Oxford Industries Stock Market Value
| OXM Stock | USD 77.80 1.55 2.03% |
| Symbol | Oxford |
Oxford Industries Price To Book Ratio
Is Apparel, Accessories & Luxury Goods 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 Oxford Industries. If investors know Oxford 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 Oxford Industries 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 (0.20) | Dividend Share 2.64 | Earnings Share 1.89 | Revenue Per Share 99.24 | Quarterly Revenue Growth (0) |
The market value of Oxford Industries is measured differently than its book value, which is the value of Oxford that is recorded on the company's balance sheet. Investors also form their own opinion of Oxford Industries' value that differs from its market value or its book value, called intrinsic value, which is Oxford Industries' 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 Oxford Industries' market value can be influenced by many factors that don't directly affect Oxford Industries' 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 Oxford Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Industries' 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.
Oxford Industries '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 Oxford Industries' 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 Oxford Industries.
| 02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in Oxford Industries on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding Oxford Industries or generate 0.0% return on investment in Oxford Industries over 270 days. Oxford Industries is related to or competes with G III, Ermenegildo Zegna, Kontoor Brands, Columbia Sportswear, Vince Holding, Gildan Activewear, and PVH Corp. Oxford Industries, Inc., an apparel company, designs, sources, markets, and distributes products of lifestyle and other ... More
Oxford Industries 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 Oxford Industries' 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 Oxford Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 8.17 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 2.91 |
Oxford Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oxford Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oxford Industries' standard deviation. In reality, there are many statistical measures that can use Oxford Industries historical prices to predict the future Oxford Industries' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oxford Industries' 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.
Oxford Industries Backtested Returns
Oxford Industries maintains Sharpe Ratio (i.e., Efficiency) of -0.0483, which implies the firm had a -0.0483% return per unit of risk over the last 3 months. Oxford Industries exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oxford Industries' Coefficient Of Variation of (1,443), risk adjusted performance of (0.05), and Variance of 3.31 to confirm the risk estimate we provide. The company holds a Beta of 1.28, which implies 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, Oxford Industries will likely underperform. At this point, Oxford Industries has a negative expected return of -0.0864%. Please make sure to check Oxford Industries' value at risk, as well as the relationship between the rate of daily change and relative strength index , to decide if Oxford Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.21 |
Weak predictability
Oxford Industries has weak predictability. Overlapping area represents the amount of predictability between Oxford Industries time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 Oxford Industries price movement. The serial correlation of 0.21 indicates that over 21.0% of current Oxford Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 76.04 |
Oxford Industries lagged returns against current returns
Autocorrelation, which is Oxford Industries 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 Oxford Industries' stock expected returns. We can calculate the autocorrelation of Oxford Industries returns to help us make a trade decision. For example, suppose you find that Oxford Industries 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 |
Oxford Industries 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 Oxford Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oxford Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oxford Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Oxford Industries Lagged Returns
When evaluating Oxford Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oxford Industries stock have on its future price. Oxford Industries 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, Oxford Industries autocorrelation shows the relationship between Oxford Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Oxford Industries.
Regressed Prices |
| Timeline |
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Oxford Industries 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.