Citi Trends Stock Market Value
| CTRN Stock | USD 26.39 0.22 0.83% |
| Symbol | Citi |
Citi Trends Price To Book Ratio
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 Citi Trends. If investors know Citi 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 Citi Trends 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 (0.48) | Earnings Share (3.06) | Revenue Per Share | Quarterly Revenue Growth 0.017 | Return On Assets |
The market value of Citi Trends is measured differently than its book value, which is the value of Citi that is recorded on the company's balance sheet. Investors also form their own opinion of Citi Trends' value that differs from its market value or its book value, called intrinsic value, which is Citi Trends' 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 Citi Trends' market value can be influenced by many factors that don't directly affect Citi Trends' 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 Citi Trends' value and its price as these two are different measures arrived at by different means. Investors typically determine if Citi Trends is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Citi Trends' 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.
Citi Trends '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 Citi Trends' 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 Citi Trends.
| 12/31/2024 |
| 01/30/2025 |
If you would invest 0.00 in Citi Trends on December 31, 2024 and sell it all today you would earn a total of 0.00 from holding Citi Trends or generate 0.0% return on investment in Citi Trends over 30 days. Citi Trends is related to or competes with JJill, Zumiez, Tillys, Duluth Holdings, Genesco, Buckle, and Shoe Carnival. Citi Trends, Inc. operates as a value retailer of fashion apparel, accessories, and home goods More
Citi Trends 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 Citi Trends' 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 Citi Trends upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.89 | |||
| Information Ratio | 0.1317 | |||
| Maximum Drawdown | 21.3 | |||
| Value At Risk | (3.30) | |||
| Potential Upside | 5.76 |
Citi Trends Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Citi Trends' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Citi Trends' standard deviation. In reality, there are many statistical measures that can use Citi Trends historical prices to predict the future Citi Trends' volatility.| Risk Adjusted Performance | 0.1389 | |||
| Jensen Alpha | 0.4802 | |||
| Total Risk Alpha | 0.2199 | |||
| Sortino Ratio | 0.156 | |||
| Treynor Ratio | 0.8741 |
Citi Trends Backtested Returns
Citi Trends appears to be not too volatile, given 3 months investment horizon. Citi Trends secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18 % return per unit of risk over the last 3 months. By analyzing Citi Trends' technical indicators, you can evaluate if the expected return of 0.63% is justified by implied risk. Please makes use of Citi Trends' Mean Deviation of 2.21, downside deviation of 2.89, and Risk Adjusted Performance of 0.1389 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Citi Trends holds a performance score of 14. The firm shows a Beta (market volatility) of 0.6, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Citi Trends' returns are expected to increase less than the market. However, during the bear market, the loss of holding Citi Trends is expected to be smaller as well. Please check Citi Trends' value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether Citi Trends' price patterns will revert.
Auto-correlation | 0.04 |
Virtually no predictability
Citi Trends has virtually no predictability. Overlapping area represents the amount of predictability between Citi Trends time series from 31st of December 2024 to 15th of January 2025 and 15th of January 2025 to 30th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Citi Trends price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Citi Trends price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Citi Trends lagged returns against current returns
Autocorrelation, which is Citi Trends 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 Citi Trends' stock expected returns. We can calculate the autocorrelation of Citi Trends returns to help us make a trade decision. For example, suppose you find that Citi Trends 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 |
Citi Trends 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 Citi Trends stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Citi Trends stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Citi Trends stock over time.
Current vs Lagged Prices |
| Timeline |
Citi Trends Lagged Returns
When evaluating Citi Trends' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Citi Trends stock have on its future price. Citi Trends 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, Citi Trends autocorrelation shows the relationship between Citi Trends stock current value and its past values and can show if there is a momentum factor associated with investing in Citi Trends.
Regressed Prices |
| Timeline |
Pair Trading with Citi Trends
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 Citi Trends 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 Citi Trends will appreciate offsetting losses from the drop in the long position's value.Moving together with Citi Stock
Moving against Citi Stock
| 0.82 | LE | Lands End | PairCorr |
| 0.82 | DLTH | Duluth Holdings | PairCorr |
| 0.82 | EDUC | Educational Development | PairCorr |
| 0.78 | FL | Foot Locker | PairCorr |
| 0.76 | DIBS | 1StdibsCom | PairCorr |
The ability to find closely correlated positions to Citi Trends could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Citi Trends 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 Citi Trends - 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 Citi Trends to buy it.
The correlation of Citi Trends 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 Citi Trends moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Citi Trends 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 Citi Trends 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 Citi Trends Correlation, Citi Trends Volatility and Citi Trends Alpha and Beta module to complement your research on Citi Trends. To learn how to invest in Citi Stock, please use our How to Invest in Citi Trends guide.You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Citi Trends 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.