DKIDKF (Denmark) Market Value
| DKIDKF Fund | DKK 285.60 2.03 0.71% |
| Symbol | DKIDKF |
Please note, there is a significant difference between DKIDKF's value and its price as these two are different measures arrived at by different means. Investors typically determine if DKIDKF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DKIDKF'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.
DKIDKF '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 DKIDKF'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 DKIDKF.
| 12/23/2022 |
| 12/12/2024 |
If you would invest 0.00 in DKIDKF on December 23, 2022 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 DKIDKF over 720 days. Investeringsforeningen Danske Invest - Danmark Fokus KL is headquartered in Kongens Lyngby, Capital Region of Denmark, D... More
DKIDKF 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 DKIDKF'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 | (0.24) | |||
| Maximum Drawdown | 4.08 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.24 |
DKIDKF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DKIDKF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DKIDKF's standard deviation. In reality, there are many statistical measures that can use DKIDKF historical prices to predict the future DKIDKF's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.90) |
Investeringsforeningen Backtested Returns
Investeringsforeningen secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the fund had a -0.14% return per unit of risk over the last 3 months. Investeringsforeningen Danske Invest exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DKIDKF's Coefficient Of Variation of (1,324), variance of 0.5665, and Mean Deviation of 0.5765 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0744, which means not very significant fluctuations relative to the market. As returns on the market increase, DKIDKF's returns are expected to increase less than the market. However, during the bear market, the loss of holding DKIDKF is expected to be smaller as well.
Auto-correlation | 0.18 |
Very weak predictability
Investeringsforeningen Danske Invest has very weak predictability. Overlapping area represents the amount of predictability between DKIDKF time series from 23rd of December 2022 to 18th of December 2023 and 18th of December 2023 to 12th 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 0.18 indicates that over 18.0% of current DKIDKF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 90.38 |
Investeringsforeningen lagged returns against current returns
Autocorrelation, which is DKIDKF 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 DKIDKF's fund expected returns. We can calculate the autocorrelation of DKIDKF returns to help us make a trade decision. For example, suppose you find that DKIDKF 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 |
DKIDKF 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 DKIDKF fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DKIDKF fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DKIDKF fund over time.
Current vs Lagged Prices |
| Timeline |
DKIDKF Lagged Returns
When evaluating DKIDKF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DKIDKF fund have on its future price. DKIDKF 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, DKIDKF autocorrelation shows the relationship between DKIDKF 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 DKIDKF
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 DKIDKF 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 DKIDKF will appreciate offsetting losses from the drop in the long position's value.Moving against DKIDKF Fund
| 0.86 | JYIKOB | Jyske Invest Korte | PairCorr |
| 0.7 | MAJVAA | Maj Invest Value | PairCorr |
| 0.66 | JYILOB | Jyske Invest Lange | PairCorr |
| 0.57 | JYIHRV | Jyske Invest Hjt | PairCorr |
| 0.54 | JYIVIRK | Jyske Invest Virksom | PairCorr |
The ability to find closely correlated positions to DKIDKF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DKIDKF 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 DKIDKF - 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 DKIDKF 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 DKIDKF 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 DKIDKF 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 DKIDKF Fund
DKIDKF financial ratios help investors to determine whether DKIDKF 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 DKIDKF with respect to the benefits of owning DKIDKF security.
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