MoneyMe (Australia) Market Value
| MME Stock | 0.16 0.01 5.88% |
| Symbol | MoneyMe |
MoneyMe '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 MoneyMe'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 MoneyMe.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in MoneyMe on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding MoneyMe or generate 0.0% return on investment in MoneyMe over 30 days. MoneyMe is related to or competes with Aurelia Metals, Kkr Credit, Perseus Mining, Qbe Insurance, and Perpetual Credit. MoneyMe is entity of Australia. It is traded as Stock on AU exchange. More
MoneyMe 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 MoneyMe'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 MoneyMe upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.17 | |||
| Information Ratio | 0.1026 | |||
| Maximum Drawdown | 35.61 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 |
MoneyMe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MoneyMe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MoneyMe's standard deviation. In reality, there are many statistical measures that can use MoneyMe historical prices to predict the future MoneyMe's volatility.| Risk Adjusted Performance | 0.0943 | |||
| Jensen Alpha | 0.8019 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0822 | |||
| Treynor Ratio | (1.70) |
MoneyMe Backtested Returns
MoneyMe appears to be out of control, given 3 months investment horizon. MoneyMe has Sharpe Ratio of 0.0988, which conveys that the firm had a 0.0988% return per unit of risk over the last 3 months. By analyzing MoneyMe's technical indicators, you can evaluate if the expected return of 0.64% is justified by implied risk. Please exercise MoneyMe's Mean Deviation of 4.5, downside deviation of 8.17, and Risk Adjusted Performance of 0.0943 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, MoneyMe holds a performance score of 7. The company secures a Beta (Market Risk) of -0.45, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning MoneyMe are expected to decrease at a much lower rate. During the bear market, MoneyMe is likely to outperform the market. Please check MoneyMe's sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether MoneyMe's current price movements will revert.
Auto-correlation | -0.08 |
Very weak reverse predictability
MoneyMe has very weak reverse predictability. Overlapping area represents the amount of predictability between MoneyMe time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 MoneyMe price movement. The serial correlation of -0.08 indicates that barely 8.0% of current MoneyMe price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
MoneyMe lagged returns against current returns
Autocorrelation, which is MoneyMe 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 MoneyMe's stock expected returns. We can calculate the autocorrelation of MoneyMe returns to help us make a trade decision. For example, suppose you find that MoneyMe 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 |
MoneyMe 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 MoneyMe stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MoneyMe stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MoneyMe stock over time.
Current vs Lagged Prices |
| Timeline |
MoneyMe Lagged Returns
When evaluating MoneyMe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MoneyMe stock have on its future price. MoneyMe 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, MoneyMe autocorrelation shows the relationship between MoneyMe stock current value and its past values and can show if there is a momentum factor associated with investing in MoneyMe.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for MoneyMe Stock Analysis
When running MoneyMe's price analysis, check to measure MoneyMe'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 MoneyMe is operating at the current time. Most of MoneyMe's value examination focuses on studying past and present price action to predict the probability of MoneyMe's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MoneyMe's price. Additionally, you may evaluate how the addition of MoneyMe to your portfolios can decrease your overall portfolio volatility.