C WorldWide (Denmark) Market Value
| CWIGAKLA | 960.00 0.60 0.06% |
| Symbol | CWIGAKLA |
C WorldWide '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 C WorldWide's fund 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 C WorldWide.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in C WorldWide on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding C WorldWide Globale or generate 0.0% return on investment in C WorldWide over 30 days.
C WorldWide 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 C WorldWide's fund 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 C WorldWide Globale upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6682 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.37 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 1.4 |
C WorldWide Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for C WorldWide's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as C WorldWide's standard deviation. In reality, there are many statistical measures that can use C WorldWide historical prices to predict the future C WorldWide's volatility.| Risk Adjusted Performance | 0.0579 | |||
| Jensen Alpha | 0.004 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1404 |
C WorldWide Globale Backtested Returns
As of now, CWIGAKLA Fund is very steady. C WorldWide Globale secures Sharpe Ratio (or Efficiency) of 0.0817, which signifies that the fund had a 0.0817% return per unit of volatility over the last 3 months. We have found thirty technical indicators for C WorldWide Globale, which you can use to evaluate the volatility of the entity. Please confirm C WorldWide's Coefficient Of Variation of 1299.6, market risk adjusted performance of 0.1504, and Mean Deviation of 0.5226 to double-check if the risk estimate we provide is consistent with the expected return of 0.0572%. The entity shows a Beta (market volatility) of 0.31, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, C WorldWide's returns are expected to increase less than the market. However, during the bear market, the loss of holding C WorldWide is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
C WorldWide Globale has excellent predictability. Overlapping area represents the amount of predictability between C WorldWide time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 C WorldWide Globale price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current C WorldWide price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 85.15 |
C WorldWide Globale lagged returns against current returns
Autocorrelation, which is C WorldWide fund'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 C WorldWide's fund expected returns. We can calculate the autocorrelation of C WorldWide returns to help us make a trade decision. For example, suppose you find that C WorldWide has exhibited high autocorrelation historically, and you observe that the fund 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 |
C WorldWide 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 C WorldWide fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if C WorldWide fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in C WorldWide fund over time.
Current vs Lagged Prices |
| Timeline |
C WorldWide Lagged Returns
When evaluating C WorldWide's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of C WorldWide fund have on its future price. C WorldWide 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, C WorldWide autocorrelation shows the relationship between C WorldWide fund current value and its past values and can show if there is a momentum factor associated with investing in C WorldWide Globale.
Regressed Prices |
| Timeline |
Pair Trading with C WorldWide
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 C WorldWide 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 C WorldWide will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to C WorldWide could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace C WorldWide 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 C WorldWide - 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 C WorldWide Globale to buy it.
The correlation of C WorldWide 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 C WorldWide moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if C WorldWide Globale 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 C WorldWide 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.| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
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