Columbus (Denmark) Market Value
| COLUM Stock | DKK 10.60 0.05 0.47% |
| Symbol | Columbus |
Columbus '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 Columbus' 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 Columbus.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Columbus on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Columbus AS or generate 0.0% return on investment in Columbus over 30 days. Columbus is related to or competes with RTX AS, Nnit AS, CBrain AS, NKT AS, and Matas AS. Columbus AS develops and sells industry-specific software for the retail, food, and manufacturing industries worldwide More
Columbus 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 Columbus' 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 Columbus AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.62 | |||
| Information Ratio | 0.0805 | |||
| Maximum Drawdown | 13.9 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 3.7 |
Columbus Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbus' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbus' standard deviation. In reality, there are many statistical measures that can use Columbus historical prices to predict the future Columbus' volatility.| Risk Adjusted Performance | 0.1084 | |||
| Jensen Alpha | 0.2309 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.1019 | |||
| Treynor Ratio | 0.777 |
Columbus AS Backtested Returns
Columbus appears to be not too volatile, given 3 months investment horizon. Columbus AS secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Columbus AS, which you can use to evaluate the volatility of the firm. Please makes use of Columbus' Mean Deviation of 1.36, downside deviation of 1.62, and Risk Adjusted Performance of 0.1084 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Columbus holds a performance score of 11. The firm shows a Beta (market volatility) of 0.34, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Columbus' returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbus is expected to be smaller as well. Please check Columbus' downside variance, and the relationship between the sortino ratio and accumulation distribution , to make a quick decision on whether Columbus' price patterns will revert.
Auto-correlation | -0.9 |
Excellent reverse predictability
Columbus AS has excellent reverse predictability. Overlapping area represents the amount of predictability between Columbus 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 Columbus AS price movement. The serial correlation of -0.9 indicates that approximately 90.0% of current Columbus price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.9 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Columbus AS lagged returns against current returns
Autocorrelation, which is Columbus 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 Columbus' stock expected returns. We can calculate the autocorrelation of Columbus returns to help us make a trade decision. For example, suppose you find that Columbus 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 |
Columbus 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 Columbus stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbus stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbus stock over time.
Current vs Lagged Prices |
| Timeline |
Columbus Lagged Returns
When evaluating Columbus' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbus stock have on its future price. Columbus 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, Columbus autocorrelation shows the relationship between Columbus stock current value and its past values and can show if there is a momentum factor associated with investing in Columbus AS.
Regressed Prices |
| Timeline |
Pair Trading with Columbus
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 Columbus 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 Columbus will appreciate offsetting losses from the drop in the long position's value.Moving against Columbus Stock
| 0.89 | GMAB | Genmab AS | PairCorr |
| 0.79 | STENO | Stenocare AS | PairCorr |
| 0.66 | SHAPE | Shape Robotics AS | PairCorr |
| 0.5 | MDUNDO | Mdundo Com As | PairCorr |
| 0.44 | NORTHM | North Media AS | PairCorr |
The ability to find closely correlated positions to Columbus could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Columbus 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 Columbus - 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 Columbus AS to buy it.
The correlation of Columbus 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 Columbus moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbus AS 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 Columbus 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.Other Information on Investing in Columbus Stock
Columbus financial ratios help investors to determine whether Columbus Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Columbus with respect to the benefits of owning Columbus security.