Ag Growth International Stock Market Value
| AFN Stock | CAD 36.03 0.14 0.39% |
| Symbol | AFN |
Ag Growth International Price To Book Ratio
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 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 Ag Growth.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Ag Growth on December 17, 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 90 days. Ag Growth is related to or competes with Exchange Income, Stella Jones, Superior Plus, NFI, and Martinrea International. Ag Growth International Inc., together with its subsidiaries, manufactures and distributes grain handling, storage, and ... 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 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 Ag Growth International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 13.9 | |||
| Value At Risk | (4.17) | |||
| Potential Upside | 2.15 |
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 | (0.21) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (1.11) |
Ag Growth International Backtested Returns
Ag Growth International retains Efficiency (Sharpe Ratio) of -0.25, which signifies that the company had a -0.25 % return per unit of price deviation over the last 3 months. Ag Growth exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ag Growth's Market Risk Adjusted Performance of (1.10), variance of 5.25, and Information Ratio of (0.20) to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.51, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Ag Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ag Growth is expected to be smaller as well. At this point, Ag Growth International has a negative expected return of -0.6%. Please make sure to confirm Ag Growth's coefficient of variation, value at risk, rate of daily change, as well as the relationship between the total risk alpha and kurtosis , to decide if Ag Growth International performance from the past will be repeated at some future date.
Auto-correlation | 0.76 |
Good predictability
Ag Growth International has good predictability. Overlapping area represents the amount of predictability between Ag Growth time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. 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 0.76 indicates that around 76.0% of current Ag Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 1.6 |
Ag Growth International lagged returns against current returns
Autocorrelation, which is Ag Growth 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 Ag Growth's stock 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 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 |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ag Growth stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ag Growth stock 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 stock 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 stock 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 AFN Stock
| 0.95 | TD | Toronto Dominion Bank | PairCorr |
| 0.83 | NTR | Nutrien | PairCorr |
| 0.56 | JPM | JPMorgan Chase | PairCorr |
| 0.56 | CITI | CITIGROUP CDR | 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.Other Information on Investing in AFN Stock
Ag Growth financial ratios help investors to determine whether AFN Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AFN with respect to the benefits of owning Ag Growth security.