Seker Finansal (Turkey) Market Value
| SEKFK Stock | TRY 10.09 0.02 0.20% |
| Symbol | Seker |
Seker Finansal '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 Seker Finansal'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 Seker Finansal.
| 03/04/2024 |
| 06/02/2024 |
If you would invest 0.00 in Seker Finansal on March 4, 2024 and sell it all today you would earn a total of 0.00 from holding Seker Finansal Kiralama or generate 0.0% return on investment in Seker Finansal over 90 days. Seker Finansal is related to or competes with Turkiye Petrol, Turkiye Sise, Qnb Finansbank, Eregli Demir, Koc Holding, and Turkiye Is. The company was founded in 1997 and is headquartered in Istanbul, Turkey More
Seker Finansal 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 Seker Finansal'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 Seker Finansal Kiralama upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.67 | |||
| Information Ratio | 0.0452 | |||
| Maximum Drawdown | 19.94 | |||
| Value At Risk | (5.13) | |||
| Potential Upside | 9.85 |
Seker Finansal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Seker Finansal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Seker Finansal's standard deviation. In reality, there are many statistical measures that can use Seker Finansal historical prices to predict the future Seker Finansal's volatility.| Risk Adjusted Performance | 0.0437 | |||
| Jensen Alpha | 0.2279 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0496 | |||
| Treynor Ratio | (0.75) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Seker Finansal'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.
Seker Finansal Kiralama Backtested Returns
Seker Finansal appears to be slightly risky, given 3 months investment horizon. Seker Finansal Kiralama owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0507, which indicates the firm had a 0.0507% return per unit of risk over the last 3 months. We have found thirty technical indicators for Seker Finansal Kiralama, which you can use to evaluate the volatility of the company. Please review Seker Finansal's Risk Adjusted Performance of 0.0437, semi deviation of 3.42, and Coefficient Of Variation of 1772.66 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Seker Finansal holds a performance score of 3. The entity has a beta of -0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Seker Finansal are expected to decrease at a much lower rate. During the bear market, Seker Finansal is likely to outperform the market. Please check Seker Finansal's treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to make a quick decision on whether Seker Finansal's existing price patterns will revert.
Auto-correlation | -0.68 |
Very good reverse predictability
Seker Finansal Kiralama has very good reverse predictability. Overlapping area represents the amount of predictability between Seker Finansal time series from 4th of March 2024 to 18th of April 2024 and 18th of April 2024 to 2nd of June 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 Seker Finansal Kiralama price movement. The serial correlation of -0.68 indicates that around 68.0% of current Seker Finansal price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 1.01 |
Seker Finansal Kiralama lagged returns against current returns
Autocorrelation, which is Seker Finansal 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 Seker Finansal's stock expected returns. We can calculate the autocorrelation of Seker Finansal returns to help us make a trade decision. For example, suppose you find that Seker Finansal 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 |
Seker Finansal 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 Seker Finansal stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Seker Finansal stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Seker Finansal stock over time.
Current vs Lagged Prices |
| Timeline |
Seker Finansal Lagged Returns
When evaluating Seker Finansal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Seker Finansal stock have on its future price. Seker Finansal 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, Seker Finansal autocorrelation shows the relationship between Seker Finansal stock current value and its past values and can show if there is a momentum factor associated with investing in Seker Finansal Kiralama.
Regressed Prices |
| Timeline |
Pair Trading with Seker Finansal
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 Seker Finansal 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 Seker Finansal will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Seker Finansal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Seker Finansal 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 Seker Finansal - 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 Seker Finansal Kiralama to buy it.
The correlation of Seker Finansal 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 Seker Finansal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Seker Finansal Kiralama 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 Seker Finansal 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 Seker Finansal Correlation, Seker Finansal Volatility and Seker Finansal Alpha and Beta module to complement your research on Seker Finansal. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for Seker Stock analysis
When running Seker Finansal's price analysis, check to measure Seker Finansal'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 Seker Finansal is operating at the current time. Most of Seker Finansal's value examination focuses on studying past and present price action to predict the probability of Seker Finansal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Seker Finansal's price. Additionally, you may evaluate how the addition of Seker Finansal to your portfolios can decrease your overall portfolio volatility.
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Seker Finansal 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.