Pakistan Oilfields (Pakistan) Market Value
| POL Stock | 573.79 0.62 0.11% |
| Symbol | Pakistan |
Pakistan Oilfields '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 Oilfields' 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 Oilfields.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Pakistan Oilfields on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Pakistan Oilfields or generate 0.0% return on investment in Pakistan Oilfields over 30 days. Pakistan Oilfields is related to or competes with IBL HealthCare, Pak Datacom, Sindh Modaraba, Shaheen Insurance, and WorldCall Telecom. More
Pakistan Oilfields 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 Oilfields' 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 Oilfields upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 8.33 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 2.4 |
Pakistan Oilfields Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pakistan Oilfields' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pakistan Oilfields' standard deviation. In reality, there are many statistical measures that can use Pakistan Oilfields historical prices to predict the future Pakistan Oilfields' volatility.| Risk Adjusted Performance | 0.0747 | |||
| Jensen Alpha | 0.1071 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (8.96) |
Pakistan Oilfields Backtested Returns
Currently, Pakistan Oilfields is very steady. Pakistan Oilfields maintains Sharpe Ratio (i.e., Efficiency) of 0.0937, which implies the firm had a 0.0937% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Pakistan Oilfields, which you can use to evaluate the volatility of the company. Please check Pakistan Oilfields' Semi Deviation of 1.02, risk adjusted performance of 0.0747, and Coefficient Of Variation of 1079.73 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. Pakistan Oilfields has a performance score of 7 on a scale of 0 to 100. The company holds a Beta of -0.0118, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Pakistan Oilfields are expected to decrease at a much lower rate. During the bear market, Pakistan Oilfields is likely to outperform the market. Pakistan Oilfields right now holds a risk of 1.28%. Please check Pakistan Oilfields maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to decide if Pakistan Oilfields will be following its historical price patterns.
Auto-correlation | -0.26 |
Weak reverse predictability
Pakistan Oilfields has weak reverse predictability. Overlapping area represents the amount of predictability between Pakistan Oilfields time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Oilfields price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Pakistan Oilfields price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 6.94 |
Pakistan Oilfields lagged returns against current returns
Autocorrelation, which is Pakistan Oilfields 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 Oilfields' stock expected returns. We can calculate the autocorrelation of Pakistan Oilfields returns to help us make a trade decision. For example, suppose you find that Pakistan Oilfields 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 Oilfields 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 Oilfields stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pakistan Oilfields stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pakistan Oilfields stock over time.
Current vs Lagged Prices |
| Timeline |
Pakistan Oilfields Lagged Returns
When evaluating Pakistan Oilfields' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pakistan Oilfields stock have on its future price. Pakistan Oilfields 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 Oilfields autocorrelation shows the relationship between Pakistan Oilfields stock current value and its past values and can show if there is a momentum factor associated with investing in Pakistan Oilfields.
Regressed Prices |
| Timeline |
Pair Trading with Pakistan Oilfields
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 Oilfields 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 Oilfields 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 Oilfields 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 Oilfields 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 Oilfields - 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 Oilfields to buy it.
The correlation of Pakistan Oilfields 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 Oilfields moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pakistan Oilfields 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 Oilfields 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.Additional Tools for Pakistan Stock Analysis
When running Pakistan Oilfields' price analysis, check to measure Pakistan Oilfields' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pakistan Oilfields is operating at the current time. Most of Pakistan Oilfields' value examination focuses on studying past and present price action to predict the probability of Pakistan Oilfields' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pakistan Oilfields' price. Additionally, you may evaluate how the addition of Pakistan Oilfields to your portfolios can decrease your overall portfolio volatility.