Leslies Stock Market Value
| LESL Stock | USD 2.48 0.03 1.22% |
| Symbol | Leslies |
Leslies Price To Book Ratio
Is Other Specialty Retail 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 Leslies. If investors know Leslies 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 Leslies 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 (0.16) | Earnings Share (0.13) | Revenue Per Share 7.396 | Quarterly Revenue Growth (0.07) | Return On Assets 0.0421 |
The market value of Leslies is measured differently than its book value, which is the value of Leslies that is recorded on the company's balance sheet. Investors also form their own opinion of Leslies' value that differs from its market value or its book value, called intrinsic value, which is Leslies' 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 Leslies' market value can be influenced by many factors that don't directly affect Leslies' 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 Leslies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Leslies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Leslies' 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.
Leslies '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 Leslies' 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 Leslies.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Leslies on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Leslies or generate 0.0% return on investment in Leslies over 30 days. Leslies is related to or competes with Sally Beauty, ODP Corp, 1 800, Caseys General, National Vision, Sportsmans, and Big 5. Leslies, Inc. operates as a direct-to-consumer pool and spa care brand in the United States More
Leslies 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 Leslies' 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 Leslies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 32.83 | |||
| Value At Risk | (9.12) | |||
| Potential Upside | 10.03 |
Leslies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Leslies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Leslies' standard deviation. In reality, there are many statistical measures that can use Leslies historical prices to predict the future Leslies' volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (1.17) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Leslies' 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.
Leslies Backtested Returns
Leslies has Sharpe Ratio of -0.019, which conveys that the firm had a -0.019% return per unit of risk over the last 3 months. Leslies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Leslies' insignificant Risk Adjusted Performance, standard deviation of 6.67, and Mean Deviation of 4.43 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.39, which conveys 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, Leslies will likely underperform. At this point, Leslies has a negative expected return of -0.11%. Please make sure to verify Leslies' maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Leslies performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.01 |
Very weak reverse predictability
Leslies has very weak reverse predictability. Overlapping area represents the amount of predictability between Leslies time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Leslies price movement. The serial correlation of -0.01 indicates that just 1.0% of current Leslies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Leslies lagged returns against current returns
Autocorrelation, which is Leslies 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 Leslies' stock expected returns. We can calculate the autocorrelation of Leslies returns to help us make a trade decision. For example, suppose you find that Leslies 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 |
Leslies 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 Leslies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Leslies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Leslies stock over time.
Current vs Lagged Prices |
| Timeline |
Leslies Lagged Returns
When evaluating Leslies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Leslies stock have on its future price. Leslies 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, Leslies autocorrelation shows the relationship between Leslies stock current value and its past values and can show if there is a momentum factor associated with investing in Leslies.
Regressed Prices |
| Timeline |
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Leslies 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.