Campine (Belgium) Market Value
| CAMB Stock | EUR 75.00 2.00 2.60% |
| Symbol | Campine |
Campine '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 Campine'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 Campine.
| 03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Campine on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Campine or generate 0.0% return on investment in Campine over 30 days. Campine is related to or competes with KBC Groep, Ageas SANV, UCB SA, and Melexis NV. The company manufactures lead alloys as well as recovers, treats, and refines lead to produce refined lead ingots More
Campine 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 Campine'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 Campine upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.47 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.42 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 3.08 |
Campine Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Campine's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Campine's standard deviation. In reality, there are many statistical measures that can use Campine historical prices to predict the future Campine's volatility.| Risk Adjusted Performance | 0.0085 | |||
| Jensen Alpha | 0.0647 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0049 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Campine'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.
Campine Backtested Returns
Campine secures Sharpe Ratio (or Efficiency) of -0.0025, which signifies that the company had a -0.0025% return per unit of risk over the last 3 months. Campine exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Campine's Downside Deviation of 2.47, risk adjusted performance of 0.0085, and Mean Deviation of 1.16 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.87, which signifies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Campine are expected to decrease slowly. On the other hand, during market turmoil, Campine is expected to outperform it slightly. Campine has an expected return of -0.0045%. Please make sure to confirm Campine jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if Campine performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.03 |
Very weak reverse predictability
Campine has very weak reverse predictability. Overlapping area represents the amount of predictability between Campine time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th of April 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 Campine price movement. The serial correlation of -0.03 indicates that only 3.0% of current Campine price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 5.71 |
Campine lagged returns against current returns
Autocorrelation, which is Campine 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 Campine's stock expected returns. We can calculate the autocorrelation of Campine returns to help us make a trade decision. For example, suppose you find that Campine 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 |
Campine 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 Campine stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Campine stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Campine stock over time.
Current vs Lagged Prices |
| Timeline |
Campine Lagged Returns
When evaluating Campine's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Campine stock have on its future price. Campine 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, Campine autocorrelation shows the relationship between Campine stock current value and its past values and can show if there is a momentum factor associated with investing in Campine.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Campine in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Campine's short interest history, or implied volatility extrapolated from Campine options trading.
Pair Trading with Campine
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 Campine 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 Campine will appreciate offsetting losses from the drop in the long position's value.Moving against Campine Stock
| 0.65 | AGS | ageas SANV | PairCorr |
| 0.58 | UCB | UCB SA | PairCorr |
The ability to find closely correlated positions to Campine could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Campine 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 Campine - 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 Campine to buy it.
The correlation of Campine 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 Campine moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Campine 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 Campine 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 Campine Correlation, Campine Volatility and Campine Alpha and Beta module to complement your research on Campine. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Complementary Tools for Campine Stock analysis
When running Campine's price analysis, check to measure Campine's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Campine is operating at the current time. Most of Campine's value examination focuses on studying past and present price action to predict the probability of Campine's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Campine's price. Additionally, you may evaluate how the addition of Campine to your portfolios can decrease your overall portfolio volatility.
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Campine 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.