Insurance Australia (Germany) Market Value
| NRM Stock | EUR 4.98 0.06 1.22% |
| Symbol | Insurance |
Insurance Australia '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 Insurance Australia'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 Insurance Australia.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Insurance Australia on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Insurance Australia Group or generate 0.0% return on investment in Insurance Australia over 30 days. Insurance Australia is related to or competes with Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, Talanx AG, NorAm Drilling, and Identiv. Insurance Australia Group Limited underwrites general insurance products More
Insurance Australia 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 Insurance Australia'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 Insurance Australia Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.59 | |||
| Information Ratio | 0.0818 | |||
| Maximum Drawdown | 11.7 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 3.52 |
Insurance Australia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Insurance Australia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Insurance Australia's standard deviation. In reality, there are many statistical measures that can use Insurance Australia historical prices to predict the future Insurance Australia's volatility.| Risk Adjusted Performance | 0.1277 | |||
| Jensen Alpha | 0.2252 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0868 | |||
| Treynor Ratio | 0.9321 |
Insurance Australia Backtested Returns
Insurance Australia appears to be somewhat reliable, given 3 months investment horizon. Insurance Australia holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Insurance Australia, which you can use to evaluate the volatility of the firm. Please utilize Insurance Australia's Risk Adjusted Performance of 0.1277, downside deviation of 1.59, and Market Risk Adjusted Performance of 0.9421 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Insurance Australia holds a performance score of 12. The company retains a Market Volatility (i.e., Beta) of 0.28, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Insurance Australia's returns are expected to increase less than the market. However, during the bear market, the loss of holding Insurance Australia is expected to be smaller as well. Please check Insurance Australia's downside variance, kurtosis, and the relationship between the value at risk and expected short fall , to make a quick decision on whether Insurance Australia's current trending patterns will revert.
Auto-correlation | 0.31 |
Below average predictability
Insurance Australia Group has below average predictability. Overlapping area represents the amount of predictability between Insurance Australia time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Insurance Australia price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Insurance Australia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Insurance Australia lagged returns against current returns
Autocorrelation, which is Insurance Australia 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 Insurance Australia's stock expected returns. We can calculate the autocorrelation of Insurance Australia returns to help us make a trade decision. For example, suppose you find that Insurance Australia 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 |
Insurance Australia 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 Insurance Australia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Insurance Australia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Insurance Australia stock over time.
Current vs Lagged Prices |
| Timeline |
Insurance Australia Lagged Returns
When evaluating Insurance Australia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Insurance Australia stock have on its future price. Insurance Australia 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, Insurance Australia autocorrelation shows the relationship between Insurance Australia stock current value and its past values and can show if there is a momentum factor associated with investing in Insurance Australia Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Insurance Stock
Insurance Australia financial ratios help investors to determine whether Insurance Stock 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 Insurance with respect to the benefits of owning Insurance Australia security.