Insurance Australia Group Stock Market Value
| IAUGF Stock | USD 4.12 0.00 0.00% |
| 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 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 Insurance Australia.
| 04/30/2022 |
| 04/19/2024 |
If you would invest 0.00 in Insurance Australia on April 30, 2022 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 720 days. Insurance Australia is related to or competes with Progressive Corp, White Mountains, Chubb, W R, and Kinsale Capital. Insurance Australia Group Limited underwrites general insurance products and provides investment management services in ... 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 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 Insurance Australia Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1175 | |||
| Maximum Drawdown | 8.05 | |||
| Potential Upside | 3.26 |
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 | 0.1133 | |||
| Jensen Alpha | 0.1649 | |||
| Total Risk Alpha | 0.0854 | |||
| Treynor Ratio | 0.3579 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Insurance Australia'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.
Insurance Australia Backtested Returns
Insurance Australia appears to be somewhat reliable, given 3 months investment horizon. Insurance Australia holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of risk over the last 3 months. We have found seventeen technical indicators for Insurance Australia, which you can use to evaluate the volatility of the firm. Please utilize Insurance Australia's Market Risk Adjusted Performance of 0.3679, standard deviation of 1.18, and Risk Adjusted Performance of 0.1133 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 14. The company retains a Market Volatility (i.e., Beta) of 0.55, which attests to possible diversification benefits within a given portfolio. 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 jensen alpha and kurtosis , to make a quick decision on whether Insurance Australia's current trending patterns will revert.
Auto-correlation | -0.25 |
Weak reverse predictability
Insurance Australia Group has weak reverse predictability. Overlapping area represents the amount of predictability between Insurance Australia time series from 30th of April 2022 to 25th of April 2023 and 25th of April 2023 to 19th 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 Insurance Australia price movement. The serial correlation of -0.25 indicates that over 25.0% of current Insurance Australia price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Insurance Australia lagged returns against current returns
Autocorrelation, which is Insurance Australia 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 Insurance Australia's pink sheet 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 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 |
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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Insurance Australia pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Insurance Australia pink sheet 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 pink sheet 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 pink sheet 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 |
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 Insurance Australia 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, Insurance Australia's short interest history, or implied volatility extrapolated from Insurance Australia options trading.
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Try AI Portfolio ArchitectCheck out Insurance Australia Correlation, Insurance Australia Volatility and Insurance Australia Alpha and Beta module to complement your research on Insurance Australia. Note that the Insurance Australia information on this page should be used as a complementary analysis to other Insurance Australia's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Insurance Pink Sheet analysis
When running Insurance Australia's price analysis, check to measure Insurance Australia's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Insurance Australia is operating at the current time. Most of Insurance Australia's value examination focuses on studying past and present price action to predict the probability of Insurance Australia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Insurance Australia's price. Additionally, you may evaluate how the addition of Insurance Australia to your portfolios can decrease your overall portfolio volatility.
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Insurance Australia technical pink sheet 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, pink sheet market cycles, or different charting patterns.