Sl Green Realty Stock Market Value

SLG Stock  USD 79.15  1.42  1.83%   
SL Green's market value is the price at which a share of SL Green trades on a public exchange. It measures the collective expectations of SL Green Realty investors about its performance. SL Green is trading at 79.15 as of the 22nd of November 2024. This is a 1.83% increase since the beginning of the trading day. The stock's lowest day price was 78.08.
With this module, you can estimate the performance of a buy and hold strategy of SL Green Realty and determine expected loss or profit from investing in SL Green over a given investment horizon. Check out SL Green Correlation, SL Green Volatility and SL Green Alpha and Beta module to complement your research on SL Green.
Symbol

SL Green Realty Price To Book Ratio

Is Diversified 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 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
3.042
Earnings Share
(2.55)
Revenue Per Share
14.377
Quarterly Revenue Growth
0.098
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.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in SL Green on October 23, 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 Douglas Emmett, Piedmont Office, City Office, Cousins Properties, Highwoods Properties, Hudson Pacific, and Eerly Govt. 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.

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.
Hype
Prediction
LowEstimatedHigh
77.0978.9580.81
Details
Intrinsic
Valuation
LowRealHigh
59.6461.5087.07
Details
Naive
Forecast
LowNextHigh
73.1074.9676.83
Details
19 Analysts
Consensus
LowTargetHigh
31.0034.0737.82
Details

SL Green Realty Backtested Returns

SL Green appears to be very steady, given 3 months investment horizon. SL Green Realty retains Efficiency (Sharpe Ratio) of 0.18, which indicates the firm had a 0.18% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for SL Green, which you can use to evaluate the volatility of the company. Please review SL Green's Downside Deviation of 1.68, mean deviation of 1.44, and Risk Adjusted Performance of 0.1445 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SL Green holds a performance score of 13. The entity owns a Beta (Systematic Risk) of 1.08, which indicates a somewhat significant risk relative to the market. SL Green returns are very sensitive to returns on the market. As the market goes up or down, SL Green is expected to follow. Please check SL Green's coefficient of variation, semi variance, period momentum indicator, as well as the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether SL Green's current price history will revert.

Auto-correlation

    
  0.12  

Insignificant predictability

SL Green Realty has insignificant predictability. Overlapping area represents the amount of predictability between SL Green time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 0.12 indicates that less than 12.0% of current SL Green price fluctuation can be explain by its past prices.
Correlation Coefficient0.12
Spearman Rank Test-0.46
Residual Average0.0
Price Variance4.03

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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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.
A focus of SL Green technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SL Green trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...