Sl Green Realty Stock Market Value
| SLG Stock | USD 50.61 0.27 0.53% |
| Symbol | SLG |
SL Green Realty Price To Book Ratio
Is SL Green'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 SL Green. If investors know SLG 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 SL Green 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 (0.98) | Dividend Share 3.166 | Earnings Share (8.29) | Revenue Per Share 12.622 | Quarterly Revenue Growth (0.01) |
The market value of SL Green Realty is measured differently than its book value, which is the value of SLG that is recorded on the company's balance sheet. Investors also form their own opinion of SL Green's value that differs from its market value or its book value, called intrinsic value, which is SL Green'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 SL Green's market value can be influenced by many factors that don't directly affect SL Green'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 SL Green's value and its price as these two are different measures arrived at by different means. Investors typically determine if SL Green is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SL Green'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.
SL Green '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 SL Green'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 SL Green.
| 03/29/2024 |
| 04/28/2024 |
If you would invest 0.00 in SL Green on March 29, 2024 and sell it all today you would earn a total of 0.00 from holding SL Green Realty or generate 0.0% return on investment in SL Green over 30 days. SL Green is related to or competes with Highwoods Properties, Piedmont Office, Douglas Emmett, Kilroy Realty, City Office, Cousins Properties, and Equity Commonwealth. SL Green Realty Corp., an SP 500 company and Manhattans largest office landlord, is a fully integrated real estate inves... More
SL Green 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 SL Green'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 SL Green Realty upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.85 | |||
| Information Ratio | 0.0469 | |||
| Maximum Drawdown | 13.38 | |||
| Value At Risk | (3.99) | |||
| Potential Upside | 4.68 |
SL Green Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SL Green's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SL Green's standard deviation. In reality, there are many statistical measures that can use SL Green historical prices to predict the future SL Green's volatility.| Risk Adjusted Performance | 0.0571 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0455 | |||
| Treynor Ratio | 0.0692 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SL Green'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.
SL Green Realty Backtested Returns
We consider SL Green very steady. SL Green Realty retains Efficiency (Sharpe Ratio) of 0.053, which indicates the firm had a 0.053% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for SL Green, which you can use to evaluate the volatility of the company. Please validate SL Green's Mean Deviation of 2.23, risk adjusted performance of 0.0571, and Downside Deviation of 2.85 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. SL Green has a performance score of 4 on a scale of 0 to 100. The entity owns a Beta (Systematic Risk) of 3.02, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SL Green will likely underperform. SL Green Realty today owns a risk of 2.79%. Please validate SL Green Realty coefficient of variation, semi variance, price action indicator, as well as the relationship between the treynor ratio and daily balance of power , to decide if SL Green Realty will be following its current price history.
Auto-correlation | 0.41 |
Average predictability
SL Green Realty has average predictability. Overlapping area represents the amount of predictability between SL Green time series from 29th of March 2024 to 13th of April 2024 and 13th of April 2024 to 28th 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 SL Green Realty price movement. The serial correlation of 0.41 indicates that just about 41.0% of current SL Green price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 1.55 |
SL Green Realty lagged returns against current returns
Autocorrelation, which is SL Green 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 SL Green's stock expected returns. We can calculate the autocorrelation of SL Green returns to help us make a trade decision. For example, suppose you find that SL Green 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 |
SL Green 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 SL Green stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SL Green stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SL Green stock over time.
Current vs Lagged Prices |
| Timeline |
SL Green Lagged Returns
When evaluating SL Green's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SL Green stock have on its future price. SL Green 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, SL Green autocorrelation shows the relationship between SL Green stock current value and its past values and can show if there is a momentum factor associated with investing in SL Green Realty.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SL Green Realty is a strong investment it is important to analyze SL Green's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SL Green's future performance. For an informed investment choice regarding SLG Stock, refer to the following important reports:Check out SL Green Correlation, SL Green Volatility and SL Green Alpha and Beta module to complement your research on SL Green. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for SLG Stock analysis
When running SL Green's price analysis, check to measure SL Green'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 SL Green is operating at the current time. Most of SL Green's value examination focuses on studying past and present price action to predict the probability of SL Green's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SL Green's price. Additionally, you may evaluate how the addition of SL Green to your portfolios can decrease your overall portfolio volatility.
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SL Green 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.