IGO (Australia) Market Value
| IGO Stock | 4.95 0.01 0.20% |
| Symbol | IGO |
IGO '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 IGO'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 IGO.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in IGO on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding IGO or generate 0.0% return on investment in IGO over 30 days. IGO is related to or competes with Bank of Queensland, Magellan Financial, Credit Clear, BSP Financial, and Prime Financial. IGO is entity of Australia. It is traded as Stock on AU exchange. More
IGO 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 IGO'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 IGO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.6 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 16.4 | |||
| Value At Risk | (3.85) | |||
| Potential Upside | 4.22 |
IGO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IGO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IGO's standard deviation. In reality, there are many statistical measures that can use IGO historical prices to predict the future IGO's volatility.| Risk Adjusted Performance | 0.0185 | |||
| Jensen Alpha | 0.0537 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.17) |
IGO Backtested Returns
Currently, IGO is slightly risky. IGO holds Efficiency (Sharpe) Ratio of 0.0093, which attests that the entity had a 0.0093% return per unit of volatility over the last 3 months. We have found thirty technical indicators for IGO, which you can use to evaluate the volatility of the firm. Please check out IGO's risk adjusted performance of 0.0185, and Market Risk Adjusted Performance of (0.16) to validate if the risk estimate we provide is consistent with the expected return of 0.026%. The company retains a Market Volatility (i.e., Beta) of -0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IGO are expected to decrease at a much lower rate. During the bear market, IGO is likely to outperform the market. IGO now retains a risk of 2.81%. Please check out IGO jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if IGO will be following its current trending patterns.
Auto-correlation | 0.38 |
Below average predictability
IGO has below average predictability. Overlapping area represents the amount of predictability between IGO time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 IGO price movement. The serial correlation of 0.38 indicates that just about 38.0% of current IGO price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
IGO lagged returns against current returns
Autocorrelation, which is IGO 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 IGO's stock expected returns. We can calculate the autocorrelation of IGO returns to help us make a trade decision. For example, suppose you find that IGO 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 |
IGO 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 IGO stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IGO stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IGO stock over time.
Current vs Lagged Prices |
| Timeline |
IGO Lagged Returns
When evaluating IGO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IGO stock have on its future price. IGO 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, IGO autocorrelation shows the relationship between IGO stock current value and its past values and can show if there is a momentum factor associated with investing in IGO.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for IGO Stock Analysis
When running IGO's price analysis, check to measure IGO'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 IGO is operating at the current time. Most of IGO's value examination focuses on studying past and present price action to predict the probability of IGO's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IGO's price. Additionally, you may evaluate how the addition of IGO to your portfolios can decrease your overall portfolio volatility.