Karachi 100's market value is the price at which a share of Karachi 100 trades on a public exchange. It measures the collective expectations of Karachi 100 investors about its performance. Karachi 100 is listed at 99269.25 as of the 28th of November 2024, which is a 4.96% up since the beginning of the trading day. The index's open price was 94574.16. With this module, you can estimate the performance of a buy and hold strategy of Karachi 100 and determine expected loss or profit from investing in Karachi 100 over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Karachi
Karachi 100 '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 Karachi 100's index 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 Karachi 100.
0.00
12/09/2022
No Change 0.00
0.0
In 1 year 11 months and 21 days
11/28/2024
0.00
If you would invest 0.00 in Karachi 100 on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Karachi 100 or generate 0.0% return on investment in Karachi 100 over 720 days.
Karachi 100 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 Karachi 100's index 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 Karachi 100 upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Karachi 100's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Karachi 100's standard deviation. In reality, there are many statistical measures that can use Karachi 100 historical prices to predict the future Karachi 100's volatility.
Karachi 100 has Sharpe Ratio of 0.36, which conveys that the entity had a 0.36% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Karachi 100, which you can use to evaluate the volatility of the index. The index secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and Karachi 100 are completely uncorrelated.
Auto-correlation
0.89
Very good predictability
Karachi 100 has very good predictability. Overlapping area represents the amount of predictability between Karachi 100 time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 Karachi 100 price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current Karachi 100 price fluctuation can be explain by its past prices.
Correlation Coefficient
0.89
Spearman Rank Test
0.83
Residual Average
0.0
Price Variance
92.9 M
Karachi 100 lagged returns against current returns
Autocorrelation, which is Karachi 100 index'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 Karachi 100's index expected returns. We can calculate the autocorrelation of Karachi 100 returns to help us make a trade decision. For example, suppose you find that Karachi 100 has exhibited high autocorrelation historically, and you observe that the index 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
Karachi 100 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 Karachi 100 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Karachi 100 index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Karachi 100 index over time.
Current vs Lagged Prices
Timeline
Karachi 100 Lagged Returns
When evaluating Karachi 100's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Karachi 100 index have on its future price. Karachi 100 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, Karachi 100 autocorrelation shows the relationship between Karachi 100 index current value and its past values and can show if there is a momentum factor associated with investing in Karachi 100.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.