Insurance Australia (Australia) Market Value
| IAG Stock | 8.54 0.26 3.14% |
| 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.
| 06/27/2024 |
| 12/24/2024 |
If you would invest 0.00 in Insurance Australia on June 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 180 days. Insurance Australia is related to or competes with Woolworths, Wesfarmers, Coles, Ramsay Health, Ramsay Health, Rio Tinto, and Commonwealth Bank. Insurance Australia is entity of Australia 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 | 1.14 | |||
| Information Ratio | 0.1183 | |||
| Maximum Drawdown | 5.9 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 2.76 |
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 | 0.1181 | |||
| Jensen Alpha | 0.1672 | |||
| Total Risk Alpha | 0.1374 | |||
| Sortino Ratio | 0.1336 | |||
| Treynor Ratio | 0.5278 |
Insurance Australia Backtested Returns
Insurance Australia appears to be not too volatile, given 3 months investment horizon. Insurance Australia holds Efficiency (Sharpe) Ratio of 0.19, which attests that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-nine 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 0.5378, risk adjusted performance of 0.1181, and Downside Deviation of 1.14 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 0.33, 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 total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Insurance Australia's current trending patterns will revert.
Auto-correlation | 0.92 |
Excellent predictability
Insurance Australia Group has excellent predictability. Overlapping area represents the amount of predictability between Insurance Australia time series from 27th of June 2024 to 25th of September 2024 and 25th of September 2024 to 24th 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 Insurance Australia price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Insurance Australia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
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 |
Thematic Opportunities
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Additional Tools for Insurance Stock 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.