BankInvest Emerging (Denmark) Market Value
| BAIEMAA Fund | DKK 127.40 3.05 2.45% |
| Symbol | BankInvest |
Please note, there is a significant difference between BankInvest Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if BankInvest Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BankInvest Emerging'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 Emerging '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 Emerging'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 Emerging.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in BankInvest Emerging on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding BankInvest Emerging Markets or generate 0.0% return on investment in BankInvest Emerging over 30 days. More
BankInvest Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7682 | |||
| Information Ratio | 0.0338 | |||
| Maximum Drawdown | 4.75 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.26 |
BankInvest Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BankInvest Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BankInvest Emerging's standard deviation. In reality, there are many statistical measures that can use BankInvest Emerging historical prices to predict the future BankInvest Emerging's volatility.| Risk Adjusted Performance | 0.1047 | |||
| Jensen Alpha | 0.1151 | |||
| Total Risk Alpha | 0.0109 | |||
| Sortino Ratio | 0.0318 | |||
| Treynor Ratio | (1.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BankInvest Emerging'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 Emerging Backtested Returns
We consider BankInvest Emerging out of control. BankInvest Emerging secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the fund had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for BankInvest Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm BankInvest Emerging's Downside Deviation of 0.7682, mean deviation of 0.5078, and Risk Adjusted Performance of 0.1047 to double-check if the risk estimate we provide is consistent with the expected return of 0.0838%. The fund shows a Beta (market volatility) of -0.0631, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BankInvest Emerging are expected to decrease at a much lower rate. During the bear market, BankInvest Emerging is likely to outperform the market.
Auto-correlation | -0.35 |
Poor reverse predictability
BankInvest Emerging Markets has poor reverse predictability. Overlapping area represents the amount of predictability between BankInvest Emerging time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 BankInvest Emerging price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current BankInvest Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 2.5 |
BankInvest Emerging lagged returns against current returns
Autocorrelation, which is BankInvest Emerging 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 Emerging's fund expected returns. We can calculate the autocorrelation of BankInvest Emerging returns to help us make a trade decision. For example, suppose you find that BankInvest Emerging 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 Emerging 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 Emerging fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BankInvest Emerging fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BankInvest Emerging fund over time.
Current vs Lagged Prices |
| Timeline |
BankInvest Emerging Lagged Returns
When evaluating BankInvest Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BankInvest Emerging fund have on its future price. BankInvest Emerging 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 Emerging autocorrelation shows the relationship between BankInvest Emerging fund current value and its past values and can show if there is a momentum factor associated with investing in BankInvest Emerging Markets.
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 BankInvest Emerging 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, BankInvest Emerging's short interest history, or implied volatility extrapolated from BankInvest Emerging options trading.
Pair Trading with BankInvest Emerging
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 Emerging 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 Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with BankInvest Fund
| 0.77 | JYINOB | Jyske Invest Nye | PairCorr |
| 0.69 | JYILOB | Jyske Invest Lange | PairCorr |
| 0.95 | MAJVAA | Maj Invest Value | PairCorr |
The ability to find closely correlated positions to BankInvest Emerging 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 Emerging 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 Emerging - 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 Emerging Markets to buy it.
The correlation of BankInvest Emerging 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 Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BankInvest Emerging 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 Emerging 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 BankInvest Emerging Correlation, BankInvest Emerging Volatility and BankInvest Emerging Alpha and Beta module to complement your research on BankInvest Emerging. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
BankInvest Emerging technical fund 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, fund market cycles, or different charting patterns.