Container Store Group Stock Market Value
| TCS Stock | USD 0.84 0.04 4.55% |
| Symbol | Container |
Is Container Store'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 Container Store. If investors know Container 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 Container Store listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Container Store Group is measured differently than its book value, which is the value of Container that is recorded on the company's balance sheet. Investors also form their own opinion of Container Store's value that differs from its market value or its book value, called intrinsic value, which is Container Store'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 Container Store's market value can be influenced by many factors that don't directly affect Container Store'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 Container Store's value and its price as these two are different measures arrived at by different means. Investors typically determine if Container Store is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Container Store'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.
Container Store '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 Container Store'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 Container Store.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Container Store on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Container Store Group or generate 0.0% return on investment in Container Store over 30 days. Container Store is related to or competes with Tillys, Big 5, Sportsmans, Hibbett Sports, and Noodles. The Container Store Group, Inc. operates as a retailer of storage and organization products and solutions in the United ... More
Container Store 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 Container Store'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 Container Store Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 47.01 | |||
| Value At Risk | (6.92) | |||
| Potential Upside | 5.47 |
Container Store Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Container Store's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Container Store's standard deviation. In reality, there are many statistical measures that can use Container Store historical prices to predict the future Container Store's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | (1.27) | |||
| Treynor Ratio | (3.41) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Container Store'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.
Container Store Group Backtested Returns
Container Store Group secures Sharpe Ratio (or Efficiency) of -0.0977, which signifies that the company had a -0.0977% return per unit of risk over the last 3 months. Container Store Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Container Store's Standard Deviation of 7.24, risk adjusted performance of (0.05), and Mean Deviation of 4.03 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.21, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Container Store's returns are expected to increase less than the market. However, during the bear market, the loss of holding Container Store is expected to be smaller as well. Container Store Group has an expected return of -0.71%. Please make sure to confirm Container Store Group treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Container Store Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.70 |
Good predictability
Container Store Group has good predictability. Overlapping area represents the amount of predictability between Container Store time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Container Store Group price movement. The serial correlation of 0.7 indicates that around 70.0% of current Container Store price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Container Store Group lagged returns against current returns
Autocorrelation, which is Container Store 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 Container Store's stock expected returns. We can calculate the autocorrelation of Container Store returns to help us make a trade decision. For example, suppose you find that Container Store 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 |
Container Store 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 Container Store stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Container Store stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Container Store stock over time.
Current vs Lagged Prices |
| Timeline |
Container Store Lagged Returns
When evaluating Container Store's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Container Store stock have on its future price. Container Store 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, Container Store autocorrelation shows the relationship between Container Store stock current value and its past values and can show if there is a momentum factor associated with investing in Container Store Group.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Container Store in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Container Store's short interest history, or implied volatility extrapolated from Container Store options trading.
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When determining whether Container Store Group is a strong investment it is important to analyze Container Store's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Container Store's future performance. For an informed investment choice regarding Container Stock, refer to the following important reports:Check out Container Store Correlation, Container Store Volatility and Container Store Alpha and Beta module to complement your research on Container Store. Note that the Container Store Group information on this page should be used as a complementary analysis to other Container Store's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Complementary Tools for Container Stock analysis
When running Container Store's price analysis, check to measure Container Store'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 Container Store is operating at the current time. Most of Container Store's value examination focuses on studying past and present price action to predict the probability of Container Store's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Container Store's price. Additionally, you may evaluate how the addition of Container Store to your portfolios can decrease your overall portfolio volatility.
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Container Store 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.