Manhattan Bridge Capital Stock Market Value
| LOAN Stock | USD 5.54 0.04 0.73% |
| Symbol | Manhattan |
Manhattan Bridge Capital Price To Book Ratio
Is Mortgage Real Estate Investment Trusts (REITs) space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Manhattan Bridge. If investors know Manhattan will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Manhattan Bridge listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.05) | Dividend Share 0.458 | Earnings Share 0.49 | Revenue Per Share 0.646 | Quarterly Revenue Growth (0.02) |
The market value of Manhattan Bridge Capital is measured differently than its book value, which is the value of Manhattan that is recorded on the company's balance sheet. Investors also form their own opinion of Manhattan Bridge's value that differs from its market value or its book value, called intrinsic value, which is Manhattan Bridge's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Manhattan Bridge's market value can be influenced by many factors that don't directly affect Manhattan Bridge's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Manhattan Bridge's value and its price as these two are different measures arrived at by different means. Investors typically determine if Manhattan Bridge is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Manhattan Bridge's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Manhattan Bridge '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 Manhattan Bridge'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 Manhattan Bridge.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Manhattan Bridge on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Manhattan Bridge Capital or generate 0.0% return on investment in Manhattan Bridge over 30 days. Manhattan Bridge is related to or competes with Franklin BSP, AGNC Investment, Nexpoint Real, Ladder Capital, Sachem Capital, Ellington Residential, and Acres Commercial. Manhattan Bridge Capital, Inc., a real estate finance company, originates, services, and manages a portfolio of first mo... More
Manhattan Bridge 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 Manhattan Bridge'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 Manhattan Bridge Capital upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.85 | |||
| Information Ratio | 0.0142 | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 2.55 |
Manhattan Bridge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Manhattan Bridge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Manhattan Bridge's standard deviation. In reality, there are many statistical measures that can use Manhattan Bridge historical prices to predict the future Manhattan Bridge's volatility.| Risk Adjusted Performance | 0.0728 | |||
| Jensen Alpha | 0.1372 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0121 | |||
| Treynor Ratio | (38.00) |
Manhattan Bridge Capital Backtested Returns
As of now, Manhattan Stock is somewhat reliable. Manhattan Bridge Capital has Sharpe Ratio of 0.086, which conveys that the firm had a 0.086% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Manhattan Bridge, which you can use to evaluate the volatility of the firm. Please verify Manhattan Bridge's Downside Deviation of 1.85, risk adjusted performance of 0.0728, and Mean Deviation of 0.9994 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. Manhattan Bridge has a performance score of 6 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.0036, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Manhattan Bridge are expected to decrease at a much lower rate. During the bear market, Manhattan Bridge is likely to outperform the market. Manhattan Bridge Capital right now secures a risk of 1.61%. Please verify Manhattan Bridge Capital downside variance, and the relationship between the treynor ratio and kurtosis , to decide if Manhattan Bridge Capital will be following its current price movements.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Manhattan Bridge Capital has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Manhattan Bridge time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th of December 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 Manhattan Bridge Capital price movement. The serial correlation of -0.8 indicates that around 80.0% of current Manhattan Bridge price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Manhattan Bridge Capital lagged returns against current returns
Autocorrelation, which is Manhattan Bridge 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 Manhattan Bridge's stock expected returns. We can calculate the autocorrelation of Manhattan Bridge returns to help us make a trade decision. For example, suppose you find that Manhattan Bridge 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 |
Manhattan Bridge 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 Manhattan Bridge stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Manhattan Bridge stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Manhattan Bridge stock over time.
Current vs Lagged Prices |
| Timeline |
Manhattan Bridge Lagged Returns
When evaluating Manhattan Bridge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Manhattan Bridge stock have on its future price. Manhattan Bridge 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, Manhattan Bridge autocorrelation shows the relationship between Manhattan Bridge stock current value and its past values and can show if there is a momentum factor associated with investing in Manhattan Bridge Capital.
Regressed Prices |
| Timeline |
Pair Trading with Manhattan Bridge
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 Manhattan Bridge 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 Manhattan Bridge will appreciate offsetting losses from the drop in the long position's value.Moving against Manhattan Stock
The ability to find closely correlated positions to Manhattan Bridge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Manhattan Bridge 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 Manhattan Bridge - 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 Manhattan Bridge Capital to buy it.
The correlation of Manhattan Bridge 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 Manhattan Bridge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Manhattan Bridge Capital 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 Manhattan Bridge 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 Manhattan Bridge Correlation, Manhattan Bridge Volatility and Manhattan Bridge Alpha and Beta module to complement your research on Manhattan Bridge. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Manhattan Bridge 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.