Asia Insurance (Pakistan) Market Value
| ASIC Stock | 19.00 0.90 4.97% |
| Symbol | Asia |
Asia 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 Asia 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 Asia Insurance.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Asia Insurance on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding Asia Insurance or generate 0.0% return on investment in Asia Insurance over 90 days.
Asia 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 Asia 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 Asia Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.99 | |||
| Information Ratio | 0.0856 | |||
| Maximum Drawdown | 19.81 | |||
| Value At Risk | (9.51) | |||
| Potential Upside | 9.7 |
Asia Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Asia Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Asia Insurance's standard deviation. In reality, there are many statistical measures that can use Asia Insurance historical prices to predict the future Asia Insurance's volatility.| Risk Adjusted Performance | 0.1209 | |||
| Jensen Alpha | 0.4293 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0422 | |||
| Treynor Ratio | 1.58 |
Asia Insurance Backtested Returns
Asia Insurance is not too volatile given 3 months investment horizon. Asia Insurance secures Sharpe Ratio (or Efficiency) of 0.48, which signifies that the company had a 0.48 % return per unit of risk over the last 3 months. We were able to analyze twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.67% are justified by taking the suggested risk. Use Asia Insurance Downside Deviation of 7.99, risk adjusted performance of 0.1209, and Mean Deviation of 2.14 to evaluate company specific risk that cannot be diversified away. Asia Insurance holds a performance score of 38 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.3, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Asia Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Asia Insurance is expected to be smaller as well. Use Asia Insurance downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to analyze future returns on Asia Insurance.
Auto-correlation | 0.59 |
Modest predictability
Asia Insurance has modest predictability. Overlapping area represents the amount of predictability between Asia Insurance time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Asia Insurance price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Asia Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.41 |
Asia Insurance lagged returns against current returns
Autocorrelation, which is Asia 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 Asia Insurance's stock expected returns. We can calculate the autocorrelation of Asia Insurance returns to help us make a trade decision. For example, suppose you find that Asia 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 |
Asia 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 Asia Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Asia Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Asia Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Asia Insurance Lagged Returns
When evaluating Asia Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Asia Insurance stock have on its future price. Asia 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, Asia Insurance autocorrelation shows the relationship between Asia Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Asia Insurance.
Regressed Prices |
| Timeline |
Pair Trading with Asia 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 Asia 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 Asia Insurance will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Asia 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 Asia 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 Asia 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 Asia Insurance to buy it.
The correlation of Asia 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 Asia Insurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Asia 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 Asia 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.