Big Camera (Thailand) Market Value
| BIG Stock | THB 0.37 0.01 2.78% |
| Symbol | Big |
Big Camera '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 Big Camera'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 Big Camera.
| 11/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in Big Camera on November 29, 2023 and sell it all today you would earn a total of 0.00 from holding Big Camera or generate 0.0% return on investment in Big Camera over 360 days. Big Camera is related to or competes with Ananda Development, Beauty Community, Asia Aviation, Gunkul Engineering, and CK Power. Big Camera Corporation Public Company Limited, together with its subsidiaries, distributes cameras and photography-relat... More
Big Camera 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 Big Camera'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 Big Camera upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 11.96 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.44 |
Big Camera Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Camera's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Camera's standard deviation. In reality, there are many statistical measures that can use Big Camera historical prices to predict the future Big Camera's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | 57.69 |
Big Camera Backtested Returns
Big Camera is out of control given 3 months investment horizon. Big Camera secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of standard deviation over the last 3 months. We were able to analyze and collect data for twenty-four different technical indicators, which can help you to evaluate if expected returns of 14.15% are justified by taking the suggested risk. Use Big Camera risk adjusted performance of (0.05), and Mean Deviation of 1.45 to evaluate company specific risk that cannot be diversified away. Big Camera holds a performance score of 8 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.0031, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Big Camera are expected to decrease at a much lower rate. During the bear market, Big Camera is likely to outperform the market. Use Big Camera coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to analyze future returns on Big Camera.
Auto-correlation | -0.09 |
Very weak reverse predictability
Big Camera has very weak reverse predictability. Overlapping area represents the amount of predictability between Big Camera time series from 29th of November 2023 to 27th of May 2024 and 27th of May 2024 to 23rd 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 Big Camera price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Big Camera price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Big Camera lagged returns against current returns
Autocorrelation, which is Big Camera 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 Big Camera's stock expected returns. We can calculate the autocorrelation of Big Camera returns to help us make a trade decision. For example, suppose you find that Big Camera 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 |
Big Camera 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 Big Camera stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Big Camera stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Big Camera stock over time.
Current vs Lagged Prices |
| Timeline |
Big Camera Lagged Returns
When evaluating Big Camera's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Big Camera stock have on its future price. Big Camera 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, Big Camera autocorrelation shows the relationship between Big Camera stock current value and its past values and can show if there is a momentum factor associated with investing in Big Camera.
Regressed Prices |
| Timeline |
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Big Camera financial ratios help investors to determine whether Big 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 Big with respect to the benefits of owning Big Camera security.