Ag Growth International Stock Market Value
| AGGZF Stock | USD 36.48 0.29 0.79% |
| Symbol | AGGZF |
Ag Growth '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 Ag Growth's 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 Ag Growth.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Ag Growth on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Ag Growth International or generate 0.0% return on investment in Ag Growth over 30 days. Ag Growth is related to or competes with Bank Mandiri, Bank Mandiri, PT Bank, Bank Rakyat, Bank Central, PT Bank, and Bank Negara. Ag Growth International Inc., together with its subsidiaries, manufactures and distributes grain and rice handling, stor... More
Ag Growth 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 Ag Growth's 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 Ag Growth International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 17.08 | |||
| Value At Risk | (2.30) | |||
| Potential Upside | 1.28 |
Ag Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ag Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ag Growth's standard deviation. In reality, there are many statistical measures that can use Ag Growth historical prices to predict the future Ag Growth's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.43) | |||
| Treynor Ratio | 1.61 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ag Growth's 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.
Ag Growth International Backtested Returns
Ag Growth International retains Efficiency (Sharpe Ratio) of -0.1, which signifies that the company had a -0.1% return per unit of price deviation over the last 3 months. Ag Growth exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ag Growth's Information Ratio of (0.14), variance of 3.91, and Market Risk Adjusted Performance of 1.62 to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.13, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ag Growth are expected to decrease at a much lower rate. During the bear market, Ag Growth is likely to outperform the market. Ag Growth International has an expected return of -0.21%. Please make sure to confirm Ag Growth International total risk alpha, and the relationship between the standard deviation and kurtosis , to decide if Ag Growth International performance from the past will be repeated at some future date.
Auto-correlation | 0.61 |
Good predictability
Ag Growth International has good predictability. Overlapping area represents the amount of predictability between Ag Growth time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th of May 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 Ag Growth International price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Ag Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 12.68 |
Ag Growth International lagged returns against current returns
Autocorrelation, which is Ag Growth 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 Ag Growth's pink sheet expected returns. We can calculate the autocorrelation of Ag Growth returns to help us make a trade decision. For example, suppose you find that Ag Growth 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 |
Ag Growth 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 Ag Growth pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ag Growth pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ag Growth pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Ag Growth Lagged Returns
When evaluating Ag Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ag Growth pink sheet have on its future price. Ag Growth 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, Ag Growth autocorrelation shows the relationship between Ag Growth pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Ag Growth International.
Regressed Prices |
| Timeline |
Pair Trading with Ag Growth
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 Ag Growth 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 Ag Growth will appreciate offsetting losses from the drop in the long position's value.Moving against AGGZF Pink Sheet
| 0.68 | SWZNF | Schweizerische Nationalbank | PairCorr |
The ability to find closely correlated positions to Ag Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ag Growth 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 Ag Growth - 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 Ag Growth International to buy it.
The correlation of Ag Growth 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 Ag Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ag Growth International 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 Ag Growth 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 Ag Growth Correlation, Ag Growth Volatility and Ag Growth Alpha and Beta module to complement your research on Ag Growth. Note that the Ag Growth International information on this page should be used as a complementary analysis to other Ag Growth's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Complementary Tools for AGGZF Pink Sheet analysis
When running Ag Growth's price analysis, check to measure Ag Growth'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 Ag Growth is operating at the current time. Most of Ag Growth's value examination focuses on studying past and present price action to predict the probability of Ag Growth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ag Growth's price. Additionally, you may evaluate how the addition of Ag Growth to your portfolios can decrease your overall portfolio volatility.
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Ag Growth 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.