UF Games (Poland) Market Value
| UFG Stock | 1.09 0.02 1.80% |
| Symbol | UFG |
Please note, there is a significant difference between UF Games' value and its price as these two are different measures arrived at by different means. Investors typically determine if UF Games is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UF Games' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
UF Games '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 UF Games' 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 UF Games.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in UF Games on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding UF Games SA or generate 0.0% return on investment in UF Games over 30 days. UF Games is related to or competes with CI Games, Skyline Investment, Igoria Trade, Play2Chill, and Globe Trade. More
UF Games 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 UF Games' 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 UF Games SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 15.8 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 4.44 |
UF Games Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UF Games' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UF Games' standard deviation. In reality, there are many statistical measures that can use UF Games historical prices to predict the future UF Games' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.36) | |||
| Total Risk Alpha | (0.68) | |||
| Treynor Ratio | (1.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UF Games' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
UF Games SA Backtested Returns
UF Games SA retains Efficiency (Sharpe Ratio) of -0.34, which indicates the firm had a -0.34% return per unit of price deviation over the last 3 months. UF Games exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UF Games' Risk Adjusted Performance of (0.08), standard deviation of 2.67, and Mean Deviation of 1.71 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, UF Games' returns are expected to increase less than the market. However, during the bear market, the loss of holding UF Games is expected to be smaller as well. At this point, UF Games SA has a negative expected return of -0.8%. Please make sure to validate UF Games' kurtosis, day typical price, as well as the relationship between the treynor ratio and standard deviation , to decide if UF Games SA performance from the past will be repeated sooner or later.
Auto-correlation | 0.57 |
Modest predictability
UF Games SA has modest predictability. Overlapping area represents the amount of predictability between UF Games time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 UF Games SA price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current UF Games price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
UF Games SA lagged returns against current returns
Autocorrelation, which is UF Games 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 UF Games' stock expected returns. We can calculate the autocorrelation of UF Games returns to help us make a trade decision. For example, suppose you find that UF Games 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 |
UF Games 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 UF Games stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UF Games stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UF Games stock over time.
Current vs Lagged Prices |
| Timeline |
UF Games Lagged Returns
When evaluating UF Games' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UF Games stock have on its future price. UF Games 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, UF Games autocorrelation shows the relationship between UF Games stock current value and its past values and can show if there is a momentum factor associated with investing in UF Games SA.
Regressed Prices |
| Timeline |
Pair Trading with UF Games
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 UF Games 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 UF Games will appreciate offsetting losses from the drop in the long position's value.Moving together with UFG Stock
Moving against UFG Stock
| 0.82 | UCG | UniCredit SpA | PairCorr |
| 0.68 | CEZ | CEZ as | PairCorr |
| 0.66 | DNP | Dino Polska SA | PairCorr |
| 0.47 | SAN | Banco Santander SA | PairCorr |
The ability to find closely correlated positions to UF Games could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UF Games 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 UF Games - 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 UF Games SA to buy it.
The correlation of UF Games 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 UF Games moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UF Games SA 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 UF Games 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.Additional Tools for UFG Stock Analysis
When running UF Games' price analysis, check to measure UF Games' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy UF Games is operating at the current time. Most of UF Games' value examination focuses on studying past and present price action to predict the probability of UF Games' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UF Games' price. Additionally, you may evaluate how the addition of UF Games to your portfolios can decrease your overall portfolio volatility.