Int Packaging (Pakistan) Market Value
| IPAK Stock | 29.85 0.03 0.10% |
| Symbol | Int |
Int Packaging '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 Int Packaging'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 Int Packaging.
| 01/09/2024 |
| 12/29/2025 |
If you would invest 0.00 in Int Packaging on January 9, 2024 and sell it all today you would earn a total of 0.00 from holding Int Packaging Films or generate 0.0% return on investment in Int Packaging over 720 days.
Int Packaging 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 Int Packaging'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 Int Packaging Films upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.87 | |||
| Information Ratio | 0.092 | |||
| Maximum Drawdown | 12.05 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 4.59 |
Int Packaging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Int Packaging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Int Packaging's standard deviation. In reality, there are many statistical measures that can use Int Packaging historical prices to predict the future Int Packaging's volatility.| Risk Adjusted Performance | 0.0981 | |||
| Jensen Alpha | 0.2492 | |||
| Total Risk Alpha | 0.0411 | |||
| Sortino Ratio | 0.1101 | |||
| Treynor Ratio | 0.66 |
Int Packaging Films Backtested Returns
Int Packaging appears to be very steady, given 3 months investment horizon. Int Packaging Films holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Int Packaging Films, which you can use to evaluate the volatility of the firm. Please utilize Int Packaging's Downside Deviation of 1.87, market risk adjusted performance of 0.67, and Risk Adjusted Performance of 0.0981 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Int Packaging holds a performance score of 10. The company retains a Market Volatility (i.e., Beta) of 0.43, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Int Packaging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Int Packaging is expected to be smaller as well. Please check Int Packaging's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to make a quick decision on whether Int Packaging's current trending patterns will revert.
Auto-correlation | 0.24 |
Weak predictability
Int Packaging Films has weak predictability. Overlapping area represents the amount of predictability between Int Packaging time series from 9th of January 2024 to 3rd of January 2025 and 3rd of January 2025 to 29th of December 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 Int Packaging Films price movement. The serial correlation of 0.24 indicates that over 24.0% of current Int Packaging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.96 |
Int Packaging Films lagged returns against current returns
Autocorrelation, which is Int Packaging 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 Int Packaging's stock expected returns. We can calculate the autocorrelation of Int Packaging returns to help us make a trade decision. For example, suppose you find that Int Packaging 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 |
Int Packaging 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 Int Packaging stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Int Packaging stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Int Packaging stock over time.
Current vs Lagged Prices |
| Timeline |
Int Packaging Lagged Returns
When evaluating Int Packaging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Int Packaging stock have on its future price. Int Packaging 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, Int Packaging autocorrelation shows the relationship between Int Packaging stock current value and its past values and can show if there is a momentum factor associated with investing in Int Packaging Films.
Regressed Prices |
| Timeline |
Pair Trading with Int Packaging
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 Int Packaging 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 Int Packaging will appreciate offsetting losses from the drop in the long position's value.Moving together with Int Stock
Moving against Int Stock
The ability to find closely correlated positions to Int Packaging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Int Packaging 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 Int Packaging - 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 Int Packaging Films to buy it.
The correlation of Int Packaging 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 Int Packaging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Int Packaging Films 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 Int Packaging 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.