Pakistan National (Pakistan) Market Value
| PNSC Stock | 449.31 10.12 2.20% |
| Symbol | Pakistan |
Pakistan National '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 National'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 National.
| 01/25/2023 |
| 12/15/2024 |
If you would invest 0.00 in Pakistan National on January 25, 2023 and sell it all today you would earn a total of 0.00 from holding Pakistan National Shipping or generate 0.0% return on investment in Pakistan National over 690 days.
Pakistan National 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 National'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 National Shipping upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.67 | |||
| Information Ratio | 0.3122 | |||
| Maximum Drawdown | 19.54 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 10.0 |
Pakistan National Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pakistan National's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pakistan National's standard deviation. In reality, there are many statistical measures that can use Pakistan National historical prices to predict the future Pakistan National's volatility.| Risk Adjusted Performance | 0.252 | |||
| Jensen Alpha | 1.45 | |||
| Total Risk Alpha | 0.8724 | |||
| Sortino Ratio | 0.4869 | |||
| Treynor Ratio | (2.03) |
Pakistan National Backtested Returns
Pakistan National is very steady given 3 months investment horizon. Pakistan National maintains Sharpe Ratio (i.e., Efficiency) of 0.33, which implies the firm had a 0.33% return per unit of risk over the last 3 months. We were able to analyze thirty different technical indicators, which can help you to evaluate if expected returns of 1.4% are justified by taking the suggested risk. Use Pakistan National Semi Deviation of 1.73, risk adjusted performance of 0.252, and Coefficient Of Variation of 297.44 to evaluate company specific risk that cannot be diversified away. Pakistan National holds a performance score of 26 on a scale of zero to a hundred. The company holds a Beta of -0.68, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Pakistan National are expected to decrease at a much lower rate. During the bear market, Pakistan National is likely to outperform the market. Use Pakistan National total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to analyze future returns on Pakistan National.
Auto-correlation | 0.93 |
Excellent predictability
Pakistan National Shipping has excellent predictability. Overlapping area represents the amount of predictability between Pakistan National time series from 25th of January 2023 to 5th of January 2024 and 5th of January 2024 to 15th 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 Pakistan National price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Pakistan National price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 4090.16 |
Pakistan National lagged returns against current returns
Autocorrelation, which is Pakistan National 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 National's stock expected returns. We can calculate the autocorrelation of Pakistan National returns to help us make a trade decision. For example, suppose you find that Pakistan National 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 National 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 National stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pakistan National stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pakistan National stock over time.
Current vs Lagged Prices |
| Timeline |
Pakistan National Lagged Returns
When evaluating Pakistan National's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pakistan National stock have on its future price. Pakistan National 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 National autocorrelation shows the relationship between Pakistan National stock current value and its past values and can show if there is a momentum factor associated with investing in Pakistan National Shipping.
Regressed Prices |
| Timeline |
Pair Trading with Pakistan National
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 National 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 National will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Pakistan National 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 National 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 National - 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 National Shipping to buy it.
The correlation of Pakistan National 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 National moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pakistan National 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 National 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.