Fukuyama Transporting (Germany) Market Value
| FUY Stock | EUR 23.00 0.40 1.77% |
| Symbol | Fukuyama |
Fukuyama Transporting '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 Fukuyama Transporting'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 Fukuyama Transporting.
| 06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Fukuyama Transporting on June 2, 2024 and sell it all today you would earn a total of 0.00 from holding Fukuyama Transporting Co or generate 0.0% return on investment in Fukuyama Transporting over 180 days. Fukuyama Transporting is related to or competes with Werner Enterprises, Seino Holdings, Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, and NorAm Drilling. Fukuyama Transporting Co., Ltd. operates as a logistics company in Japan, China, Hong Kong, Cambodia, Vietnam, Indonesia... More
Fukuyama Transporting 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 Fukuyama Transporting'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 Fukuyama Transporting Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.28 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.14 | |||
| Value At Risk | (2.54) | |||
| Potential Upside | 1.92 |
Fukuyama Transporting Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fukuyama Transporting's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fukuyama Transporting's standard deviation. In reality, there are many statistical measures that can use Fukuyama Transporting historical prices to predict the future Fukuyama Transporting's volatility.| Risk Adjusted Performance | 0.0128 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0591 |
Fukuyama Transporting Backtested Returns
At this point, Fukuyama Transporting is very steady. Fukuyama Transporting secures Sharpe Ratio (or Efficiency) of 0.0016, which denotes the company had a 0.0016% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fukuyama Transporting Co, which you can use to evaluate the volatility of the firm. Please confirm Fukuyama Transporting's Mean Deviation of 1.14, downside deviation of 2.28, and Coefficient Of Variation of 11041.74 to check if the risk estimate we provide is consistent with the expected return of 0.003%. The firm shows a Beta (market volatility) of 0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, Fukuyama Transporting's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fukuyama Transporting is expected to be smaller as well. Fukuyama Transporting right now shows a risk of 1.84%. Please confirm Fukuyama Transporting treynor ratio, downside variance, and the relationship between the total risk alpha and value at risk , to decide if Fukuyama Transporting will be following its price patterns.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Fukuyama Transporting Co has insignificant reverse predictability. Overlapping area represents the amount of predictability between Fukuyama Transporting time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th of November 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 Fukuyama Transporting price movement. The serial correlation of -0.2 indicates that over 20.0% of current Fukuyama Transporting price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.69 |
Fukuyama Transporting lagged returns against current returns
Autocorrelation, which is Fukuyama Transporting 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 Fukuyama Transporting's stock expected returns. We can calculate the autocorrelation of Fukuyama Transporting returns to help us make a trade decision. For example, suppose you find that Fukuyama Transporting 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 |
Fukuyama Transporting 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 Fukuyama Transporting stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fukuyama Transporting stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fukuyama Transporting stock over time.
Current vs Lagged Prices |
| Timeline |
Fukuyama Transporting Lagged Returns
When evaluating Fukuyama Transporting's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fukuyama Transporting stock have on its future price. Fukuyama Transporting 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, Fukuyama Transporting autocorrelation shows the relationship between Fukuyama Transporting stock current value and its past values and can show if there is a momentum factor associated with investing in Fukuyama Transporting Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Fukuyama Stock
Fukuyama Transporting financial ratios help investors to determine whether Fukuyama 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 Fukuyama with respect to the benefits of owning Fukuyama Transporting security.