Xref (Australia) Market Value
XF1 Stock | 0.22 0.01 4.76% |
Symbol | Xref |
Xref '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 Xref'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 Xref.
12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Xref on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Xref or generate 0.0% return on investment in Xref over 720 days. Xref is related to or competes with ARN Media, Mount Gibson, Champion Iron, Qbe Insurance, and MotorCycle Holdings. Xref is entity of Australia. It is traded as Stock on AU exchange. More
Xref 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 Xref'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 Xref upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 9.22 | |||
Information Ratio | 0.0545 | |||
Maximum Drawdown | 54.55 | |||
Value At Risk | (7.14) | |||
Potential Upside | 7.14 |
Xref Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xref's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xref's standard deviation. In reality, there are many statistical measures that can use Xref historical prices to predict the future Xref's volatility.Risk Adjusted Performance | 0.0639 | |||
Jensen Alpha | 0.4548 | |||
Total Risk Alpha | (0.59) | |||
Sortino Ratio | 0.0434 | |||
Treynor Ratio | 0.9855 |
Xref Backtested Returns
Xref appears to be out of control, given 3 months investment horizon. Xref shows Sharpe Ratio of 0.0722, which attests that the company had a 0.0722% return per unit of risk over the last 3 months. By examining Xref's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please utilize Xref's Downside Deviation of 9.22, mean deviation of 2.87, and Market Risk Adjusted Performance of 0.9955 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Xref holds a performance score of 5. The firm maintains a market beta of 0.52, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Xref's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xref is expected to be smaller as well. Please check Xref's jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Xref's historical returns will revert.
Auto-correlation | -0.52 |
Good reverse predictability
Xref has good reverse predictability. Overlapping area represents the amount of predictability between Xref time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 Xref price movement. The serial correlation of -0.52 indicates that about 52.0% of current Xref price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.52 | |
Spearman Rank Test | -0.47 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Xref lagged returns against current returns
Autocorrelation, which is Xref 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 Xref's stock expected returns. We can calculate the autocorrelation of Xref returns to help us make a trade decision. For example, suppose you find that Xref 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 |
Xref 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 Xref stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xref stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xref stock over time.
Current vs Lagged Prices |
Timeline |
Xref Lagged Returns
When evaluating Xref's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xref stock have on its future price. Xref 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, Xref autocorrelation shows the relationship between Xref stock current value and its past values and can show if there is a momentum factor associated with investing in Xref.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Xref Stock Analysis
When running Xref's price analysis, check to measure Xref'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 Xref is operating at the current time. Most of Xref's value examination focuses on studying past and present price action to predict the probability of Xref's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xref's price. Additionally, you may evaluate how the addition of Xref to your portfolios can decrease your overall portfolio volatility.