Yellow Cake (Germany) Market Value
| 0LZ Stock | EUR 7.52 0.26 3.34% |
| Symbol | Yellow |
Yellow Cake '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 Yellow Cake'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 Yellow Cake.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Yellow Cake on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Yellow Cake plc or generate 0.0% return on investment in Yellow Cake over 30 days. Yellow Cake is related to or competes with ARROW ELECTRONICS, Gaztransport Technigaz, GOLD ROAD, QUEEN S, NTG Nordic, BYD ELECTRONIC, and TRAINLINE PLC. More
Yellow Cake 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 Yellow Cake'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 Yellow Cake plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 13.54 | |||
| Value At Risk | (5.37) | |||
| Potential Upside | 5.84 |
Yellow Cake Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Yellow Cake's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Yellow Cake's standard deviation. In reality, there are many statistical measures that can use Yellow Cake historical prices to predict the future Yellow Cake's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | (0.40) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Yellow Cake's 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.
Yellow Cake plc Backtested Returns
Yellow Cake plc shows Sharpe Ratio of -0.0415, which attests that the company had a -0.0415% return per unit of risk over the last 3 months. Yellow Cake plc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Yellow Cake's Mean Deviation of 3.03, standard deviation of 3.69, and Market Risk Adjusted Performance of (0.39) to validate the risk estimate we provide. The firm maintains a market beta of 0.41, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Yellow Cake's returns are expected to increase less than the market. However, during the bear market, the loss of holding Yellow Cake is expected to be smaller as well. Yellow Cake plc has an expected return of -0.15%. Please make sure to check out Yellow Cake plc standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Yellow Cake plc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.39 |
Below average predictability
Yellow Cake plc has below average predictability. Overlapping area represents the amount of predictability between Yellow Cake time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Yellow Cake plc price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Yellow Cake price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Yellow Cake plc lagged returns against current returns
Autocorrelation, which is Yellow Cake 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 Yellow Cake's stock expected returns. We can calculate the autocorrelation of Yellow Cake returns to help us make a trade decision. For example, suppose you find that Yellow Cake 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 |
Yellow Cake 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 Yellow Cake stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Yellow Cake stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Yellow Cake stock over time.
Current vs Lagged Prices |
| Timeline |
Yellow Cake Lagged Returns
When evaluating Yellow Cake's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Yellow Cake stock have on its future price. Yellow Cake 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, Yellow Cake autocorrelation shows the relationship between Yellow Cake stock current value and its past values and can show if there is a momentum factor associated with investing in Yellow Cake plc.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Yellow Cake in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Yellow Cake's short interest history, or implied volatility extrapolated from Yellow Cake options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Yellow Cake Correlation, Yellow Cake Volatility and Yellow Cake Alpha and Beta module to complement your research on Yellow Cake. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for Yellow Stock analysis
When running Yellow Cake's price analysis, check to measure Yellow Cake's 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 Yellow Cake is operating at the current time. Most of Yellow Cake's value examination focuses on studying past and present price action to predict the probability of Yellow Cake's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Yellow Cake's price. Additionally, you may evaluate how the addition of Yellow Cake to your portfolios can decrease your overall portfolio volatility.
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Yellow Cake technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.