Atlas Insurance (Pakistan) Market Value
| ATIL Stock | 60.41 1.87 3.19% |
| Symbol | Atlas |
Atlas Insurance '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 Insurance'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 Insurance.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Atlas Insurance on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Atlas Insurance or generate 0.0% return on investment in Atlas Insurance over 30 days. Atlas Insurance is related to or competes with Masood Textile, Fauji Foods, KSB Pumps, Mari Petroleum, Loads, Thatta Cement, and KOT Addu. More
Atlas Insurance 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 Insurance'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 Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.59 | |||
| Information Ratio | 0.2454 | |||
| Maximum Drawdown | 8.63 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 4.37 |
Atlas Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Atlas Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Atlas Insurance's standard deviation. In reality, there are many statistical measures that can use Atlas Insurance historical prices to predict the future Atlas Insurance's volatility.| Risk Adjusted Performance | 0.2296 | |||
| Jensen Alpha | 0.5806 | |||
| Total Risk Alpha | 0.2842 | |||
| Sortino Ratio | 0.3014 | |||
| Treynor Ratio | 5.31 |
Atlas Insurance Backtested Returns
Atlas Insurance appears to be very steady, given 3 months investment horizon. Atlas Insurance secures Sharpe Ratio (or Efficiency) of 0.35, which signifies that the company had a 0.35% return per unit of risk over the last 3 months. By analyzing Atlas Insurance's technical indicators, you can evaluate if the expected return of 0.7% is justified by implied risk. Please makes use of Atlas Insurance's Mean Deviation of 1.52, downside deviation of 1.59, and Risk Adjusted Performance of 0.2296 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Atlas Insurance holds a performance score of 27. The firm shows a Beta (market volatility) of 0.11, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Atlas Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Atlas Insurance is expected to be smaller as well. Please check Atlas Insurance's coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Atlas Insurance's price patterns will revert.
Auto-correlation | 0.79 |
Good predictability
Atlas Insurance has good predictability. Overlapping area represents the amount of predictability between Atlas Insurance time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 Atlas Insurance price movement. The serial correlation of 0.79 indicates that around 79.0% of current Atlas Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 3.88 |
Atlas Insurance lagged returns against current returns
Autocorrelation, which is Atlas Insurance 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 Insurance's stock expected returns. We can calculate the autocorrelation of Atlas Insurance returns to help us make a trade decision. For example, suppose you find that Atlas Insurance 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 Insurance 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 Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Atlas Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Atlas Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Atlas Insurance Lagged Returns
When evaluating Atlas Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Atlas Insurance stock have on its future price. Atlas Insurance 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 Insurance autocorrelation shows the relationship between Atlas Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Atlas Insurance.
Regressed Prices |
| Timeline |
Pair Trading with Atlas Insurance
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 Insurance 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 Insurance will appreciate offsetting losses from the drop in the long position's value.Moving together with Atlas Stock
Moving against Atlas Stock
The ability to find closely correlated positions to Atlas Insurance 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 Insurance 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 Insurance - 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 Insurance to buy it.
The correlation of Atlas Insurance 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 Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Atlas Insurance 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 Insurance 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 Atlas Stock
Atlas Insurance financial ratios help investors to determine whether Atlas 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 Atlas with respect to the benefits of owning Atlas Insurance security.