Sigiriya Village (Sri Lanka) Market Value
| SIGVN0000 | LKR 65.10 2.60 4.16% |
| Symbol | Sigiriya |
Please note, there is a significant difference between Sigiriya Village's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sigiriya Village is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sigiriya Village's 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.
Sigiriya Village '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 Sigiriya Village'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 Sigiriya Village.
| 09/13/2024 |
| 12/12/2024 |
If you would invest 0.00 in Sigiriya Village on September 13, 2024 and sell it all today you would earn a total of 0.00 from holding Sigiriya Village Hotels or generate 0.0% return on investment in Sigiriya Village over 90 days. More
Sigiriya Village 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 Sigiriya Village'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 Sigiriya Village Hotels upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.48 | |||
| Information Ratio | 0.3452 | |||
| Maximum Drawdown | 10.72 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 6.25 |
Sigiriya Village Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sigiriya Village's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sigiriya Village's standard deviation. In reality, there are many statistical measures that can use Sigiriya Village historical prices to predict the future Sigiriya Village's volatility.| Risk Adjusted Performance | 0.288 | |||
| Jensen Alpha | 1.23 | |||
| Total Risk Alpha | 0.6542 | |||
| Sortino Ratio | 0.4027 | |||
| Treynor Ratio | (1.09) |
Sigiriya Village Hotels Backtested Returns
Sigiriya Village is very steady given 3 months investment horizon. Sigiriya Village Hotels owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.41, which indicates the firm had a 0.41% return per unit of risk over the last 3 months. We were able to interpolate twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.2% are justified by taking the suggested risk. Use Sigiriya Village Hotels Risk Adjusted Performance of 0.288, coefficient of variation of 257.55, and Semi Deviation of 1.59 to evaluate company specific risk that cannot be diversified away. Sigiriya Village holds a performance score of 32 on a scale of zero to a hundred. The entity has a beta of -1.02, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Sigiriya Village are expected to decrease slowly. On the other hand, during market turmoil, Sigiriya Village is expected to outperform it slightly. Use Sigiriya Village Hotels downside variance, and the relationship between the sortino ratio and accumulation distribution , to analyze future returns on Sigiriya Village Hotels.
Auto-correlation | 0.74 |
Good predictability
Sigiriya Village Hotels has good predictability. Overlapping area represents the amount of predictability between Sigiriya Village time series from 13th of September 2024 to 28th of October 2024 and 28th of October 2024 to 12th 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 Sigiriya Village Hotels price movement. The serial correlation of 0.74 indicates that around 74.0% of current Sigiriya Village price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 70.01 |
Sigiriya Village Hotels lagged returns against current returns
Autocorrelation, which is Sigiriya Village 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 Sigiriya Village's stock expected returns. We can calculate the autocorrelation of Sigiriya Village returns to help us make a trade decision. For example, suppose you find that Sigiriya Village 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 |
Sigiriya Village 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 Sigiriya Village stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sigiriya Village stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sigiriya Village stock over time.
Current vs Lagged Prices |
| Timeline |
Sigiriya Village Lagged Returns
When evaluating Sigiriya Village's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sigiriya Village stock have on its future price. Sigiriya Village 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, Sigiriya Village autocorrelation shows the relationship between Sigiriya Village stock current value and its past values and can show if there is a momentum factor associated with investing in Sigiriya Village Hotels.
Regressed Prices |
| Timeline |
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Sigiriya Village financial ratios help investors to determine whether Sigiriya 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 Sigiriya with respect to the benefits of owning Sigiriya Village security.