ZIP (Australia) Market Value
| ZIP Stock | 3.00 0.05 1.64% |
| Symbol | ZIP |
ZIP '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 ZIP'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 ZIP.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in ZIP on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding ZIP Co or generate 0.0% return on investment in ZIP over 90 days. ZIP is related to or competes with Commonwealth Bank, Australia, ANZ Group, Australia, Macquarie, National Australia, and National Australia. ZIP is entity of Australia. It is traded as Stock on AU exchange. More
ZIP 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 ZIP'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 ZIP Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.38 | |||
| Information Ratio | 0.2185 | |||
| Maximum Drawdown | 25.25 | |||
| Value At Risk | (5.30) | |||
| Potential Upside | 12.96 |
ZIP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZIP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZIP's standard deviation. In reality, there are many statistical measures that can use ZIP historical prices to predict the future ZIP's volatility.| Risk Adjusted Performance | 0.2402 | |||
| Jensen Alpha | 1.16 | |||
| Total Risk Alpha | 0.4825 | |||
| Sortino Ratio | 0.3087 | |||
| Treynor Ratio | 6.88 |
ZIP Co Backtested Returns
ZIP is very risky given 3 months investment horizon. ZIP Co shows Sharpe Ratio of 0.27, which attests that the company had a 0.27 % return per unit of risk over the last 3 months. We were able to interpolate data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.16% are justified by taking the suggested risk. Use ZIP Co Downside Deviation of 3.38, market risk adjusted performance of 6.89, and Mean Deviation of 3.37 to evaluate company specific risk that cannot be diversified away. ZIP holds a performance score of 21 on a scale of zero to a hundred. The firm maintains a market beta of 0.17, which attests to not very significant fluctuations relative to the market. As returns on the market increase, ZIP's returns are expected to increase less than the market. However, during the bear market, the loss of holding ZIP is expected to be smaller as well. Use ZIP Co sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to analyze future returns on ZIP Co.
Auto-correlation | 0.79 |
Good predictability
ZIP Co has good predictability. Overlapping area represents the amount of predictability between ZIP time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 ZIP Co price movement. The serial correlation of 0.79 indicates that around 79.0% of current ZIP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
ZIP Co lagged returns against current returns
Autocorrelation, which is ZIP 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 ZIP's stock expected returns. We can calculate the autocorrelation of ZIP returns to help us make a trade decision. For example, suppose you find that ZIP 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 |
ZIP 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 ZIP stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZIP stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZIP stock over time.
Current vs Lagged Prices |
| Timeline |
ZIP Lagged Returns
When evaluating ZIP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZIP stock have on its future price. ZIP 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, ZIP autocorrelation shows the relationship between ZIP stock current value and its past values and can show if there is a momentum factor associated with investing in ZIP Co.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for ZIP Stock Analysis
When running ZIP's price analysis, check to measure ZIP'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 ZIP is operating at the current time. Most of ZIP's value examination focuses on studying past and present price action to predict the probability of ZIP's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZIP's price. Additionally, you may evaluate how the addition of ZIP to your portfolios can decrease your overall portfolio volatility.