Carnegie Wealth (Denmark) Market Value
| CMINOA Stock | DKK 122.50 0.90 0.74% |
| Symbol | Carnegie |
Please note, there is a significant difference between Carnegie Wealth's value and its price as these two are different measures arrived at by different means. Investors typically determine if Carnegie Wealth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Carnegie Wealth's 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.
Carnegie Wealth '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 Carnegie Wealth'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 Carnegie Wealth.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Carnegie Wealth on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Carnegie Wealth Management or generate 0.0% return on investment in Carnegie Wealth over 720 days. Carnegie Wealth is related to or competes with Novo Nordisk, Nordea Bank, DSV Panalpina, AP Mller, AP Mller, Orsted AS, and Vestas Wind. More
Carnegie Wealth 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 Carnegie Wealth'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 Carnegie Wealth Management upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9081 | |||
| Information Ratio | 0.0459 | |||
| Maximum Drawdown | 4.58 | |||
| Value At Risk | (1.47) | |||
| Potential Upside | 1.78 |
Carnegie Wealth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Carnegie Wealth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carnegie Wealth's standard deviation. In reality, there are many statistical measures that can use Carnegie Wealth historical prices to predict the future Carnegie Wealth's volatility.| Risk Adjusted Performance | 0.0918 | |||
| Jensen Alpha | 0.1193 | |||
| Total Risk Alpha | 0.0058 | |||
| Sortino Ratio | 0.0463 | |||
| Treynor Ratio | 17.89 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carnegie Wealth'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.
Carnegie Wealth Mana Backtested Returns
We consider Carnegie Wealth very steady. Carnegie Wealth Mana secures Sharpe Ratio (or Efficiency) of 0.0975, which signifies that the company had a 0.0975% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Carnegie Wealth Management, which you can use to evaluate the volatility of the firm. Please confirm Carnegie Wealth's Risk Adjusted Performance of 0.0918, mean deviation of 0.697, and Downside Deviation of 0.9081 to double-check if the risk estimate we provide is consistent with the expected return of 0.0909%. Carnegie Wealth has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0067, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Carnegie Wealth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Carnegie Wealth is expected to be smaller as well. Carnegie Wealth Mana right now shows a risk of 0.93%. Please confirm Carnegie Wealth Mana expected short fall, and the relationship between the maximum drawdown and rate of daily change , to decide if Carnegie Wealth Mana will be following its price patterns.
Auto-correlation | -0.45 |
Modest reverse predictability
Carnegie Wealth Management has modest reverse predictability. Overlapping area represents the amount of predictability between Carnegie Wealth time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Carnegie Wealth Mana price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Carnegie Wealth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 23.86 |
Carnegie Wealth Mana lagged returns against current returns
Autocorrelation, which is Carnegie Wealth 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 Carnegie Wealth's stock expected returns. We can calculate the autocorrelation of Carnegie Wealth returns to help us make a trade decision. For example, suppose you find that Carnegie Wealth 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 |
Carnegie Wealth 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 Carnegie Wealth stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carnegie Wealth stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Carnegie Wealth stock over time.
Current vs Lagged Prices |
| Timeline |
Carnegie Wealth Lagged Returns
When evaluating Carnegie Wealth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Carnegie Wealth stock have on its future price. Carnegie Wealth 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, Carnegie Wealth autocorrelation shows the relationship between Carnegie Wealth stock current value and its past values and can show if there is a momentum factor associated with investing in Carnegie Wealth Management.
Regressed Prices |
| Timeline |
Pair Trading with Carnegie Wealth
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 Carnegie Wealth 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 Carnegie Wealth will appreciate offsetting losses from the drop in the long position's value.Moving together with Carnegie Stock
| 0.87 | NOVO-B | Novo Nordisk AS | PairCorr |
Moving against Carnegie Stock
| 0.9 | MAERSK-B | AP Mller Earnings Call This Week | PairCorr |
| 0.88 | MAERSK-A | AP Mller | PairCorr |
| 0.78 | SPENN | SPENN Technology | PairCorr |
| 0.73 | DSV | DSV Panalpina AS | PairCorr |
| 0.52 | ESG | Ennogie Solar Group | PairCorr |
The ability to find closely correlated positions to Carnegie Wealth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Carnegie Wealth 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 Carnegie Wealth - 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 Carnegie Wealth Management to buy it.
The correlation of Carnegie Wealth 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 Carnegie Wealth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Carnegie Wealth Mana 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 Carnegie Wealth 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 Carnegie Wealth Correlation, Carnegie Wealth Volatility and Carnegie Wealth Alpha and Beta module to complement your research on Carnegie Wealth. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Complementary Tools for Carnegie Stock analysis
When running Carnegie Wealth's price analysis, check to measure Carnegie Wealth'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 Carnegie Wealth is operating at the current time. Most of Carnegie Wealth's value examination focuses on studying past and present price action to predict the probability of Carnegie Wealth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Carnegie Wealth's price. Additionally, you may evaluate how the addition of Carnegie Wealth to your portfolios can decrease your overall portfolio volatility.
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Stocks Directory Find actively traded stocks across global markets | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
Carnegie Wealth 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.