Bank Hapoalim Bm Stock Market Value
| BKHPF Stock | USD 8.42 0.00 0.00% |
| Symbol | Bank |
Bank Hapoalim '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 Bank Hapoalim's pink sheet 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 Bank Hapoalim.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Bank Hapoalim on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Bank Hapoalim BM or generate 0.0% return on investment in Bank Hapoalim over 30 days. Bank Hapoalim is related to or competes with Bank Rakyat, Lloyds Banking, Western Alliance, JAPAN POST, Piraeus Bank, and Eurobank Ergasias. Bank Hapoalim B.M., together with its subsidiaries, provides various banking and financial products and services in Isra... More
Bank Hapoalim 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 Bank Hapoalim's pink sheet 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 Bank Hapoalim BM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.19 |
Bank Hapoalim Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank Hapoalim's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank Hapoalim's standard deviation. In reality, there are many statistical measures that can use Bank Hapoalim historical prices to predict the future Bank Hapoalim's volatility.| Risk Adjusted Performance | 0.0709 | |||
| Jensen Alpha | 0.0337 | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.7101 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank Hapoalim'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.
Bank Hapoalim BM Backtested Returns
We consider Bank Hapoalim very steady. Bank Hapoalim BM secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Bank Hapoalim BM, which you can use to evaluate the volatility of the firm. Please confirm Bank Hapoalim's Mean Deviation of 0.0951, risk adjusted performance of 0.0709, and Standard Deviation of 0.3922 to double-check if the risk estimate we provide is consistent with the expected return of 0.0514%. Bank Hapoalim has a performance score of 9 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0539, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Bank Hapoalim's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank Hapoalim is expected to be smaller as well. Bank Hapoalim BM right now shows a risk of 0.4%. Please confirm Bank Hapoalim BM variance, skewness, as well as the relationship between the Skewness and day typical price , to decide if Bank Hapoalim BM will be following its price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Bank Hapoalim BM has no correlation between past and present. Overlapping area represents the amount of predictability between Bank Hapoalim time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Bank Hapoalim BM price movement. The serial correlation of 0.0 indicates that just 0.0% of current Bank Hapoalim price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Bank Hapoalim BM lagged returns against current returns
Autocorrelation, which is Bank Hapoalim pink sheet'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 Bank Hapoalim's pink sheet expected returns. We can calculate the autocorrelation of Bank Hapoalim returns to help us make a trade decision. For example, suppose you find that Bank Hapoalim has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Bank Hapoalim 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 Bank Hapoalim pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank Hapoalim pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank Hapoalim pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Bank Hapoalim Lagged Returns
When evaluating Bank Hapoalim's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank Hapoalim pink sheet have on its future price. Bank Hapoalim 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, Bank Hapoalim autocorrelation shows the relationship between Bank Hapoalim pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Bank Hapoalim BM.
Regressed Prices |
| Timeline |
Pair Trading with Bank Hapoalim
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 Bank Hapoalim 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 Bank Hapoalim will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Pink Sheet
| 0.62 | CIHHF | China Merchants Bank | PairCorr |
Moving against Bank Pink Sheet
| 0.81 | CHHE | China Health Industries | PairCorr |
| 0.6 | SRBBF | VPN Technologies | PairCorr |
| 0.59 | IRNRF | Iron Road Limited | PairCorr |
| 0.48 | GSTX | Graphene Solar Techn | PairCorr |
The ability to find closely correlated positions to Bank Hapoalim could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank Hapoalim 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 Bank Hapoalim - 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 Bank Hapoalim BM to buy it.
The correlation of Bank Hapoalim 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 Bank Hapoalim moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank Hapoalim BM 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 Bank Hapoalim 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 Bank Hapoalim Correlation, Bank Hapoalim Volatility and Bank Hapoalim Alpha and Beta module to complement your research on Bank Hapoalim. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Complementary Tools for Bank Pink Sheet analysis
When running Bank Hapoalim's price analysis, check to measure Bank Hapoalim'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 Bank Hapoalim is operating at the current time. Most of Bank Hapoalim's value examination focuses on studying past and present price action to predict the probability of Bank Hapoalim's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank Hapoalim's price. Additionally, you may evaluate how the addition of Bank Hapoalim to your portfolios can decrease your overall portfolio volatility.
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Bank Hapoalim technical pink sheet 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, pink sheet market cycles, or different charting patterns.