Atlas Menkul (Turkey) Market Value
| ATLAS Stock | TRY 6.11 0.01 0.16% |
| Symbol | Atlas |
Atlas Menkul '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 Atlas Menkul'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 Atlas Menkul.
| 02/17/2024 |
| 05/17/2024 |
If you would invest 0.00 in Atlas Menkul on February 17, 2024 and sell it all today you would earn a total of 0.00 from holding Atlas Menkul Kiymetler or generate 0.0% return on investment in Atlas Menkul over 90 days. Atlas Menkul is related to or competes with Akcansa Cimento, Mackolik Internet, Koza Anadolu, Cuhadaroglu Metal, Gentas Genel, and E Data. Atlas Menkul Kiymetler Yatirim Ortakligi A.S More
Atlas Menkul 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 Atlas Menkul'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 Atlas Menkul Kiymetler upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.88 | |||
| Information Ratio | 0.0709 | |||
| Maximum Drawdown | 16.67 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 5.9 |
Atlas Menkul Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Atlas Menkul's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Atlas Menkul's standard deviation. In reality, there are many statistical measures that can use Atlas Menkul historical prices to predict the future Atlas Menkul's volatility.| Risk Adjusted Performance | 0.0672 | |||
| Jensen Alpha | 0.3679 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0822 | |||
| Treynor Ratio | (0.69) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Atlas Menkul'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.
Atlas Menkul Kiymetler Backtested Returns
Atlas Menkul appears to be moderately volatile, given 3 months investment horizon. Atlas Menkul Kiymetler secures Sharpe Ratio (or Efficiency) of 0.1, which signifies that the company had a 0.1% return per unit of risk over the last 3 months. We have found thirty technical indicators for Atlas Menkul Kiymetler, which you can use to evaluate the volatility of the firm. Please makes use of Atlas Menkul's Downside Deviation of 2.88, mean deviation of 2.41, and Risk Adjusted Performance of 0.0672 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Atlas Menkul holds a performance score of 7. The firm shows a Beta (market volatility) of -0.47, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Atlas Menkul are expected to decrease at a much lower rate. During the bear market, Atlas Menkul is likely to outperform the market. Please check Atlas Menkul's downside variance, and the relationship between the sortino ratio and accumulation distribution , to make a quick decision on whether Atlas Menkul's price patterns will revert.
Auto-correlation | 0.04 |
Virtually no predictability
Atlas Menkul Kiymetler has virtually no predictability. Overlapping area represents the amount of predictability between Atlas Menkul time series from 17th of February 2024 to 2nd of April 2024 and 2nd of April 2024 to 17th 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 Atlas Menkul Kiymetler price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Atlas Menkul price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Atlas Menkul Kiymetler lagged returns against current returns
Autocorrelation, which is Atlas Menkul 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 Atlas Menkul's stock expected returns. We can calculate the autocorrelation of Atlas Menkul returns to help us make a trade decision. For example, suppose you find that Atlas Menkul 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 |
Atlas Menkul 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 Atlas Menkul stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Atlas Menkul stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Atlas Menkul stock over time.
Current vs Lagged Prices |
| Timeline |
Atlas Menkul Lagged Returns
When evaluating Atlas Menkul's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Atlas Menkul stock have on its future price. Atlas Menkul 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, Atlas Menkul autocorrelation shows the relationship between Atlas Menkul stock current value and its past values and can show if there is a momentum factor associated with investing in Atlas Menkul Kiymetler.
Regressed Prices |
| Timeline |
Pair Trading with Atlas Menkul
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 Atlas Menkul 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 Atlas Menkul will appreciate offsetting losses from the drop in the long position's value.Moving together with Atlas Stock
| 0.78 | YKBNK | Yapi ve Kredi | PairCorr |
| 0.75 | GARAN | Turkiye Garanti Bankasi | PairCorr |
| 0.82 | KCHOL | Koc Holding AS | PairCorr |
| 0.84 | ISCTR | Turkiye Is Bankasi Split | PairCorr |
The ability to find closely correlated positions to Atlas Menkul could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Atlas Menkul 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 Atlas Menkul - 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 Atlas Menkul Kiymetler to buy it.
The correlation of Atlas Menkul 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 Atlas Menkul moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Atlas Menkul Kiymetler 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 Atlas Menkul 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.Check out Atlas Menkul Correlation, Atlas Menkul Volatility and Atlas Menkul Alpha and Beta module to complement your research on Atlas Menkul. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Complementary Tools for Atlas Stock analysis
When running Atlas Menkul's price analysis, check to measure Atlas Menkul'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 Atlas Menkul is operating at the current time. Most of Atlas Menkul's value examination focuses on studying past and present price action to predict the probability of Atlas Menkul's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Atlas Menkul's price. Additionally, you may evaluate how the addition of Atlas Menkul to your portfolios can decrease your overall portfolio volatility.
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Atlas Menkul 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.