DNB Norge (Ireland) Market Value

0P0001EFNG   1,679  3.28  0.19%   
DNB Norge's market value is the price at which a share of DNB Norge trades on a public exchange. It measures the collective expectations of DNB Norge Selektiv investors about its performance. DNB Norge is trading at 1679.24 as of the 14th of December 2024, a 0.19% down since the beginning of the trading day. The fund's lowest day price was 1679.24.
With this module, you can estimate the performance of a buy and hold strategy of DNB Norge Selektiv and determine expected loss or profit from investing in DNB Norge over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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DNB Norge '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 DNB Norge'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 DNB Norge.
0.00
11/14/2024
No Change 0.00  0.0 
In 31 days
12/14/2024
0.00
If you would invest  0.00  in DNB Norge on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding DNB Norge Selektiv or generate 0.0% return on investment in DNB Norge over 30 days.

DNB Norge 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 DNB Norge'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 DNB Norge Selektiv upside and downside potential and time the market with a certain degree of confidence.

DNB Norge Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DNB Norge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DNB Norge's standard deviation. In reality, there are many statistical measures that can use DNB Norge historical prices to predict the future DNB Norge's volatility.

DNB Norge Selektiv Backtested Returns

At this point, DNB Norge is very steady. DNB Norge Selektiv retains Efficiency (Sharpe Ratio) of 0.03, which denotes the fund had a 0.03% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for DNB Norge, which you can use to evaluate the volatility of the entity. Please confirm DNB Norge's Market Risk Adjusted Performance of 9.57, downside deviation of 0.6717, and Coefficient Of Variation of 1124.67 to check if the risk estimate we provide is consistent with the expected return of 0.0194%. The fund owns a Beta (Systematic Risk) of 0.0051, which means not very significant fluctuations relative to the market. As returns on the market increase, DNB Norge's returns are expected to increase less than the market. However, during the bear market, the loss of holding DNB Norge is expected to be smaller as well.

Auto-correlation

    
  -0.2  

Insignificant reverse predictability

DNB Norge Selektiv has insignificant reverse predictability. Overlapping area represents the amount of predictability between DNB Norge time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 DNB Norge Selektiv price movement. The serial correlation of -0.2 indicates that over 20.0% of current DNB Norge price fluctuation can be explain by its past prices.
Correlation Coefficient-0.2
Spearman Rank Test0.26
Residual Average0.0
Price Variance145.73

DNB Norge Selektiv lagged returns against current returns

Autocorrelation, which is DNB Norge 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 DNB Norge's fund expected returns. We can calculate the autocorrelation of DNB Norge returns to help us make a trade decision. For example, suppose you find that DNB Norge 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  

DNB Norge 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 DNB Norge fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DNB Norge fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DNB Norge fund over time.
   Current vs Lagged Prices   
       Timeline  

DNB Norge Lagged Returns

When evaluating DNB Norge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DNB Norge fund have on its future price. DNB Norge 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, DNB Norge autocorrelation shows the relationship between DNB Norge fund current value and its past values and can show if there is a momentum factor associated with investing in DNB Norge Selektiv.
   Regressed Prices   
       Timeline  

Pair Trading with DNB Norge

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 DNB Norge 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 DNB Norge will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to DNB Norge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DNB Norge 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 DNB Norge - 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 DNB Norge Selektiv to buy it.
The correlation of DNB Norge 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 DNB Norge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DNB Norge Selektiv 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 DNB Norge 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.
Pair CorrelationCorrelation Matching
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