Big Camera (Thailand) Market Value
| BIG Stock | THB 0.41 0.01 2.38% |
| 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.
| 03/13/2024 |
| 06/11/2024 |
If you would invest 0.00 in Big Camera on March 13, 2024 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 90 days. Big Camera is related to or competes with Hana Microelectronics, Hwa Fong, Goodyear Public, BEC World, and Ichitan Group. 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 | (0.1) | |||
| Maximum Drawdown | 13.07 | |||
| Value At Risk | (4.08) | |||
| Potential Upside | 2.27 |
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 | (0.20) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (6.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Big Camera's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Big Camera Backtested Returns
Big Camera secures Sharpe Ratio (or Efficiency) of -0.18, which signifies that the company had a -0.18% return per unit of standard deviation over the last 3 months. Big Camera exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Big Camera's mean deviation of 1.22, and Risk Adjusted Performance of (0.05) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0315, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Big Camera's returns are expected to increase less than the market. However, during the bear market, the loss of holding Big Camera is expected to be smaller as well. At this point, Big Camera has a negative expected return of -0.3%. Please make sure to confirm Big Camera's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Big Camera performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.66 |
Good predictability
Big Camera has good predictability. Overlapping area represents the amount of predictability between Big Camera time series from 13th of March 2024 to 27th of April 2024 and 27th of April 2024 to 11th of June 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 0.66 indicates that around 66.0% of current Big Camera price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | -0.03 | |
| 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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Other Information on Investing in Big Stock
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.