Media Times (Pakistan) Market Value
| MDTL Stock | 2.71 0.04 1.50% |
| Symbol | Media |
Media Times '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 Media Times' 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 Media Times.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Media Times on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Media Times or generate 0.0% return on investment in Media Times over 720 days. Media Times is related to or competes with Crescent Steel, National Foods, Metropolitan Steel, Engro Polymer, WorldCall Telecom, Hi Tech, and Unilever Pakistan. More
Media Times 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 Media Times' 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 Media Times upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.92 | |||
| Information Ratio | 0.0706 | |||
| Maximum Drawdown | 60.14 | |||
| Value At Risk | (9.76) | |||
| Potential Upside | 11.54 |
Media Times Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Media Times' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Media Times' standard deviation. In reality, there are many statistical measures that can use Media Times historical prices to predict the future Media Times' volatility.| Risk Adjusted Performance | 0.0704 | |||
| Jensen Alpha | 0.458 | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | 0.1168 | |||
| Treynor Ratio | 0.315 |
Media Times Backtested Returns
At this point, Media Times is dangerous. Media Times has Sharpe Ratio of 0.0267, which conveys that the firm had a 0.0267% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Media Times, which you can use to evaluate the volatility of the firm. Please verify Media Times' Downside Deviation of 4.92, risk adjusted performance of 0.0704, and Mean Deviation of 5.09 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. Media Times has a performance score of 2 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 2.15, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Media Times will likely underperform. Media Times right now secures a risk of 5.53%. Please verify Media Times coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if Media Times will be following its current price movements.
Auto-correlation | -0.37 |
Poor reverse predictability
Media Times has poor reverse predictability. Overlapping area represents the amount of predictability between Media Times time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th 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 Media Times price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Media Times price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Media Times lagged returns against current returns
Autocorrelation, which is Media Times 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 Media Times' stock expected returns. We can calculate the autocorrelation of Media Times returns to help us make a trade decision. For example, suppose you find that Media Times 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 |
Media Times 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 Media Times stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Media Times stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Media Times stock over time.
Current vs Lagged Prices |
| Timeline |
Media Times Lagged Returns
When evaluating Media Times' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Media Times stock have on its future price. Media Times 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, Media Times autocorrelation shows the relationship between Media Times stock current value and its past values and can show if there is a momentum factor associated with investing in Media Times.
Regressed Prices |
| Timeline |
Pair Trading with Media Times
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 Media Times 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 Media Times will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Media Times could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Media Times 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 Media Times - 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 Media Times to buy it.
The correlation of Media Times 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 Media Times moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Media Times 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 Media Times 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.Other Information on Investing in Media Stock
Media Times financial ratios help investors to determine whether Media Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Media with respect to the benefits of owning Media Times security.