Orora (Australia) Market Value
| ORA Stock | 2.12 0.03 1.40% |
| Symbol | Orora |
Orora '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 Orora'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 Orora.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in Orora on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Orora or generate 0.0% return on investment in Orora over 30 days. Orora is related to or competes with Ainsworth Game, Regis Healthcare, Dug Technology, Australian Agricultural, Macquarie Technology, and Computershare. Orora is entity of Australia. It is traded as Stock on AU exchange. More
Orora 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 Orora'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 Orora upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 9.27 | |||
| Value At Risk | (2.49) | |||
| Potential Upside | 2.1 |
Orora Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orora's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orora's standard deviation. In reality, there are many statistical measures that can use Orora historical prices to predict the future Orora's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.40) |
Orora Backtested Returns
Orora maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14 % return per unit of risk over the last 3 months. Orora exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Orora's Variance of 2.78, risk adjusted performance of (0.1), and Coefficient Of Variation of (707.30) to confirm the risk estimate we provide. The company holds a Beta of 0.61, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Orora's returns are expected to increase less than the market. However, during the bear market, the loss of holding Orora is expected to be smaller as well. At this point, Orora has a negative expected return of -0.24%. Please make sure to check Orora's potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Orora performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Orora has good predictability. Overlapping area represents the amount of predictability between Orora time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Orora price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Orora price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Orora lagged returns against current returns
Autocorrelation, which is Orora 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 Orora's stock expected returns. We can calculate the autocorrelation of Orora returns to help us make a trade decision. For example, suppose you find that Orora 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 |
Orora 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 Orora stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Orora stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Orora stock over time.
Current vs Lagged Prices |
| Timeline |
Orora Lagged Returns
When evaluating Orora's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orora stock have on its future price. Orora 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, Orora autocorrelation shows the relationship between Orora stock current value and its past values and can show if there is a momentum factor associated with investing in Orora.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Orora Stock Analysis
When running Orora's price analysis, check to measure Orora'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 Orora is operating at the current time. Most of Orora's value examination focuses on studying past and present price action to predict the probability of Orora's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orora's price. Additionally, you may evaluate how the addition of Orora to your portfolios can decrease your overall portfolio volatility.