Gdi Integrated Stock Market Value
| GDI Stock | CAD 37.37 0.18 0.48% |
| Symbol | GDI |
GDI Integrated Price To Book Ratio
GDI Integrated '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 GDI Integrated'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 GDI Integrated.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in GDI Integrated on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding GDI Integrated or generate 0.0% return on investment in GDI Integrated over 30 days. GDI Integrated is related to or competes with MTY Food, and Savaria. GDI Integrated Facility Services Inc. operates in the outsourced facility services industry More
GDI Integrated 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 GDI Integrated'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 GDI Integrated upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.51 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.52 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.87 |
GDI Integrated Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GDI Integrated's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GDI Integrated's standard deviation. In reality, there are many statistical measures that can use GDI Integrated historical prices to predict the future GDI Integrated's volatility.| Risk Adjusted Performance | 0.0134 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0193 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GDI Integrated'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.
GDI Integrated Backtested Returns
We consider GDI Integrated very steady. GDI Integrated holds Efficiency (Sharpe) Ratio of 0.0163, which attests that the entity had a 0.0163% return per unit of risk over the last 3 months. We have found thirty technical indicators for GDI Integrated, which you can use to evaluate the volatility of the firm. Please check out GDI Integrated's Semi Deviation of 1.41, risk adjusted performance of 0.0134, and Market Risk Adjusted Performance of 0.0293 to validate if the risk estimate we provide is consistent with the expected return of 0.0223%. GDI Integrated has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GDI Integrated's returns are expected to increase less than the market. However, during the bear market, the loss of holding GDI Integrated is expected to be smaller as well. GDI Integrated at this time retains a risk of 1.37%. Please check out GDI Integrated value at risk, kurtosis, and the relationship between the sortino ratio and semi variance , to decide if GDI Integrated will be following its current trending patterns.
Auto-correlation | -0.44 |
Modest reverse predictability
GDI Integrated has modest reverse predictability. Overlapping area represents the amount of predictability between GDI Integrated time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 GDI Integrated price movement. The serial correlation of -0.44 indicates that just about 44.0% of current GDI Integrated price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.67 |
GDI Integrated lagged returns against current returns
Autocorrelation, which is GDI Integrated 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 GDI Integrated's stock expected returns. We can calculate the autocorrelation of GDI Integrated returns to help us make a trade decision. For example, suppose you find that GDI Integrated 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 |
GDI Integrated 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 GDI Integrated stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GDI Integrated stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GDI Integrated stock over time.
Current vs Lagged Prices |
| Timeline |
GDI Integrated Lagged Returns
When evaluating GDI Integrated's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GDI Integrated stock have on its future price. GDI Integrated 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, GDI Integrated autocorrelation shows the relationship between GDI Integrated stock current value and its past values and can show if there is a momentum factor associated with investing in GDI Integrated.
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 GDI Integrated 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, GDI Integrated's short interest history, or implied volatility extrapolated from GDI Integrated options trading.
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Complementary Tools for GDI Stock analysis
When running GDI Integrated's price analysis, check to measure GDI Integrated'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 GDI Integrated is operating at the current time. Most of GDI Integrated's value examination focuses on studying past and present price action to predict the probability of GDI Integrated's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GDI Integrated's price. Additionally, you may evaluate how the addition of GDI Integrated to your portfolios can decrease your overall portfolio volatility.
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GDI Integrated technical stock 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, stock market cycles, or different charting patterns.