Box Inc Stock Market Value
| BOX Stock | USD 26.67 0.20 0.76% |
| Symbol | Box |
Box Inc Price To Book Ratio
Is Box's industry 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 Box. If investors know Box 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 Box 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 4.493 | Earnings Share 0.67 | Revenue Per Share 7.196 | Quarterly Revenue Growth 0.025 | Return On Assets 0.0259 |
The market value of Box Inc is measured differently than its book value, which is the value of Box that is recorded on the company's balance sheet. Investors also form their own opinion of Box's value that differs from its market value or its book value, called intrinsic value, which is Box'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 Box's market value can be influenced by many factors that don't directly affect Box'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 Box's value and its price as these two are different measures arrived at by different means. Investors typically determine if Box is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Box'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.
Box '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 Box'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 Box.
| 01/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Box on January 21, 2024 and sell it all today you would earn a total of 0.00 from holding Box Inc or generate 0.0% return on investment in Box over 90 days. Box is related to or competes with Evertec, CSG Systems, Radware, and NetScout Systems. Box, Inc. provides a cloud content management platform that enables organizations of various sizes to manage and share t... More
Box 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 Box'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 Box Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.36 | |||
| Information Ratio | 0.0023 | |||
| Maximum Drawdown | 11.11 | |||
| Value At Risk | (2.49) | |||
| Potential Upside | 1.79 |
Box Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Box's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Box's standard deviation. In reality, there are many statistical measures that can use Box historical prices to predict the future Box's volatility.| Risk Adjusted Performance | 0.0376 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.003 | |||
| Treynor Ratio | 0.059 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Box'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.
Box Inc Backtested Returns
We consider Box very steady. Box Inc secures Sharpe Ratio (or Efficiency) of 0.0105, which signifies that the company had a 0.0105% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Box Inc, which you can use to evaluate the volatility of the firm. Please confirm Box's Downside Deviation of 1.36, mean deviation of 1.18, and Risk Adjusted Performance of 0.0376 to double-check if the risk estimate we provide is consistent with the expected return of 0.0184%. The firm shows a Beta (market volatility) of 1.35, which signifies 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, Box will likely underperform. Box Inc right now shows a risk of 1.76%. Please confirm Box Inc downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Box Inc will be following its price patterns.
Auto-correlation | -0.05 |
Very weak reverse predictability
Box Inc has very weak reverse predictability. Overlapping area represents the amount of predictability between Box time series from 21st of January 2024 to 6th of March 2024 and 6th of March 2024 to 20th 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 Box Inc price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Box price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 1.23 |
Box Inc lagged returns against current returns
Autocorrelation, which is Box 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 Box's stock expected returns. We can calculate the autocorrelation of Box returns to help us make a trade decision. For example, suppose you find that Box 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 |
Box 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 Box stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Box stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Box stock over time.
Current vs Lagged Prices |
| Timeline |
Box Lagged Returns
When evaluating Box's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Box stock have on its future price. Box 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, Box autocorrelation shows the relationship between Box stock current value and its past values and can show if there is a momentum factor associated with investing in Box Inc.
Regressed Prices |
| Timeline |
Pair Trading with Box
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 Box 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 Box will appreciate offsetting losses from the drop in the long position's value.Moving against Box Stock
| 0.53 | EVTC | Evertec Financial Report 24th of April 2024 | PairCorr |
| 0.51 | ZS | Zscaler Financial Report 6th of June 2024 | PairCorr |
| 0.43 | EVCM | EverCommerce Financial Report 14th of May 2024 | PairCorr |
The ability to find closely correlated positions to Box could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Box 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 Box - 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 Box Inc to buy it.
The correlation of Box 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 Box moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Box Inc 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 Box 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 Box Correlation, Box Volatility and Box Alpha and Beta module to complement your research on Box. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for Box Stock analysis
When running Box's price analysis, check to measure Box'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 Box is operating at the current time. Most of Box's value examination focuses on studying past and present price action to predict the probability of Box's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Box's price. Additionally, you may evaluate how the addition of Box to your portfolios can decrease your overall portfolio volatility.
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |
Box 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.