Turism Felix (Romania) Market Value
| TUFE Stock | 0.32 0.02 5.88% |
| Symbol | Turism |
Turism Felix '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 Turism Felix'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 Turism Felix.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in Turism Felix on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding Turism Felix B or generate 0.0% return on investment in Turism Felix over 720 days.
Turism Felix 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 Turism Felix'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 Turism Felix B upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.0 | |||
| Information Ratio | 0.0069 | |||
| Maximum Drawdown | 15.93 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 7.14 |
Turism Felix Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Turism Felix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Turism Felix's standard deviation. In reality, there are many statistical measures that can use Turism Felix historical prices to predict the future Turism Felix's volatility.| Risk Adjusted Performance | 0.043 | |||
| Jensen Alpha | 0.1277 | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | 0.0044 | |||
| Treynor Ratio | 1.84 |
Turism Felix B Backtested Returns
Turism Felix appears to be out of control, given 3 months investment horizon. Turism Felix B owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0634, which indicates the firm had a 0.0634% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Turism Felix B, which you can use to evaluate the volatility of the company. Please review Turism Felix's Semi Deviation of 2.12, risk adjusted performance of 0.043, and Coefficient Of Variation of 2158.46 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Turism Felix holds a performance score of 4. The entity has a beta of 0.074, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Turism Felix's returns are expected to increase less than the market. However, during the bear market, the loss of holding Turism Felix is expected to be smaller as well. Please check Turism Felix's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to make a quick decision on whether Turism Felix's existing price patterns will revert.
Auto-correlation | 0.03 |
Virtually no predictability
Turism Felix B has virtually no predictability. Overlapping area represents the amount of predictability between Turism Felix time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd 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 Turism Felix B price movement. The serial correlation of 0.03 indicates that only 3.0% of current Turism Felix price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Turism Felix B lagged returns against current returns
Autocorrelation, which is Turism Felix 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 Turism Felix's stock expected returns. We can calculate the autocorrelation of Turism Felix returns to help us make a trade decision. For example, suppose you find that Turism Felix 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 |
Turism Felix 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 Turism Felix stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Turism Felix stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Turism Felix stock over time.
Current vs Lagged Prices |
| Timeline |
Turism Felix Lagged Returns
When evaluating Turism Felix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Turism Felix stock have on its future price. Turism Felix 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, Turism Felix autocorrelation shows the relationship between Turism Felix stock current value and its past values and can show if there is a momentum factor associated with investing in Turism Felix B.
Regressed Prices |
| Timeline |
Pair Trading with Turism Felix
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Turism Felix position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Turism Felix will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Turism Felix could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Turism Felix when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Turism Felix - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Turism Felix B to buy it.
The correlation of Turism Felix is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Turism Felix moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Turism Felix B moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Turism Felix can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.