Brand (Israel) Market Value
| BRND Stock | ILS 227.80 0.40 0.18% |
| Symbol | Brand |
Brand '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 Brand'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 Brand.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Brand on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Brand Group or generate 0.0% return on investment in Brand over 30 days. Brand is related to or competes with Automatic Bank, Payment Financial, Harel Insurance, Unet Credit, Allot Communications, B Communications, and Altshuler Shaham. Brand Industries Ltd. provides metal industry solutions for infrastructure, energy, and security markets in Israel and i... More
Brand 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 Brand'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 Brand Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 14.73 | |||
| Value At Risk | (3.56) | |||
| Potential Upside | 3.6 |
Brand Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Brand's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Brand's standard deviation. In reality, there are many statistical measures that can use Brand historical prices to predict the future Brand's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | (1.89) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Brand'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.
Brand Group Backtested Returns
Brand Group secures Sharpe Ratio (or Efficiency) of -0.0963, which signifies that the company had a -0.0963% return per unit of standard deviation over the last 3 months. Brand Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Brand's mean deviation of 1.44, and Risk Adjusted Performance of (0.03) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0691, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Brand's returns are expected to increase less than the market. However, during the bear market, the loss of holding Brand is expected to be smaller as well. Brand Group has an expected return of -0.21%. Please make sure to confirm Brand Group market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if Brand Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.87 |
Excellent reverse predictability
Brand Group has excellent reverse predictability. Overlapping area represents the amount of predictability between Brand time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 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 Brand Group price movement. The serial correlation of -0.87 indicates that approximately 87.0% of current Brand price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.87 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 10.81 |
Brand Group lagged returns against current returns
Autocorrelation, which is Brand 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 Brand's stock expected returns. We can calculate the autocorrelation of Brand returns to help us make a trade decision. For example, suppose you find that Brand 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 |
Brand 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 Brand stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Brand stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Brand stock over time.
Current vs Lagged Prices |
| Timeline |
Brand Lagged Returns
When evaluating Brand's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Brand stock have on its future price. Brand 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, Brand autocorrelation shows the relationship between Brand stock current value and its past values and can show if there is a momentum factor associated with investing in Brand Group.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Brand in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Brand's short interest history, or implied volatility extrapolated from Brand options trading.
Pair Trading with Brand
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Brand position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Brand will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Brand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Brand when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Brand - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Brand Group to buy it.
The correlation of Brand is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Brand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Brand Group moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Brand can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Brand Correlation, Brand Volatility and Brand Alpha and Beta module to complement your research on Brand. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for Brand Stock analysis
When running Brand's price analysis, check to measure Brand's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Brand is operating at the current time. Most of Brand's value examination focuses on studying past and present price action to predict the probability of Brand's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Brand's price. Additionally, you may evaluate how the addition of Brand to your portfolios can decrease your overall portfolio volatility.
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Brand technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.