Supply Network (Australia) Market Value
| SNL Stock | 32.40 0.24 0.74% |
| Symbol | Supply |
Supply Network '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 Supply Network'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 Supply Network.
| 11/26/2024 |
| 12/26/2024 |
If you would invest 0.00 in Supply Network on November 26, 2024 and sell it all today you would earn a total of 0.00 from holding Supply Network or generate 0.0% return on investment in Supply Network over 30 days. Supply Network is related to or competes with Westpac Banking, National Australia, National Australia, National Australia, Commonwealth Bank, Commonwealth Bank, and ANZ Group. Supply Network is entity of Australia. It is traded as Stock on AU exchange. More
Supply Network 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 Supply Network'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 Supply Network upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.78 | |||
| Information Ratio | 0.0688 | |||
| Maximum Drawdown | 8.51 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 3.71 |
Supply Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Supply Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Supply Network's standard deviation. In reality, there are many statistical measures that can use Supply Network historical prices to predict the future Supply Network's volatility.| Risk Adjusted Performance | 0.0801 | |||
| Jensen Alpha | 0.1549 | |||
| Total Risk Alpha | 0.0813 | |||
| Sortino Ratio | 0.0708 | |||
| Treynor Ratio | 0.9039 |
Supply Network Backtested Returns
Currently, Supply Network is very steady. Supply Network owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.074, which indicates the firm had a 0.074% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Supply Network, which you can use to evaluate the volatility of the company. Please validate Supply Network's Semi Deviation of 1.53, coefficient of variation of 1073.65, and Risk Adjusted Performance of 0.0801 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. Supply Network has a performance score of 5 on a scale of 0 to 100. The entity has a beta of 0.18, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Supply Network's returns are expected to increase less than the market. However, during the bear market, the loss of holding Supply Network is expected to be smaller as well. Supply Network right now has a risk of 1.69%. Please validate Supply Network total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to decide if Supply Network will be following its existing price patterns.
Auto-correlation | -0.4 |
Poor reverse predictability
Supply Network has poor reverse predictability. Overlapping area represents the amount of predictability between Supply Network time series from 26th of November 2024 to 11th of December 2024 and 11th of December 2024 to 26th 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 Supply Network price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Supply Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Supply Network lagged returns against current returns
Autocorrelation, which is Supply Network 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 Supply Network's stock expected returns. We can calculate the autocorrelation of Supply Network returns to help us make a trade decision. For example, suppose you find that Supply Network 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 |
Supply Network 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 Supply Network stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Supply Network stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Supply Network stock over time.
Current vs Lagged Prices |
| Timeline |
Supply Network Lagged Returns
When evaluating Supply Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Supply Network stock have on its future price. Supply Network 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, Supply Network autocorrelation shows the relationship between Supply Network stock current value and its past values and can show if there is a momentum factor associated with investing in Supply Network.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Supply Stock Analysis
When running Supply Network's price analysis, check to measure Supply Network'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 Supply Network is operating at the current time. Most of Supply Network's value examination focuses on studying past and present price action to predict the probability of Supply Network's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Supply Network's price. Additionally, you may evaluate how the addition of Supply Network to your portfolios can decrease your overall portfolio volatility.