Fast Retailing (Germany) Market Value
| FR7 Stock | EUR 335.50 4.50 1.32% |
| Symbol | Fast |
Fast Retailing '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 Retailing'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 Retailing.
| 12/17/2023 |
| 12/11/2024 |
If you would invest 0.00 in Fast Retailing on December 17, 2023 and sell it all today you would earn a total of 0.00 from holding Fast Retailing Co or generate 0.0% return on investment in Fast Retailing over 360 days. Fast Retailing is related to or competes with T.J. Maxx, Gap, Superior Plus, SIVERS SEMICONDUCTORS, NorAm Drilling, Norsk Hydro, and Reliance Steel. Fast Retailing Co., Ltd., through its subsidiaries, operates as an apparel retailer in Japan and internationally More
Fast Retailing 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 Retailing'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 Retailing Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.73 | |||
| Information Ratio | 0.0845 | |||
| Maximum Drawdown | 9.09 | |||
| Value At Risk | (2.70) | |||
| Potential Upside | 3.94 |
Fast Retailing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fast Retailing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fast Retailing's standard deviation. In reality, there are many statistical measures that can use Fast Retailing historical prices to predict the future Fast Retailing's volatility.| Risk Adjusted Performance | 0.1115 | |||
| Jensen Alpha | 0.288 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0998 | |||
| Treynor Ratio | (35.44) |
Fast Retailing Backtested Returns
Fast Retailing appears to be very steady, given 3 months investment horizon. Fast Retailing secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the company had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fast Retailing Co, which you can use to evaluate the volatility of the firm. Please utilize Fast Retailing's Downside Deviation of 1.73, coefficient of variation of 687.4, and Mean Deviation of 1.58 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fast Retailing holds a performance score of 11. The firm shows a Beta (market volatility) of -0.0081, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fast Retailing are expected to decrease at a much lower rate. During the bear market, Fast Retailing is likely to outperform the market. Please check Fast Retailing's treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Fast Retailing's price patterns will revert.
Auto-correlation | 0.24 |
Weak predictability
Fast Retailing Co has weak predictability. Overlapping area represents the amount of predictability between Fast Retailing time series from 17th of December 2023 to 14th of June 2024 and 14th of June 2024 to 11th of December 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 Fast Retailing price movement. The serial correlation of 0.24 indicates that over 24.0% of current Fast Retailing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 988.05 |
Fast Retailing lagged returns against current returns
Autocorrelation, which is Fast Retailing 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 Retailing's stock expected returns. We can calculate the autocorrelation of Fast Retailing returns to help us make a trade decision. For example, suppose you find that Fast Retailing 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 Retailing 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 Retailing stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fast Retailing stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fast Retailing stock over time.
Current vs Lagged Prices |
| Timeline |
Fast Retailing Lagged Returns
When evaluating Fast Retailing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fast Retailing stock have on its future price. Fast Retailing 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 Retailing autocorrelation shows the relationship between Fast Retailing stock current value and its past values and can show if there is a momentum factor associated with investing in Fast Retailing Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Fast Stock
Fast Retailing 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 Retailing security.