Lubelski Wegiel (Poland) Market Value
| LWB Stock | 22.90 0.66 2.80% |
| Symbol | Lubelski |
Lubelski Wegiel '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 Lubelski Wegiel'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 Lubelski Wegiel.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Lubelski Wegiel on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Lubelski Wegiel Bogdanka or generate 0.0% return on investment in Lubelski Wegiel over 30 days. Lubelski Wegiel is related to or competes with Clean Carbon, and E Xim. More
Lubelski Wegiel 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 Lubelski Wegiel'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 Lubelski Wegiel Bogdanka upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 9.99 | |||
| Value At Risk | (3.77) | |||
| Potential Upside | 4.36 |
Lubelski Wegiel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lubelski Wegiel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lubelski Wegiel's standard deviation. In reality, there are many statistical measures that can use Lubelski Wegiel historical prices to predict the future Lubelski Wegiel's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | 0.5083 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lubelski Wegiel'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.
Lubelski Wegiel Bogdanka Backtested Returns
Lubelski Wegiel Bogdanka has Sharpe Ratio of -0.0248, which conveys that the firm had a -0.0248% return per unit of risk over the last 3 months. Lubelski Wegiel exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Lubelski Wegiel's Mean Deviation of 1.89, standard deviation of 2.42, and Risk Adjusted Performance of (0.01) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Lubelski Wegiel are expected to decrease at a much lower rate. During the bear market, Lubelski Wegiel is likely to outperform the market. At this point, Lubelski Wegiel Bogdanka has a negative expected return of -0.0595%. Please make sure to verify Lubelski Wegiel's jensen alpha, accumulation distribution, relative strength index, as well as the relationship between the value at risk and day typical price , to decide if Lubelski Wegiel Bogdanka performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.46 |
Average predictability
Lubelski Wegiel Bogdanka has average predictability. Overlapping area represents the amount of predictability between Lubelski Wegiel time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Lubelski Wegiel Bogdanka price movement. The serial correlation of 0.46 indicates that about 46.0% of current Lubelski Wegiel price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
Lubelski Wegiel Bogdanka lagged returns against current returns
Autocorrelation, which is Lubelski Wegiel 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 Lubelski Wegiel's stock expected returns. We can calculate the autocorrelation of Lubelski Wegiel returns to help us make a trade decision. For example, suppose you find that Lubelski Wegiel 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 |
Lubelski Wegiel 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 Lubelski Wegiel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lubelski Wegiel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lubelski Wegiel stock over time.
Current vs Lagged Prices |
| Timeline |
Lubelski Wegiel Lagged Returns
When evaluating Lubelski Wegiel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lubelski Wegiel stock have on its future price. Lubelski Wegiel 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, Lubelski Wegiel autocorrelation shows the relationship between Lubelski Wegiel stock current value and its past values and can show if there is a momentum factor associated with investing in Lubelski Wegiel Bogdanka.
Regressed Prices |
| Timeline |
Pair Trading with Lubelski Wegiel
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 Lubelski Wegiel 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 Lubelski Wegiel will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Lubelski Wegiel could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lubelski Wegiel 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 Lubelski Wegiel - 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 Lubelski Wegiel Bogdanka to buy it.
The correlation of Lubelski Wegiel 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 Lubelski Wegiel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lubelski Wegiel Bogdanka 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 Lubelski Wegiel 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 Lubelski Stock Analysis
When running Lubelski Wegiel's price analysis, check to measure Lubelski Wegiel'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 Lubelski Wegiel is operating at the current time. Most of Lubelski Wegiel's value examination focuses on studying past and present price action to predict the probability of Lubelski Wegiel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lubelski Wegiel's price. Additionally, you may evaluate how the addition of Lubelski Wegiel to your portfolios can decrease your overall portfolio volatility.