Argosy Minerals Limited Stock Market Value
| ARYMF Stock | USD 0.09 0 4.22% |
| Symbol | Argosy |
Argosy Minerals '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 Argosy Minerals' pink sheet 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 Argosy Minerals.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Argosy Minerals on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Argosy Minerals Limited or generate 0.0% return on investment in Argosy Minerals over 30 days. Argosy Minerals is related to or competes with Azimut Exploration. Argosy Minerals Limited engages in the exploration and development of lithium projects in Australia and the United State... More
Argosy Minerals 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 Argosy Minerals' pink sheet 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 Argosy Minerals Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.4 | |||
| Information Ratio | 0.0368 | |||
| Maximum Drawdown | 41.52 | |||
| Value At Risk | (12.71) | |||
| Potential Upside | 15.17 |
Argosy Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Argosy Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Argosy Minerals' standard deviation. In reality, there are many statistical measures that can use Argosy Minerals historical prices to predict the future Argosy Minerals' volatility.| Risk Adjusted Performance | 0.0391 | |||
| Jensen Alpha | 0.3982 | |||
| Total Risk Alpha | (0.61) | |||
| Sortino Ratio | 0.0243 | |||
| Treynor Ratio | (0.67) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Argosy Minerals' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Argosy Minerals Backtested Returns
Argosy Minerals appears to be out of control, given 3 months investment horizon. Argosy Minerals secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of standard deviation over the last 3 months. By analyzing Argosy Minerals' technical indicators, you can evaluate if the expected return of 0.8% is justified by implied risk. Please makes use of Argosy Minerals' mean deviation of 4.4, and Risk Adjusted Performance of 0.0391 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Argosy Minerals holds a performance score of 8. The firm shows a Beta (market volatility) of -0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Argosy Minerals are expected to decrease at a much lower rate. During the bear market, Argosy Minerals is likely to outperform the market. Please check Argosy Minerals' information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Argosy Minerals' price patterns will revert.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Argosy Minerals Limited has insignificant reverse predictability. Overlapping area represents the amount of predictability between Argosy Minerals time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Argosy Minerals price movement. The serial correlation of -0.2 indicates that over 20.0% of current Argosy Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Argosy Minerals lagged returns against current returns
Autocorrelation, which is Argosy Minerals pink sheet'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 Argosy Minerals' pink sheet expected returns. We can calculate the autocorrelation of Argosy Minerals returns to help us make a trade decision. For example, suppose you find that Argosy Minerals has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Argosy Minerals 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 Argosy Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Argosy Minerals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Argosy Minerals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Argosy Minerals Lagged Returns
When evaluating Argosy Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Argosy Minerals pink sheet have on its future price. Argosy Minerals 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, Argosy Minerals autocorrelation shows the relationship between Argosy Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Argosy Minerals Limited.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Argosy Minerals in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Argosy Minerals' short interest history, or implied volatility extrapolated from Argosy Minerals options trading.
Pair Trading with Argosy Minerals
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Argosy Minerals position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Argosy Minerals will appreciate offsetting losses from the drop in the long position's value.Moving against Argosy Pink Sheet
| 0.71 | PTAIF | PT Astra International | PairCorr |
| 0.59 | BHP | BHP Group Limited Fiscal Year End 27th of August 2024 | PairCorr |
| 0.55 | RTNTF | Rio Tinto Group | PairCorr |
| 0.52 | RIO | Rio Tinto ADR | PairCorr |
| 0.44 | EC | Ecopetrol SA ADR Financial Report 8th of May 2024 | PairCorr |
The ability to find closely correlated positions to Argosy Minerals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Argosy Minerals when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Argosy Minerals - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Argosy Minerals Limited to buy it.
The correlation of Argosy Minerals is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Argosy Minerals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Argosy Minerals moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Argosy Minerals can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Argosy Minerals Correlation, Argosy Minerals Volatility and Argosy Minerals Alpha and Beta module to complement your research on Argosy Minerals. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Complementary Tools for Argosy Pink Sheet analysis
When running Argosy Minerals' price analysis, check to measure Argosy Minerals' 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 Argosy Minerals is operating at the current time. Most of Argosy Minerals' value examination focuses on studying past and present price action to predict the probability of Argosy Minerals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Argosy Minerals' price. Additionally, you may evaluate how the addition of Argosy Minerals to your portfolios can decrease your overall portfolio volatility.
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Argosy Minerals technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.