John Keells (Sri Lanka) Market Value
| KHLN0000 | 20.20 0.50 2.54% |
| Symbol | John |
Please note, there is a significant difference between John Keells' value and its price as these two are different measures arrived at by different means. Investors typically determine if John Keells is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, John Keells' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
John Keells '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 John Keells' 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 John Keells.
| 12/18/2024 |
| 03/18/2025 |
If you would invest 0.00 in John Keells on December 18, 2024 and sell it all today you would earn a total of 0.00 from holding John Keells Hotels or generate 0.0% return on investment in John Keells over 90 days. More
John Keells 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 John Keells' 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 John Keells Hotels upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.88 | |||
| Information Ratio | 0.1067 | |||
| Maximum Drawdown | 12.35 | |||
| Value At Risk | (2.39) | |||
| Potential Upside | 5.06 |
John Keells Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for John Keells' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as John Keells' standard deviation. In reality, there are many statistical measures that can use John Keells historical prices to predict the future John Keells' volatility.| Risk Adjusted Performance | 0.0608 | |||
| Jensen Alpha | 0.1603 | |||
| Total Risk Alpha | 0.4144 | |||
| Sortino Ratio | 0.1284 | |||
| Treynor Ratio | 0.5042 |
John Keells Hotels Backtested Returns
At this point, John Keells is very steady. John Keells Hotels holds Efficiency (Sharpe) Ratio of 0.0493, which attests that the entity had a 0.0493 % return per unit of risk over the last 3 months. We have found thirty technical indicators for John Keells Hotels, which you can use to evaluate the volatility of the firm. Please check out John Keells' Risk Adjusted Performance of 0.0608, downside deviation of 1.88, and Market Risk Adjusted Performance of 0.5142 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. John Keells has a performance score of 3 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.26, which attests to not very significant fluctuations relative to the market. As returns on the market increase, John Keells' returns are expected to increase less than the market. However, during the bear market, the loss of holding John Keells is expected to be smaller as well. John Keells Hotels right now retains a risk of 2.41%. Please check out John Keells standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if John Keells will be following its current trending patterns.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
John Keells Hotels has almost perfect reverse predictability. Overlapping area represents the amount of predictability between John Keells time series from 18th of December 2024 to 1st of February 2025 and 1st of February 2025 to 18th of March 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 John Keells Hotels price movement. The serial correlation of -0.8 indicates that around 80.0% of current John Keells price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
John Keells Hotels lagged returns against current returns
Autocorrelation, which is John Keells 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 John Keells' stock expected returns. We can calculate the autocorrelation of John Keells returns to help us make a trade decision. For example, suppose you find that John Keells 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 |
John Keells 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 John Keells stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if John Keells stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in John Keells stock over time.
Current vs Lagged Prices |
| Timeline |
John Keells Lagged Returns
When evaluating John Keells' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of John Keells stock have on its future price. John Keells 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, John Keells autocorrelation shows the relationship between John Keells stock current value and its past values and can show if there is a momentum factor associated with investing in John Keells Hotels.
Regressed Prices |
| Timeline |
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John Keells financial ratios help investors to determine whether John 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 John with respect to the benefits of owning John Keells security.