Nn Group Nv Stock Market Value
NNGPF Stock | USD 46.09 0.59 1.30% |
Symbol | NNGPF |
NN Group '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 NN Group's pink sheet 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 NN Group.
10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in NN Group on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding NN Group NV or generate 0.0% return on investment in NN Group over 30 days. NN Group is related to or competes with Sampo Oyj, Ageas SA/NV, Athene Holding, Assicurazioni Generali, AXA SA, Sampo OYJ, and Zurich Insurance. NN Group N.V., a financial services company, primarily provides life insurance products in the Netherlands and internati... More
NN Group 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 NN Group's pink sheet 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 NN Group NV upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.19) | |||
Maximum Drawdown | 8.62 | |||
Value At Risk | (1.49) | |||
Potential Upside | 1.53 |
NN Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NN Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NN Group's standard deviation. In reality, there are many statistical measures that can use NN Group historical prices to predict the future NN Group's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.10) | |||
Total Risk Alpha | (0.27) | |||
Treynor Ratio | (6.33) |
NN Group NV Backtested Returns
NN Group NV retains Efficiency (Sharpe Ratio) of -0.0789, which conveys that the firm had a -0.0789% return per unit of price deviation over the last 3 months. NN Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NN Group's Mean Deviation of 0.5048, information ratio of (0.19), and Market Risk Adjusted Performance of (6.32) to check out the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.0158, which conveys not very significant fluctuations relative to the market. As returns on the market increase, NN Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding NN Group is expected to be smaller as well. At this point, NN Group NV has a negative expected return of -0.0917%. Please make sure to verify NN Group's maximum drawdown, and the relationship between the information ratio and daily balance of power , to decide if NN Group NV performance from the past will be repeated sooner or later.
Auto-correlation | 0.88 |
Very good predictability
NN Group NV has very good predictability. Overlapping area represents the amount of predictability between NN Group time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 NN Group NV price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current NN Group price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.88 | |
Spearman Rank Test | 0.33 | |
Residual Average | 0.0 | |
Price Variance | 0.73 |
NN Group NV lagged returns against current returns
Autocorrelation, which is NN Group pink sheet'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 NN Group's pink sheet expected returns. We can calculate the autocorrelation of NN Group returns to help us make a trade decision. For example, suppose you find that NN Group has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
NN Group 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 NN Group pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NN Group pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NN Group pink sheet over time.
Current vs Lagged Prices |
Timeline |
NN Group Lagged Returns
When evaluating NN Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NN Group pink sheet have on its future price. NN Group 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, NN Group autocorrelation shows the relationship between NN Group pink sheet current value and its past values and can show if there is a momentum factor associated with investing in NN Group NV.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in NNGPF Pink Sheet
NN Group financial ratios help investors to determine whether NNGPF Pink Sheet 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 NNGPF with respect to the benefits of owning NN Group security.