Dogus Otomotiv (Turkey) Market Value
| DOAS Stock | TRY 283.75 8.75 2.99% |
| Symbol | Dogus |
Dogus Otomotiv '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 Dogus Otomotiv'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 Dogus Otomotiv.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Dogus Otomotiv on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Dogus Otomotiv Servis or generate 0.0% return on investment in Dogus Otomotiv over 30 days. Dogus Otomotiv is related to or competes with Trabzon Liman, and Bayrak EBT. Dogus Otomotiv Servis ve Ticaret A.S., together with its subsidiaries, imports, markets, and sells automobiles, passenge... More
Dogus Otomotiv 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 Dogus Otomotiv'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 Dogus Otomotiv Servis upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.93 | |||
| Information Ratio | 0.1332 | |||
| Maximum Drawdown | 14.1 | |||
| Value At Risk | (4.44) | |||
| Potential Upside | 4.91 |
Dogus Otomotiv Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dogus Otomotiv's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dogus Otomotiv's standard deviation. In reality, there are many statistical measures that can use Dogus Otomotiv historical prices to predict the future Dogus Otomotiv's volatility.| Risk Adjusted Performance | 0.1065 | |||
| Jensen Alpha | 0.4883 | |||
| Total Risk Alpha | 0.21 | |||
| Sortino Ratio | 0.1302 | |||
| Treynor Ratio | (0.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dogus Otomotiv'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.
Dogus Otomotiv Servis Backtested Returns
Dogus Otomotiv appears to be very steady, given 3 months investment horizon. Dogus Otomotiv Servis secures Sharpe Ratio (or Efficiency) of 0.0886, which denotes the company had a 0.0886% return per unit of risk over the last 3 months. We have found thirty technical indicators for Dogus Otomotiv Servis, which you can use to evaluate the volatility of the firm. Please utilize Dogus Otomotiv's Downside Deviation of 2.93, mean deviation of 2.19, and Coefficient Of Variation of 649.68 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Dogus Otomotiv holds a performance score of 6. The firm shows a Beta (market volatility) of -1.17, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Dogus Otomotiv are expected to decrease by larger amounts. On the other hand, during market turmoil, Dogus Otomotiv is expected to outperform it. Please check Dogus Otomotiv's semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether Dogus Otomotiv's price patterns will revert.
Auto-correlation | -0.95 |
Near perfect reversele predictability
Dogus Otomotiv Servis has near perfect reversele predictability. Overlapping area represents the amount of predictability between Dogus Otomotiv time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd 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 Dogus Otomotiv Servis price movement. The serial correlation of -0.95 indicates that approximately 95.0% of current Dogus Otomotiv price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.95 | |
| Spearman Rank Test | -0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 520.49 |
Dogus Otomotiv Servis lagged returns against current returns
Autocorrelation, which is Dogus Otomotiv 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 Dogus Otomotiv's stock expected returns. We can calculate the autocorrelation of Dogus Otomotiv returns to help us make a trade decision. For example, suppose you find that Dogus Otomotiv 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 |
Dogus Otomotiv 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 Dogus Otomotiv stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dogus Otomotiv stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dogus Otomotiv stock over time.
Current vs Lagged Prices |
| Timeline |
Dogus Otomotiv Lagged Returns
When evaluating Dogus Otomotiv's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dogus Otomotiv stock have on its future price. Dogus Otomotiv 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, Dogus Otomotiv autocorrelation shows the relationship between Dogus Otomotiv stock current value and its past values and can show if there is a momentum factor associated with investing in Dogus Otomotiv Servis.
Regressed Prices |
| Timeline |
Pair Trading with Dogus Otomotiv
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 Dogus Otomotiv 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 Dogus Otomotiv will appreciate offsetting losses from the drop in the long position's value.Moving against Dogus Stock
| 0.6 | EREGL | Eregli Demir ve | PairCorr |
| 0.56 | ISDMR | Iskenderun Demir | PairCorr |
The ability to find closely correlated positions to Dogus Otomotiv could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dogus Otomotiv 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 Dogus Otomotiv - 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 Dogus Otomotiv Servis to buy it.
The correlation of Dogus Otomotiv 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 Dogus Otomotiv moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dogus Otomotiv Servis 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 Dogus Otomotiv 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 Dogus Otomotiv Correlation, Dogus Otomotiv Volatility and Dogus Otomotiv Alpha and Beta module to complement your research on Dogus Otomotiv. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for Dogus Stock analysis
When running Dogus Otomotiv's price analysis, check to measure Dogus Otomotiv'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 Dogus Otomotiv is operating at the current time. Most of Dogus Otomotiv's value examination focuses on studying past and present price action to predict the probability of Dogus Otomotiv's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dogus Otomotiv's price. Additionally, you may evaluate how the addition of Dogus Otomotiv to your portfolios can decrease your overall portfolio volatility.
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Dogus Otomotiv 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.