Columbia Sportswear (Germany) Market Value
| CUW Stock | EUR 77.00 1.50 1.99% |
| Symbol | Columbia |
Columbia Sportswear '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 Columbia Sportswear'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 Columbia Sportswear.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Columbia Sportswear on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Sportswear or generate 0.0% return on investment in Columbia Sportswear over 30 days. Columbia Sportswear is related to or competes with H+M HEN+MAUUNSPADR, H M, H M, Moncler SpA, Ralph Lauren, Levi Strauss, and Bosideng International. Columbia Sportswear Company, together with its subsidiaries, designs, sources, markets, and distributes outdoor and acti... More
Columbia Sportswear 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 Columbia Sportswear'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 Columbia Sportswear upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.76 | |||
| Information Ratio | 0.0069 | |||
| Maximum Drawdown | 7.66 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 2.05 |
Columbia Sportswear Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Sportswear's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Sportswear's standard deviation. In reality, there are many statistical measures that can use Columbia Sportswear historical prices to predict the future Columbia Sportswear's volatility.| Risk Adjusted Performance | 0.0616 | |||
| Jensen Alpha | 0.1214 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0065 | |||
| Treynor Ratio | (1.05) |
Columbia Sportswear Backtested Returns
At this point, Columbia Sportswear is very steady. Columbia Sportswear secures Sharpe Ratio (or Efficiency) of 0.0423, which signifies that the company had a 0.0423% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Sportswear, which you can use to evaluate the volatility of the firm. Please confirm Columbia Sportswear's Risk Adjusted Performance of 0.0616, downside deviation of 1.76, and Mean Deviation of 1.2 to double-check if the risk estimate we provide is consistent with the expected return of 0.0703%. Columbia Sportswear has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Columbia Sportswear are expected to decrease at a much lower rate. During the bear market, Columbia Sportswear is likely to outperform the market. Columbia Sportswear right now shows a risk of 1.66%. Please confirm Columbia Sportswear treynor ratio, downside variance, and the relationship between the total risk alpha and value at risk , to decide if Columbia Sportswear will be following its price patterns.
Auto-correlation | -0.7 |
Very good reverse predictability
Columbia Sportswear has very good reverse predictability. Overlapping area represents the amount of predictability between Columbia Sportswear time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Columbia Sportswear price movement. The serial correlation of -0.7 indicates that around 70.0% of current Columbia Sportswear price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 1.09 |
Columbia Sportswear lagged returns against current returns
Autocorrelation, which is Columbia Sportswear 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 Columbia Sportswear's stock expected returns. We can calculate the autocorrelation of Columbia Sportswear returns to help us make a trade decision. For example, suppose you find that Columbia Sportswear 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 |
Columbia Sportswear 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 Columbia Sportswear stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Sportswear stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Sportswear stock over time.
Current vs Lagged Prices |
| Timeline |
Columbia Sportswear Lagged Returns
When evaluating Columbia Sportswear's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Sportswear stock have on its future price. Columbia Sportswear 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, Columbia Sportswear autocorrelation shows the relationship between Columbia Sportswear stock current value and its past values and can show if there is a momentum factor associated with investing in Columbia Sportswear.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Columbia Stock
When determining whether Columbia Sportswear is a strong investment it is important to analyze Columbia Sportswear'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 Columbia Sportswear's future performance. For an informed investment choice regarding Columbia Stock, refer to the following important reports:Check out Columbia Sportswear Correlation, Columbia Sportswear Volatility and Columbia Sportswear Alpha and Beta module to complement your research on Columbia Sportswear. For more detail on how to invest in Columbia Stock please use our How to Invest in Columbia Sportswear guide.You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Columbia Sportswear 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.