Big Tech (Israel) Market Value
| BIGT Stock | 166.50 0.30 0.18% |
| Symbol | Big |
Big Tech '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 Tech'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 Tech.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Big Tech on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Big Tech 50 or generate 0.0% return on investment in Big Tech over 90 days. Big Tech is related to or competes with First International, Bezeq Israeli, Hiron Trade, Migdal Insurance, Libra Insurance, and Israel Discount. More
Big Tech 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 Tech'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 Tech 50 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.16 | |||
| Information Ratio | 0.077 | |||
| Maximum Drawdown | 50.06 | |||
| Value At Risk | (4.95) | |||
| Potential Upside | 4.18 |
Big Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Tech's standard deviation. In reality, there are many statistical measures that can use Big Tech historical prices to predict the future Big Tech's volatility.| Risk Adjusted Performance | 0.0614 | |||
| Jensen Alpha | 0.5225 | |||
| Total Risk Alpha | 1.12 | |||
| Sortino Ratio | 0.148 | |||
| Treynor Ratio | 0.2374 |
Big Tech 50 Backtested Returns
Big Tech appears to be very steady, given 3 months investment horizon. Big Tech 50 secures Sharpe Ratio (or Efficiency) of 0.0808, which signifies that the company had a 0.0808 % return per unit of standard deviation over the last 3 months. By analyzing Big Tech's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please makes use of Big Tech's mean deviation of 2.22, and Risk Adjusted Performance of 0.0614 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Big Tech holds a performance score of 6. The firm shows a Beta (market volatility) of 1.51, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Big Tech will likely underperform. Please check Big Tech's coefficient of variation, jensen alpha, and the relationship between the downside deviation and information ratio , to make a quick decision on whether Big Tech's price patterns will revert.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Big Tech 50 has insignificant reverse predictability. Overlapping area represents the amount of predictability between Big Tech time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Big Tech 50 price movement. The serial correlation of -0.18 indicates that over 18.0% of current Big Tech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 479.92 |
Big Tech 50 lagged returns against current returns
Autocorrelation, which is Big Tech 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 Tech's stock expected returns. We can calculate the autocorrelation of Big Tech returns to help us make a trade decision. For example, suppose you find that Big Tech 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 Tech 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 Tech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Big Tech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Big Tech stock over time.
Current vs Lagged Prices |
| Timeline |
Big Tech Lagged Returns
When evaluating Big Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Big Tech stock have on its future price. Big Tech 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 Tech autocorrelation shows the relationship between Big Tech stock current value and its past values and can show if there is a momentum factor associated with investing in Big Tech 50.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Big Stock
Big Tech 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 Tech security.