Browns Beach (Sri Lanka) Market Value
| BBHN0000 | LKR 19.20 0.60 3.23% |
| Symbol | Browns |
Please note, there is a significant difference between Browns Beach's value and its price as these two are different measures arrived at by different means. Investors typically determine if Browns Beach is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Browns Beach'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.
Browns Beach '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 Browns Beach'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 Browns Beach.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Browns Beach on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Browns Beach Hotels or generate 0.0% return on investment in Browns Beach over 720 days. More
Browns Beach 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 Browns Beach'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 Browns Beach Hotels upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.77 | |||
| Information Ratio | 0.1295 | |||
| Maximum Drawdown | 15.51 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 7.91 |
Browns Beach Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Browns Beach's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Browns Beach's standard deviation. In reality, there are many statistical measures that can use Browns Beach historical prices to predict the future Browns Beach's volatility.| Risk Adjusted Performance | 0.1262 | |||
| Jensen Alpha | 0.5881 | |||
| Total Risk Alpha | 0.0663 | |||
| Sortino Ratio | 0.1558 | |||
| Treynor Ratio | (1.00) |
Browns Beach Hotels Backtested Returns
Browns Beach appears to be somewhat reliable, given 3 months investment horizon. Browns Beach Hotels secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the company had a 0.23% return per unit of risk over the last 3 months. By analyzing Browns Beach's technical indicators, you can evaluate if the expected return of 0.72% is justified by implied risk. Please makes use of Browns Beach's Mean Deviation of 2.29, downside deviation of 2.77, and Risk Adjusted Performance of 0.1262 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Browns Beach holds a performance score of 18. The firm shows a Beta (market volatility) of -0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Browns Beach are expected to decrease at a much lower rate. During the bear market, Browns Beach is likely to outperform the market. Please check Browns Beach's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Browns Beach's price patterns will revert.
Auto-correlation | 0.02 |
Virtually no predictability
Browns Beach Hotels has virtually no predictability. Overlapping area represents the amount of predictability between Browns Beach time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th 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 Browns Beach Hotels price movement. The serial correlation of 0.02 indicates that only 2.0% of current Browns Beach price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.83 |
Browns Beach Hotels lagged returns against current returns
Autocorrelation, which is Browns Beach 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 Browns Beach's stock expected returns. We can calculate the autocorrelation of Browns Beach returns to help us make a trade decision. For example, suppose you find that Browns Beach 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 |
Browns Beach 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 Browns Beach stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Browns Beach stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Browns Beach stock over time.
Current vs Lagged Prices |
| Timeline |
Browns Beach Lagged Returns
When evaluating Browns Beach's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Browns Beach stock have on its future price. Browns Beach 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, Browns Beach autocorrelation shows the relationship between Browns Beach stock current value and its past values and can show if there is a momentum factor associated with investing in Browns Beach Hotels.
Regressed Prices |
| Timeline |
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Browns Beach financial ratios help investors to determine whether Browns 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 Browns with respect to the benefits of owning Browns Beach security.