FAST RETAIL (Germany) Market Value
| FR70 Stock | EUR 27.80 0.20 0.71% |
| Symbol | FAST |
FAST RETAIL '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 FAST RETAIL'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 FAST RETAIL.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in FAST RETAIL on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding FAST RETAIL ADR or generate 0.0% return on investment in FAST RETAIL over 90 days. FAST RETAIL is related to or competes with Zijin Mining, VARIOUS EATERIES, MCEWEN MINING, and ANGLO ASIAN. Fast Retailing Co., Ltd., through its subsidiaries, operates as an apparel designer and retailer in Japan and internatio... More
FAST RETAIL 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 FAST RETAIL'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 FAST RETAIL ADR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 8.22 | |||
| Value At Risk | (3.40) | |||
| Potential Upside | 2.11 |
FAST RETAIL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FAST RETAIL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FAST RETAIL's standard deviation. In reality, there are many statistical measures that can use FAST RETAIL historical prices to predict the future FAST RETAIL's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (1.70) |
FAST RETAIL ADR Backtested Returns
FAST RETAIL ADR secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the company had a -0.13 % return per unit of volatility over the last 3 months. FAST RETAIL ADR exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FAST RETAIL's Market Risk Adjusted Performance of (1.69), standard deviation of 1.73, and Mean Deviation of 1.36 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.16, which means not very significant fluctuations relative to the market. As returns on the market increase, FAST RETAIL's returns are expected to increase less than the market. However, during the bear market, the loss of holding FAST RETAIL is expected to be smaller as well. At this point, FAST RETAIL ADR has a negative expected return of -0.22%. Please make sure to confirm FAST RETAIL's total risk alpha, potential upside, kurtosis, as well as the relationship between the treynor ratio and skewness , to decide if FAST RETAIL ADR performance from the past will be repeated in the future.
Auto-correlation | 0.67 |
Good predictability
FAST RETAIL ADR has good predictability. Overlapping area represents the amount of predictability between FAST RETAIL time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 FAST RETAIL ADR price movement. The serial correlation of 0.67 indicates that around 67.0% of current FAST RETAIL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.76 |
FAST RETAIL ADR lagged returns against current returns
Autocorrelation, which is FAST RETAIL 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 FAST RETAIL's stock expected returns. We can calculate the autocorrelation of FAST RETAIL returns to help us make a trade decision. For example, suppose you find that FAST RETAIL 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 |
FAST RETAIL 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 FAST RETAIL stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FAST RETAIL stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FAST RETAIL stock over time.
Current vs Lagged Prices |
| Timeline |
FAST RETAIL Lagged Returns
When evaluating FAST RETAIL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FAST RETAIL stock have on its future price. FAST RETAIL 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, FAST RETAIL autocorrelation shows the relationship between FAST RETAIL stock current value and its past values and can show if there is a momentum factor associated with investing in FAST RETAIL ADR.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in FAST Stock
FAST RETAIL financial ratios help investors to determine whether FAST 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 FAST with respect to the benefits of owning FAST RETAIL security.