Hotel Fitra (Indonesia) Market Value
| FITT Stock | 98.00 1.00 1.03% |
| Symbol | Hotel |
Hotel Fitra '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 Hotel Fitra'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 Hotel Fitra.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Hotel Fitra on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Hotel Fitra International or generate 0.0% return on investment in Hotel Fitra over 510 days. Hotel Fitra is related to or competes with Jasa Armada, Cahayaputra Asa, and Campina Ice. More
Hotel Fitra 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 Hotel Fitra'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 Hotel Fitra International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 7.83 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 1.03 |
Hotel Fitra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hotel Fitra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hotel Fitra's standard deviation. In reality, there are many statistical measures that can use Hotel Fitra historical prices to predict the future Hotel Fitra's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (1.43) |
Hotel Fitra International Backtested Returns
Hotel Fitra International holds Efficiency (Sharpe) Ratio of -0.0225, which attests that the entity had a -0.0225% return per unit of risk over the last 3 months. Hotel Fitra International exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hotel Fitra's Risk Adjusted Performance of (0.01), standard deviation of 1.11, and Market Risk Adjusted Performance of (1.42) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0242, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hotel Fitra's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hotel Fitra is expected to be smaller as well. At this point, Hotel Fitra International has a negative expected return of -0.0257%. Please make sure to check out Hotel Fitra's maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Hotel Fitra International performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.47 |
Average predictability
Hotel Fitra International has average predictability. Overlapping area represents the amount of predictability between Hotel Fitra time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Hotel Fitra International price movement. The serial correlation of 0.47 indicates that about 47.0% of current Hotel Fitra price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 33.1 K |
Hotel Fitra International lagged returns against current returns
Autocorrelation, which is Hotel Fitra 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 Hotel Fitra's stock expected returns. We can calculate the autocorrelation of Hotel Fitra returns to help us make a trade decision. For example, suppose you find that Hotel Fitra 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 |
Hotel Fitra 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 Hotel Fitra stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hotel Fitra stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hotel Fitra stock over time.
Current vs Lagged Prices |
| Timeline |
Hotel Fitra Lagged Returns
When evaluating Hotel Fitra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hotel Fitra stock have on its future price. Hotel Fitra 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, Hotel Fitra autocorrelation shows the relationship between Hotel Fitra stock current value and its past values and can show if there is a momentum factor associated with investing in Hotel Fitra International.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in Hotel Stock
Hotel Fitra financial ratios help investors to determine whether Hotel 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 Hotel with respect to the benefits of owning Hotel Fitra security.