BankIn Bredygt (Denmark) Market Value
BAIKLA Stock | 94.58 0.28 0.30% |
Symbol | BankIn |
BankIn Bredygt '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 BankIn Bredygt'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 BankIn Bredygt.
12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in BankIn Bredygt on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding BankIn Bredygt Klimaakt or generate 0.0% return on investment in BankIn Bredygt over 90 days.
BankIn Bredygt 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 BankIn Bredygt'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 BankIn Bredygt Klimaakt upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.09) | |||
Maximum Drawdown | 5.18 | |||
Value At Risk | (2.19) | |||
Potential Upside | 1.54 |
BankIn Bredygt Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BankIn Bredygt's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BankIn Bredygt's standard deviation. In reality, there are many statistical measures that can use BankIn Bredygt historical prices to predict the future BankIn Bredygt's volatility.Risk Adjusted Performance | (0.16) | |||
Jensen Alpha | (0.21) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | 4.11 |
BankIn Bredygt Klimaakt Backtested Returns
BankIn Bredygt Klimaakt secures Sharpe Ratio (or Efficiency) of -0.31, which signifies that the company had a -0.31 % return per unit of risk over the last 3 months. BankIn Bredygt Klimaakt exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BankIn Bredygt's Standard Deviation of 1.08, risk adjusted performance of (0.16), and Mean Deviation of 0.7914 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0507, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BankIn Bredygt are expected to decrease at a much lower rate. During the bear market, BankIn Bredygt is likely to outperform the market. At this point, BankIn Bredygt Klimaakt has a negative expected return of -0.33%. Please make sure to confirm BankIn Bredygt's maximum drawdown, as well as the relationship between the daily balance of power and price action indicator , to decide if BankIn Bredygt Klimaakt performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.15 |
Insignificant reverse predictability
BankIn Bredygt Klimaakt has insignificant reverse predictability. Overlapping area represents the amount of predictability between BankIn Bredygt time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of BankIn Bredygt Klimaakt price movement. The serial correlation of -0.15 indicates that less than 15.0% of current BankIn Bredygt price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.15 | |
Spearman Rank Test | -0.15 | |
Residual Average | 0.0 | |
Price Variance | 8.15 |
BankIn Bredygt Klimaakt lagged returns against current returns
Autocorrelation, which is BankIn Bredygt 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 BankIn Bredygt's stock expected returns. We can calculate the autocorrelation of BankIn Bredygt returns to help us make a trade decision. For example, suppose you find that BankIn Bredygt 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 |
BankIn Bredygt 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 BankIn Bredygt stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BankIn Bredygt stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BankIn Bredygt stock over time.
Current vs Lagged Prices |
Timeline |
BankIn Bredygt Lagged Returns
When evaluating BankIn Bredygt's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BankIn Bredygt stock have on its future price. BankIn Bredygt 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, BankIn Bredygt autocorrelation shows the relationship between BankIn Bredygt stock current value and its past values and can show if there is a momentum factor associated with investing in BankIn Bredygt Klimaakt.
Regressed Prices |
Timeline |
Pair Trading with BankIn Bredygt
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 BankIn Bredygt 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 BankIn Bredygt will appreciate offsetting losses from the drop in the long position's value.Moving together with BankIn Stock
Moving against BankIn Stock
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0.42 | MAERSK-B | AP Mller | PairCorr |
The ability to find closely correlated positions to BankIn Bredygt could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BankIn Bredygt 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 BankIn Bredygt - 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 BankIn Bredygt Klimaakt to buy it.
The correlation of BankIn Bredygt 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 BankIn Bredygt moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BankIn Bredygt Klimaakt 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 BankIn Bredygt 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.