Pakistan Reinsurance (Pakistan) Market Value
| PAKRI Stock | 15.01 0.02 0.13% |
| Symbol | Pakistan |
Pakistan Reinsurance '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 Pakistan Reinsurance'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 Pakistan Reinsurance.
| 12/23/2024 |
| 01/22/2025 |
If you would invest 0.00 in Pakistan Reinsurance on December 23, 2024 and sell it all today you would earn a total of 0.00 from holding Pakistan Reinsurance or generate 0.0% return on investment in Pakistan Reinsurance over 30 days. Pakistan Reinsurance is related to or competes with Century Insurance, Allied Bank, Bank of Punjab, WorldCall Telecom, Adamjee Insurance, and JS Bank. More
Pakistan Reinsurance 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 Pakistan Reinsurance'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 Pakistan Reinsurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.94 | |||
| Information Ratio | 0.1952 | |||
| Maximum Drawdown | 18.12 | |||
| Value At Risk | (4.25) | |||
| Potential Upside | 8.06 |
Pakistan Reinsurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pakistan Reinsurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pakistan Reinsurance's standard deviation. In reality, there are many statistical measures that can use Pakistan Reinsurance historical prices to predict the future Pakistan Reinsurance's volatility.| Risk Adjusted Performance | 0.181 | |||
| Jensen Alpha | 0.7129 | |||
| Total Risk Alpha | 0.6065 | |||
| Sortino Ratio | 0.2352 | |||
| Treynor Ratio | 4.03 |
Pakistan Reinsurance Backtested Returns
Pakistan Reinsurance appears to be somewhat reliable, given 3 months investment horizon. Pakistan Reinsurance maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the firm had a 0.19 % return per unit of risk over the last 3 months. By analyzing Pakistan Reinsurance's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please evaluate Pakistan Reinsurance's Semi Deviation of 2.34, coefficient of variation of 486.62, and Risk Adjusted Performance of 0.181 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Pakistan Reinsurance holds a performance score of 14. The company holds a Beta of 0.18, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pakistan Reinsurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pakistan Reinsurance is expected to be smaller as well. Please check Pakistan Reinsurance's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Pakistan Reinsurance's historical price patterns will revert.
Auto-correlation | 0.49 |
Average predictability
Pakistan Reinsurance has average predictability. Overlapping area represents the amount of predictability between Pakistan Reinsurance time series from 23rd of December 2024 to 7th of January 2025 and 7th of January 2025 to 22nd of January 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 Pakistan Reinsurance price movement. The serial correlation of 0.49 indicates that about 49.0% of current Pakistan Reinsurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Pakistan Reinsurance lagged returns against current returns
Autocorrelation, which is Pakistan Reinsurance 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 Pakistan Reinsurance's stock expected returns. We can calculate the autocorrelation of Pakistan Reinsurance returns to help us make a trade decision. For example, suppose you find that Pakistan Reinsurance 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 |
Pakistan Reinsurance 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 Pakistan Reinsurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pakistan Reinsurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pakistan Reinsurance stock over time.
Current vs Lagged Prices |
| Timeline |
Pakistan Reinsurance Lagged Returns
When evaluating Pakistan Reinsurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pakistan Reinsurance stock have on its future price. Pakistan Reinsurance 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, Pakistan Reinsurance autocorrelation shows the relationship between Pakistan Reinsurance stock current value and its past values and can show if there is a momentum factor associated with investing in Pakistan Reinsurance.
Regressed Prices |
| Timeline |
Pair Trading with Pakistan Reinsurance
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 Pakistan Reinsurance 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 Pakistan Reinsurance will appreciate offsetting losses from the drop in the long position's value.Moving together with Pakistan Stock
The ability to find closely correlated positions to Pakistan Reinsurance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pakistan Reinsurance 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 Pakistan Reinsurance - 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 Pakistan Reinsurance to buy it.
The correlation of Pakistan Reinsurance 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 Pakistan Reinsurance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pakistan Reinsurance 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 Pakistan Reinsurance 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 Pakistan Stock
Pakistan Reinsurance financial ratios help investors to determine whether Pakistan 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 Pakistan with respect to the benefits of owning Pakistan Reinsurance security.