RLF AgTech (Australia) Market Value
| RLF Stock | 0.05 0.01 13.21% |
| Symbol | RLF |
RLF AgTech '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 RLF AgTech'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 RLF AgTech.
| 02/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in RLF AgTech on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding RLF AgTech or generate 0.0% return on investment in RLF AgTech over 270 days. RLF AgTech is related to or competes with British Amer, Sonic Healthcare, Dicker Data, Dug Technology, Regis Healthcare, and Austco Healthcare. RLF AgTech is entity of Australia. It is traded as Stock on AU exchange. More
RLF AgTech 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 RLF AgTech'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 RLF AgTech upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 31.54 | |||
| Value At Risk | (5.77) | |||
| Potential Upside | 6.12 |
RLF AgTech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RLF AgTech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RLF AgTech's standard deviation. In reality, there are many statistical measures that can use RLF AgTech historical prices to predict the future RLF AgTech's volatility.| Risk Adjusted Performance | 0.0076 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | 0.1538 |
RLF AgTech Backtested Returns
Currently, RLF AgTech is out of control. RLF AgTech maintains Sharpe Ratio (i.e., Efficiency) of 0.0137, which implies the firm had a 0.0137% return per unit of volatility over the last 3 months. We have found twenty-two technical indicators for RLF AgTech, which you can use to evaluate the volatility of the company. Please check RLF AgTech's risk adjusted performance of 0.0076, and Coefficient Of Variation of (123,913) to confirm if the risk estimate we provide is consistent with the expected return of 0.0584%. RLF AgTech has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of -0.0876, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning RLF AgTech are expected to decrease at a much lower rate. During the bear market, RLF AgTech is likely to outperform the market. RLF AgTech currently holds a risk of 4.27%. Please check RLF AgTech information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if RLF AgTech will be following its historical price patterns.
Auto-correlation | -0.36 |
Poor reverse predictability
RLF AgTech has poor reverse predictability. Overlapping area represents the amount of predictability between RLF AgTech time series from 27th of February 2024 to 11th of July 2024 and 11th of July 2024 to 23rd 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 RLF AgTech price movement. The serial correlation of -0.36 indicates that just about 36.0% of current RLF AgTech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
RLF AgTech lagged returns against current returns
Autocorrelation, which is RLF AgTech 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 RLF AgTech's stock expected returns. We can calculate the autocorrelation of RLF AgTech returns to help us make a trade decision. For example, suppose you find that RLF AgTech 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 |
RLF AgTech 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 RLF AgTech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RLF AgTech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RLF AgTech stock over time.
Current vs Lagged Prices |
| Timeline |
RLF AgTech Lagged Returns
When evaluating RLF AgTech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RLF AgTech stock have on its future price. RLF AgTech 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, RLF AgTech autocorrelation shows the relationship between RLF AgTech stock current value and its past values and can show if there is a momentum factor associated with investing in RLF AgTech.
Regressed Prices |
| Timeline |
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Additional Tools for RLF Stock Analysis
When running RLF AgTech's price analysis, check to measure RLF AgTech'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 RLF AgTech is operating at the current time. Most of RLF AgTech's value examination focuses on studying past and present price action to predict the probability of RLF AgTech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move RLF AgTech's price. Additionally, you may evaluate how the addition of RLF AgTech to your portfolios can decrease your overall portfolio volatility.