Cato Corporation Stock Price Prediction
| CATO Stock | USD 3.63 1.33 26.81% |
Oversold Vs Overbought
54
Oversold | Overbought |
Quarterly Earnings Growth (0.90) | Wall Street Target Price 23 | Quarterly Revenue Growth (0.08) |
Using Cato hype-based prediction, you can estimate the value of Cato Corporation from the perspective of Cato response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Cato to buy its stock at a price that has no basis in reality. In that case, they are not buying Cato because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Cato after-hype prediction price | USD 3.7 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Cato |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cato'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.
Cato After-Hype Price Prediction Density Analysis
As far as predicting the price of Cato at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Cato or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Cato, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Cato Estimiated After-Hype Price Volatility
In the context of predicting Cato's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Cato's historical news coverage. Cato's after-hype downside and upside margins for the prediction period are 0.19 and 8.88, respectively. We have considered Cato's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Cato is slightly risky at this time. Analysis and calculation of next after-hype price of Cato is based on 3 months time horizon.
Cato Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Cato is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Cato backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Cato, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.23 | 5.22 | 0.07 | 0.03 | 4 Events / Month | 8 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.63 | 3.70 | 1.93 |
|
Cato Hype Timeline
Cato is currently traded for 3.63. The entity has historical hype elasticity of 0.07, and average elasticity to hype of competition of -0.03. Cato is anticipated to increase in value after the next headline, with the price projected to jump to 3.7 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 1.93%, whereas the daily expected return is currently at -0.23%. The volatility of related hype on Cato is about 3838.24%, with the expected price after the next announcement by competition of 3.60. The company reported the previous year's revenue of 708.06 M. Net Loss for the year was (22.59 M) with profit before overhead, payroll, taxes, and interest of 314.77 M. Given the investment horizon of 90 days the next anticipated press release will be in about 4 days. Check out Cato Basic Forecasting Models to cross-verify your projections.Cato Related Hype Analysis
Having access to credible news sources related to Cato's direct competition is more important than ever and may enhance your ability to predict Cato's future price movements. Getting to know how Cato's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Cato may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SCVL | Shoe Carnival | (0.69) | 11 per month | 0.00 | (0.15) | 5.16 | (5.85) | 16.24 | |
| HIBB | Hibbett Sports | (0.27) | 7 per month | 0.00 | 0.09 | 0.56 | (0.24) | 19.75 | |
| GCO | Genesco | (0.86) | 10 per month | 3.37 | 0.01 | 6.90 | (4.32) | 17.20 | |
| ZUMZ | Zumiez Inc | 1.29 | 11 per month | 0.00 | (0.12) | 5.33 | (5.10) | 17.19 | |
| TLYS | Tillys Inc | (0.01) | 9 per month | 0.00 | (0.10) | 8.31 | (5.92) | 23.55 | |
| DXLG | Destination XL Group | (0.04) | 7 per month | 0.00 | (0.11) | 4.73 | (5.80) | 14.71 | |
| DLTH | Duluth Holdings | (0.07) | 5 per month | 2.62 | 0.06 | 5.73 | (4.24) | 24.31 | |
| JILL | JJill Inc | (0.97) | 10 per month | 0.00 | (0.14) | 3.47 | (3.51) | 19.27 | |
| CTRN | Citi Trends | 0.01 | 9 per month | 2.58 | 0.08 | 5.28 | (4.32) | 17.32 | |
| LE | Lands End | 0.25 | 12 per month | 3.48 | (0.01) | 5.83 | (6.89) | 17.18 |
Cato Additional Predictive Modules
Most predictive techniques to examine Cato price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Cato using various technical indicators. When you analyze Cato charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Cato Predictive Indicators
The successful prediction of Cato stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Cato Corporation, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Cato based on analysis of Cato hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Cato's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Cato's related companies. | 2011 | 2014 | 2020 | 2024 (projected) | Dividend Yield | 0.007277 | 0.0856 | 0.1 | 0.029 | Price To Sales Ratio | 0.87 | 0.46 | 0.19 | 1.19 |
Story Coverage note for Cato
The number of cover stories for Cato depends on current market conditions and Cato's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Cato is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Cato's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Cato Short Properties
Cato's future price predictability will typically decrease when Cato's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Cato Corporation often depends not only on the future outlook of the potential Cato's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Cato's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 19.4 M | |
| Cash And Short Term Investments | 103 M |
Check out Cato Basic Forecasting Models to cross-verify your projections. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Is 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 Cato. If investors know Cato 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 Cato 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 (0.90) | Dividend Share 0.68 | Earnings Share (0.89) | Revenue Per Share 35.031 | Quarterly Revenue Growth (0.08) |
The market value of Cato is measured differently than its book value, which is the value of Cato that is recorded on the company's balance sheet. Investors also form their own opinion of Cato's value that differs from its market value or its book value, called intrinsic value, which is Cato'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 Cato's market value can be influenced by many factors that don't directly affect Cato'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 Cato's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cato is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cato'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.