State Street Corp Stock Market Value
| STT Stock | USD 74.29 0.10 0.13% |
| Symbol | State |
State Street Corp Price To Book Ratio
Is State Street's industry 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 State Street. If investors know State 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 State Street 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 (0.1) | Dividend Share 2.7 | Earnings Share 5.43 | Revenue Per Share 38.242 | Quarterly Revenue Growth 0.018 |
The market value of State Street Corp is measured differently than its book value, which is the value of State that is recorded on the company's balance sheet. Investors also form their own opinion of State Street's value that differs from its market value or its book value, called intrinsic value, which is State Street'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 State Street's market value can be influenced by many factors that don't directly affect State Street'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 State Street's value and its price as these two are different measures arrived at by different means. Investors typically determine if State Street is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, State Street'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.
State Street '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 State Street'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 State Street.
| 05/01/2023 |
| 04/25/2024 |
If you would invest 0.00 in State Street on May 1, 2023 and sell it all today you would earn a total of 0.00 from holding State Street Corp or generate 0.0% return on investment in State Street over 360 days. State Street is related to or competes with Invesco Plc, Franklin Resources, T Rowe, SEI Investments, Principal Financial, Affiliated Managers, and Ameriprise Financial. State Street Corporation, through its subsidiaries, provides a range of financial products and services to institutional... More
State Street 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 State Street'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 State Street Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 5.82 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.65 |
State Street Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for State Street's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as State Street's standard deviation. In reality, there are many statistical measures that can use State Street historical prices to predict the future State Street's volatility.| Risk Adjusted Performance | 2.0E-4 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of State Street'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.
State Street Corp Backtested Returns
We consider State Street very steady. State Street Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0032, which indicates the firm had a 0.0032% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for State Street Corp, which you can use to evaluate the volatility of the company. Please validate State Street's Coefficient Of Variation of (13,443), variance of 1.44, and Risk Adjusted Performance of 2.0E-4 to confirm if the risk estimate we provide is consistent with the expected return of 0.0038%. The entity has a beta of 0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, State Street's returns are expected to increase less than the market. However, during the bear market, the loss of holding State Street is expected to be smaller as well. State Street Corp right now has a risk of 1.2%. Please validate State Street maximum drawdown, as well as the relationship between the daily balance of power and relative strength index , to decide if State Street will be following its existing price patterns.
Auto-correlation | 0.24 |
Weak predictability
State Street Corp has weak predictability. Overlapping area represents the amount of predictability between State Street time series from 1st of May 2023 to 28th of October 2023 and 28th of October 2023 to 25th 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 State Street Corp price movement. The serial correlation of 0.24 indicates that over 24.0% of current State Street price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 11.35 |
State Street Corp lagged returns against current returns
Autocorrelation, which is State Street 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 State Street's stock expected returns. We can calculate the autocorrelation of State Street returns to help us make a trade decision. For example, suppose you find that State Street 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 |
State Street 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 State Street stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if State Street stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in State Street stock over time.
Current vs Lagged Prices |
| Timeline |
State Street Lagged Returns
When evaluating State Street's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of State Street stock have on its future price. State Street 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, State Street autocorrelation shows the relationship between State Street stock current value and its past values and can show if there is a momentum factor associated with investing in State Street Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether State Street Corp is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if State Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about State Street Corp Stock. Highlighted below are key reports to facilitate an investment decision about State Street Corp Stock:Check out State Street Correlation, State Street Volatility and State Street Alpha and Beta module to complement your research on State Street. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for State Stock analysis
When running State Street's price analysis, check to measure State Street'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 State Street is operating at the current time. Most of State Street's value examination focuses on studying past and present price action to predict the probability of State Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move State Street's price. Additionally, you may evaluate how the addition of State Street to your portfolios can decrease your overall portfolio volatility.
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State Street 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.