Value
| SIBN Stock | USD 12.65 0.09 0.72% |
| Symbol | SIBN |
Si Bone Price To Book Ratio
Is Health Care Equipment & Supplies 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 Si Bone. If investors know SIBN 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 Si Bone listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.91) | Revenue Per Share 3.817 | Quarterly Revenue Growth 0.186 | Return On Assets (0.12) | Return On Equity (0.22) |
The market value of Si Bone is measured differently than its book value, which is the value of SIBN that is recorded on the company's balance sheet. Investors also form their own opinion of Si Bone's value that differs from its market value or its book value, called intrinsic value, which is Si Bone'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 Si Bone's market value can be influenced by many factors that don't directly affect Si Bone'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 Si Bone's value and its price as these two are different measures arrived at by different means. Investors typically determine if Si Bone is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Si Bone'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.
Si Bone '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 Si Bone'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 Si Bone.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Si Bone on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Si Bone or generate 0.0% return on investment in Si Bone over 30 days. Si Bone is related to or competes with CONMED, Orthopediatrics Corp, Pulmonx Corp, Iradimed, Orthofix Medical, Neuropace, and Integer Holdings. SI-BONE, Inc., a medical device company, develops implantable devices used to solve musculoskeletal disorders of the sac... More
Si Bone 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 Si Bone'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 Si Bone upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 27.0 | |||
| Value At Risk | (4.54) | |||
| Potential Upside | 6.75 |
Si Bone Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Si Bone's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Si Bone's standard deviation. In reality, there are many statistical measures that can use Si Bone historical prices to predict the future Si Bone's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.83) | |||
| Treynor Ratio | (0.09) |
Si Bone Backtested Returns
Si Bone retains Efficiency (Sharpe Ratio) of -0.0762, which indicates the firm had a -0.0762% return per unit of price deviation over the last 3 months. Si Bone exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Si Bone's Mean Deviation of 3.0, risk adjusted performance of (0.02), and Standard Deviation of 4.13 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 2.1, which indicates 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, Si Bone will likely underperform. At this point, Si Bone has a negative expected return of -0.3%. Please make sure to validate Si Bone's potential upside, and the relationship between the jensen alpha and rate of daily change , to decide if Si Bone performance from the past will be repeated in the future.
Auto-correlation | -0.69 |
Very good reverse predictability
Si Bone has very good reverse predictability. Overlapping area represents the amount of predictability between Si Bone time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Si Bone price movement. The serial correlation of -0.69 indicates that around 69.0% of current Si Bone price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 1.64 |
Si Bone lagged returns against current returns
Autocorrelation, which is Si Bone 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 Si Bone's stock expected returns. We can calculate the autocorrelation of Si Bone returns to help us make a trade decision. For example, suppose you find that Si Bone 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 |
Si Bone 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 Si Bone stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Si Bone stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Si Bone stock over time.
Current vs Lagged Prices |
| Timeline |
Si Bone Lagged Returns
When evaluating Si Bone's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Si Bone stock have on its future price. Si Bone 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, Si Bone autocorrelation shows the relationship between Si Bone stock current value and its past values and can show if there is a momentum factor associated with investing in Si Bone.
Regressed Prices |
| Timeline |
Pair Trading with Si Bone
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 Si Bone 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 Si Bone will appreciate offsetting losses from the drop in the long position's value.Moving against SIBN Stock
The ability to find closely correlated positions to Si Bone could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Si Bone 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 Si Bone - 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 Si Bone to buy it.
The correlation of Si Bone 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 Si Bone moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Si Bone 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 Si Bone 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 Si Bone Correlation, Si Bone Volatility and Si Bone Alpha and Beta module to complement your research on Si Bone. To learn how to invest in SIBN Stock, please use our How to Invest in Si Bone guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Si Bone 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.