DKIEUHUAKLDKK (Denmark) Market Value
DKIEUHUAKLDKK | DKK 216.32 0.58 0.27% |
Symbol | DKIEUHUAKLDKK |
DKIEUHUAKLDKK '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 DKIEUHUAKLDKK'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 DKIEUHUAKLDKK.
11/05/2024 |
| 12/05/2024 |
If you would invest 0.00 in DKIEUHUAKLDKK on November 5, 2024 and sell it all today you would earn a total of 0.00 from holding Investeringsforeningen Danske Invest or generate 0.0% return on investment in DKIEUHUAKLDKK over 30 days. More
DKIEUHUAKLDKK 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 DKIEUHUAKLDKK'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 Investeringsforeningen Danske Invest upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.27) | |||
Maximum Drawdown | 3.22 | |||
Value At Risk | (0.94) | |||
Potential Upside | 0.8624 |
DKIEUHUAKLDKK Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DKIEUHUAKLDKK's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DKIEUHUAKLDKK's standard deviation. In reality, there are many statistical measures that can use DKIEUHUAKLDKK historical prices to predict the future DKIEUHUAKLDKK's volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.14) | |||
Treynor Ratio | (1.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DKIEUHUAKLDKK'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.
Investeringsforeningen Backtested Returns
Investeringsforeningen secures Sharpe Ratio (or Efficiency) of -0.0196, which denotes the fund had a -0.0196% return per unit of risk over the last 3 months. Investeringsforeningen Danske Invest exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DKIEUHUAKLDKK's Mean Deviation of 0.4711, variance of 0.3704, and Coefficient Of Variation of (3,393) to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0235, which means not very significant fluctuations relative to the market. As returns on the market increase, DKIEUHUAKLDKK's returns are expected to increase less than the market. However, during the bear market, the loss of holding DKIEUHUAKLDKK is expected to be smaller as well.
Auto-correlation | -0.3 |
Weak reverse predictability
Investeringsforeningen Danske Invest has weak reverse predictability. Overlapping area represents the amount of predictability between DKIEUHUAKLDKK time series from 5th of November 2024 to 20th of November 2024 and 20th of November 2024 to 5th of December 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 Investeringsforeningen price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current DKIEUHUAKLDKK price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.3 | |
Spearman Rank Test | -0.21 | |
Residual Average | 0.0 | |
Price Variance | 0.69 |
Investeringsforeningen lagged returns against current returns
Autocorrelation, which is DKIEUHUAKLDKK 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 DKIEUHUAKLDKK's fund expected returns. We can calculate the autocorrelation of DKIEUHUAKLDKK returns to help us make a trade decision. For example, suppose you find that DKIEUHUAKLDKK 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 |
DKIEUHUAKLDKK 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 DKIEUHUAKLDKK fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DKIEUHUAKLDKK fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DKIEUHUAKLDKK fund over time.
Current vs Lagged Prices |
Timeline |
DKIEUHUAKLDKK Lagged Returns
When evaluating DKIEUHUAKLDKK's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DKIEUHUAKLDKK fund have on its future price. DKIEUHUAKLDKK 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, DKIEUHUAKLDKK autocorrelation shows the relationship between DKIEUHUAKLDKK fund current value and its past values and can show if there is a momentum factor associated with investing in Investeringsforeningen Danske Invest.
Regressed Prices |
Timeline |
Pair Trading with DKIEUHUAKLDKK
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 DKIEUHUAKLDKK 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 DKIEUHUAKLDKK will appreciate offsetting losses from the drop in the long position's value.Moving against DKIEUHUAKLDKK Fund
0.65 | JYIKOB | Jyske Invest Korte | PairCorr |
0.63 | SPIUSVKL | Sparinvest USA Value | PairCorr |
0.52 | JYILOB | Jyske Invest Lange | PairCorr |
0.49 | MAJVAA | Maj Invest Value | PairCorr |
0.41 | JYIHRV | Jyske Invest Hjt | PairCorr |
The ability to find closely correlated positions to DKIEUHUAKLDKK could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DKIEUHUAKLDKK 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 DKIEUHUAKLDKK - 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 Investeringsforeningen Danske Invest to buy it.
The correlation of DKIEUHUAKLDKK 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 DKIEUHUAKLDKK moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Investeringsforeningen 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 DKIEUHUAKLDKK 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 DKIEUHUAKLDKK Fund
DKIEUHUAKLDKK financial ratios help investors to determine whether DKIEUHUAKLDKK Fund 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 DKIEUHUAKLDKK with respect to the benefits of owning DKIEUHUAKLDKK security.
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