Iodm (Australia) Market Value
IOD Stock | 0.16 0.02 11.11% |
Symbol | Iodm |
Iodm '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 Iodm'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 Iodm.
05/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in Iodm on May 27, 2024 and sell it all today you would earn a total of 0.00 from holding Iodm or generate 0.0% return on investment in Iodm over 180 days. Iodm is related to or competes with Australian United, Garda Diversified, Richmond Vanadium, Cleanaway Waste, Carlton Investments, Auctus Alternative, and Duxton Broadacre. Iodm is entity of Australia. It is traded as Stock on AU exchange. More
Iodm 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 Iodm'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 Iodm upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.04) | |||
Maximum Drawdown | 22.29 | |||
Value At Risk | (5.88) | |||
Potential Upside | 6.25 |
Iodm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Iodm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Iodm's standard deviation. In reality, there are many statistical measures that can use Iodm historical prices to predict the future Iodm's volatility.Risk Adjusted Performance | 0.0041 | |||
Jensen Alpha | 0.0168 | |||
Total Risk Alpha | (0.63) | |||
Treynor Ratio | 0.077 |
Iodm Backtested Returns
Iodm holds Efficiency (Sharpe) Ratio of -0.0292, which attests that the entity had a -0.0292% return per unit of risk over the last 3 months. Iodm exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Iodm's Standard Deviation of 3.82, market risk adjusted performance of 0.087, and Risk Adjusted Performance of 0.0041 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Iodm are expected to decrease at a much lower rate. During the bear market, Iodm is likely to outperform the market. At this point, Iodm has a negative expected return of -0.11%. Please make sure to check out Iodm's coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Iodm performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Iodm has insignificant reverse predictability. Overlapping area represents the amount of predictability between Iodm time series from 27th of May 2024 to 25th of August 2024 and 25th of August 2024 to 23rd 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 Iodm price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Iodm price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.13 | |
Spearman Rank Test | -0.14 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Iodm lagged returns against current returns
Autocorrelation, which is Iodm 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 Iodm's stock expected returns. We can calculate the autocorrelation of Iodm returns to help us make a trade decision. For example, suppose you find that Iodm 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 |
Iodm 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 Iodm stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Iodm stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Iodm stock over time.
Current vs Lagged Prices |
Timeline |
Iodm Lagged Returns
When evaluating Iodm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Iodm stock have on its future price. Iodm 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, Iodm autocorrelation shows the relationship between Iodm stock current value and its past values and can show if there is a momentum factor associated with investing in Iodm.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Iodm Stock Analysis
When running Iodm's price analysis, check to measure Iodm'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 Iodm is operating at the current time. Most of Iodm's value examination focuses on studying past and present price action to predict the probability of Iodm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Iodm's price. Additionally, you may evaluate how the addition of Iodm to your portfolios can decrease your overall portfolio volatility.