BankInvest Lange (Denmark) Market Value
| BAILDOBA | DKK 89.94 0.08 0.09% |
| Symbol | BankInvest |
Please note, there is a significant difference between BankInvest Lange's value and its price as these two are different measures arrived at by different means. Investors typically determine if BankInvest Lange is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BankInvest Lange'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.
BankInvest Lange '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 BankInvest Lange'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 BankInvest Lange.
| 12/15/2022 |
| 12/04/2024 |
If you would invest 0.00 in BankInvest Lange on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding BankInvest Lange Danske or generate 0.0% return on investment in BankInvest Lange over 720 days. More
BankInvest Lange 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 BankInvest Lange'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 BankInvest Lange Danske upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2028 | |||
| Information Ratio | (0.40) | |||
| Maximum Drawdown | 0.9261 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.2915 |
BankInvest Lange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BankInvest Lange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BankInvest Lange's standard deviation. In reality, there are many statistical measures that can use BankInvest Lange historical prices to predict the future BankInvest Lange's volatility.| Risk Adjusted Performance | 0.1481 | |||
| Jensen Alpha | 0.0271 | |||
| Total Risk Alpha | 0.0081 | |||
| Sortino Ratio | (0.35) | |||
| Treynor Ratio | 0.6555 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BankInvest Lange'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.
BankInvest Lange Danske Backtested Returns
At this point, BankInvest Lange is very steady. BankInvest Lange Danske secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for BankInvest Lange Danske, which you can use to evaluate the volatility of the entity. Please confirm BankInvest Lange's Mean Deviation of 0.1402, coefficient of variation of 421.47, and Risk Adjusted Performance of 0.1481 to double-check if the risk estimate we provide is consistent with the expected return of 0.0381%. The fund shows a Beta (market volatility) of 0.0491, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BankInvest Lange's returns are expected to increase less than the market. However, during the bear market, the loss of holding BankInvest Lange is expected to be smaller as well.
Auto-correlation | 0.40 |
Average predictability
BankInvest Lange Danske has average predictability. Overlapping area represents the amount of predictability between BankInvest Lange time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th 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 BankInvest Lange Danske price movement. The serial correlation of 0.4 indicates that just about 40.0% of current BankInvest Lange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 2.69 |
BankInvest Lange Danske lagged returns against current returns
Autocorrelation, which is BankInvest Lange 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 BankInvest Lange's fund expected returns. We can calculate the autocorrelation of BankInvest Lange returns to help us make a trade decision. For example, suppose you find that BankInvest Lange 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 |
BankInvest Lange 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 BankInvest Lange fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BankInvest Lange fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BankInvest Lange fund over time.
Current vs Lagged Prices |
| Timeline |
BankInvest Lange Lagged Returns
When evaluating BankInvest Lange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BankInvest Lange fund have on its future price. BankInvest Lange 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, BankInvest Lange autocorrelation shows the relationship between BankInvest Lange fund current value and its past values and can show if there is a momentum factor associated with investing in BankInvest Lange Danske.
Regressed Prices |
| Timeline |
Pair Trading with BankInvest Lange
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 BankInvest Lange 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 BankInvest Lange will appreciate offsetting losses from the drop in the long position's value.Moving together with BankInvest Fund
| 0.84 | JYIKOB | Jyske Invest Korte | PairCorr |
| 0.61 | JYINOBV | Jyske Invest Nye | PairCorr |
| 0.81 | JYIVIRK | Jyske Invest Virksom | PairCorr |
| 0.91 | JYIHRV | Jyske Invest Hjt | PairCorr |
The ability to find closely correlated positions to BankInvest Lange could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BankInvest Lange 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 BankInvest Lange - 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 BankInvest Lange Danske to buy it.
The correlation of BankInvest Lange 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 BankInvest Lange moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BankInvest Lange Danske 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 BankInvest Lange 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 BankInvest Fund
BankInvest Lange financial ratios help investors to determine whether BankInvest 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 BankInvest with respect to the benefits of owning BankInvest Lange security.
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