DKIJAP (Denmark) Market Value
| DKIJAP Stock | DKK 139.50 0.85 0.61% |
| Symbol | DKIJAP |
Please note, there is a significant difference between DKIJAP's value and its price as these two are different measures arrived at by different means. Investors typically determine if DKIJAP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DKIJAP'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.
DKIJAP '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 DKIJAP'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 DKIJAP.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in DKIJAP on March 17, 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 DKIJAP over 30 days. DKIJAP is related to or competes with Novo Nordisk, Nordea Bank, DSV Panalpina, AP Mller, AP Mller, Orsted AS, and Vestas Wind. More
DKIJAP 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 DKIJAP'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 Investeringsforeningen Danske Invest upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 10.62 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 1.48 |
DKIJAP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DKIJAP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DKIJAP's standard deviation. In reality, there are many statistical measures that can use DKIJAP historical prices to predict the future DKIJAP's volatility.| Risk Adjusted Performance | 0.0054 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.31) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DKIJAP'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
We consider DKIJAP very steady. Investeringsforeningen secures Sharpe Ratio (or Efficiency) of 0.0195, which denotes the company had a 0.0195% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Investeringsforeningen Danske Invest, which you can use to evaluate the volatility of the firm. Please confirm DKIJAP's Variance of 2.04, coefficient of variation of (291,917), and Mean Deviation of 0.8377 to check if the risk estimate we provide is consistent with the expected return of 0.0278%. DKIJAP has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0341, which means not very significant fluctuations relative to the market. As returns on the market increase, DKIJAP's returns are expected to increase less than the market. However, during the bear market, the loss of holding DKIJAP is expected to be smaller as well. Investeringsforeningen right now shows a risk of 1.42%. Please confirm Investeringsforeningen daily balance of power, and the relationship between the skewness and day typical price , to decide if Investeringsforeningen will be following its price patterns.
Auto-correlation | 0.15 |
Insignificant predictability
Investeringsforeningen Danske Invest has insignificant predictability. Overlapping area represents the amount of predictability between DKIJAP time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Investeringsforeningen price movement. The serial correlation of 0.15 indicates that less than 15.0% of current DKIJAP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.61 |
Investeringsforeningen lagged returns against current returns
Autocorrelation, which is DKIJAP 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 DKIJAP's stock expected returns. We can calculate the autocorrelation of DKIJAP returns to help us make a trade decision. For example, suppose you find that DKIJAP 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 |
DKIJAP 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 DKIJAP stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DKIJAP stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DKIJAP stock over time.
Current vs Lagged Prices |
| Timeline |
DKIJAP Lagged Returns
When evaluating DKIJAP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DKIJAP stock have on its future price. DKIJAP 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, DKIJAP autocorrelation shows the relationship between DKIJAP stock 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 |
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 DKIJAP 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, DKIJAP's short interest history, or implied volatility extrapolated from DKIJAP options trading.
Pair Trading with DKIJAP
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 DKIJAP 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 DKIJAP will appreciate offsetting losses from the drop in the long position's value.Moving against DKIJAP Stock
| 0.63 | CARL-B | Carlsberg AS | PairCorr |
| 0.5 | NOVO-B | Novo Nordisk AS | PairCorr |
| 0.43 | COLO-B | Coloplast AS | PairCorr |
The ability to find closely correlated positions to DKIJAP could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DKIJAP 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 DKIJAP - 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 DKIJAP 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 DKIJAP 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 DKIJAP 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 DKIJAP Correlation, DKIJAP Volatility and DKIJAP Alpha and Beta module to complement your research on DKIJAP. Note that the Investeringsforeningen information on this page should be used as a complementary analysis to other DKIJAP's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Complementary Tools for DKIJAP Stock analysis
When running DKIJAP's price analysis, check to measure DKIJAP'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 DKIJAP is operating at the current time. Most of DKIJAP's value examination focuses on studying past and present price action to predict the probability of DKIJAP's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DKIJAP's price. Additionally, you may evaluate how the addition of DKIJAP to your portfolios can decrease your overall portfolio volatility.
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |
DKIJAP 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.