Bank Of New Stock Market Value
| BK Stock | USD 86.50 0.46 0.53% |
| Symbol | Bank |
Bank of New York Price To Book Ratio
Is Asset Management & Custody Banks 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 Bank of New York. If investors know Bank 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 Bank of New York 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 0.22 | Earnings Share 5.8 | Revenue Per Share | Quarterly Revenue Growth 0.047 | Return On Assets |
The market value of Bank of New York is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of New York's value that differs from its market value or its book value, called intrinsic value, which is Bank of New York'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 Bank of New York's market value can be influenced by many factors that don't directly affect Bank of New York'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 Bank of New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of New York'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.
Bank of New York '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 of New York'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 Bank of New York.
| 09/03/2024 |
| 01/31/2025 |
If you would invest 0.00 in Bank of New York on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of New or generate 0.0% return on investment in Bank of New York over 150 days. Bank of New York is related to or competes with Northern Trust, Invesco Plc, Franklin Resources, T Rowe, State Street, SEI Investments, and Principal Financial. The Bank of New York Mellon Corporation provides a range of financial products and services in the United States and int... More
Bank of New York 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 of New York'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 Bank of New upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.15 | |||
| Information Ratio | 0.071 | |||
| Maximum Drawdown | 8.74 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.97 |
Bank of New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of New York's standard deviation. In reality, there are many statistical measures that can use Bank of New York historical prices to predict the future Bank of New York's volatility.| Risk Adjusted Performance | 0.1199 | |||
| Jensen Alpha | 0.1354 | |||
| Total Risk Alpha | 0.0355 | |||
| Sortino Ratio | 0.0915 | |||
| Treynor Ratio | 0.2934 |
Bank of New York Backtested Returns
Bank of New York appears to be very steady, given 3 months investment horizon. Bank of New York secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Bank of New, which you can use to evaluate the volatility of the firm. Please makes use of Bank of New York's Downside Deviation of 1.15, risk adjusted performance of 0.1199, and Mean Deviation of 0.9659 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of New York holds a performance score of 13. The firm shows a Beta (market volatility) of 0.67, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of New York's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of New York is expected to be smaller as well. Please check Bank of New York's downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether Bank of New York's price patterns will revert.
Auto-correlation | 0.23 |
Weak predictability
Bank of New has weak predictability. Overlapping area represents the amount of predictability between Bank of New York time series from 3rd of September 2024 to 17th of November 2024 and 17th of November 2024 to 31st of January 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 Bank of New York price movement. The serial correlation of 0.23 indicates that over 23.0% of current Bank of New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 9.77 |
Bank of New York lagged returns against current returns
Autocorrelation, which is Bank of New York 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 Bank of New York's stock expected returns. We can calculate the autocorrelation of Bank of New York returns to help us make a trade decision. For example, suppose you find that Bank of New York 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 |
Bank of New York 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 of New York stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of New York stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of New York stock over time.
Current vs Lagged Prices |
| Timeline |
Bank of New York Lagged Returns
When evaluating Bank of New York's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of New York stock have on its future price. Bank of New York 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 of New York autocorrelation shows the relationship between Bank of New York stock current value and its past values and can show if there is a momentum factor associated with investing in Bank of New.
Regressed Prices |
| Timeline |
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Bank of New York 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.