Forrester Research Stock Market Value

FORR Stock  USD 16.97  0.21  1.25%   
Forrester Research's market value is the price at which a share of Forrester Research trades on a public exchange. It measures the collective expectations of Forrester Research investors about its performance. Forrester Research is selling at 16.97 as of the 22nd of November 2024; that is 1.25 percent increase since the beginning of the trading day. The stock's lowest day price was 16.69.
With this module, you can estimate the performance of a buy and hold strategy of Forrester Research and determine expected loss or profit from investing in Forrester Research over a given investment horizon. Check out Forrester Research Correlation, Forrester Research Volatility and Forrester Research Alpha and Beta module to complement your research on Forrester Research.
To learn how to invest in Forrester Stock, please use our How to Invest in Forrester Research guide.
Symbol

Forrester Research Price To Book Ratio

Is Research & Consulting Services 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 Forrester Research. If investors know Forrester 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 Forrester Research 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
0.192
Earnings Share
(0.35)
Revenue Per Share
23.084
Quarterly Revenue Growth
(0.1)
Return On Assets
0.0067
The market value of Forrester Research is measured differently than its book value, which is the value of Forrester that is recorded on the company's balance sheet. Investors also form their own opinion of Forrester Research's value that differs from its market value or its book value, called intrinsic value, which is Forrester Research'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 Forrester Research's market value can be influenced by many factors that don't directly affect Forrester Research'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 Forrester Research's value and its price as these two are different measures arrived at by different means. Investors typically determine if Forrester Research is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Forrester Research'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.

Forrester Research '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 Forrester Research'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 Forrester Research.
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 Forrester Research on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Forrester Research or generate 0.0% return on investment in Forrester Research over 30 days. Forrester Research is related to or competes with Huron Consulting, ICF International, Franklin Covey, FTI Consulting, CRA International, Exponent, and Resources Connection. Forrester Research, Inc. operates as an independent research and advisory services company More

Forrester Research 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 Forrester Research'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 Forrester Research upside and downside potential and time the market with a certain degree of confidence.

Forrester Research Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Forrester Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Forrester Research's standard deviation. In reality, there are many statistical measures that can use Forrester Research historical prices to predict the future Forrester Research's volatility.
Hype
Prediction
LowEstimatedHigh
14.4516.7619.07
Details
Intrinsic
Valuation
LowRealHigh
14.5316.8419.15
Details
Naive
Forecast
LowNextHigh
14.2516.5618.87
Details
2 Analysts
Consensus
LowTargetHigh
33.2236.5040.52
Details

Forrester Research Backtested Returns

Forrester Research secures Sharpe Ratio (or Efficiency) of -0.0716, which denotes the company had a -0.0716% return per unit of risk over the last 3 months. Forrester Research exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Forrester Research's Mean Deviation of 1.84, standard deviation of 2.36, and Variance of 5.58 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.54, which means 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, Forrester Research will likely underperform. At this point, Forrester Research has a negative expected return of -0.17%. Please make sure to confirm Forrester Research's treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Forrester Research performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.25  

Poor predictability

Forrester Research has poor predictability. Overlapping area represents the amount of predictability between Forrester Research 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 Forrester Research price movement. The serial correlation of 0.25 indicates that over 25.0% of current Forrester Research price fluctuation can be explain by its past prices.
Correlation Coefficient0.25
Spearman Rank Test-0.52
Residual Average0.0
Price Variance0.1

Forrester Research lagged returns against current returns

Autocorrelation, which is Forrester Research 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 Forrester Research's stock expected returns. We can calculate the autocorrelation of Forrester Research returns to help us make a trade decision. For example, suppose you find that Forrester Research 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  

Forrester Research 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 Forrester Research stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Forrester Research stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Forrester Research stock over time.
   Current vs Lagged Prices   
       Timeline  

Forrester Research Lagged Returns

When evaluating Forrester Research's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Forrester Research stock have on its future price. Forrester Research 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, Forrester Research autocorrelation shows the relationship between Forrester Research stock current value and its past values and can show if there is a momentum factor associated with investing in Forrester Research.
   Regressed Prices   
       Timeline  

Pair Trading with Forrester Research

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 Forrester Research 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 Forrester Research will appreciate offsetting losses from the drop in the long position's value.

Moving against Forrester Stock

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The ability to find closely correlated positions to Forrester Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Forrester Research 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 Forrester Research - 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 Forrester Research to buy it.
The correlation of Forrester Research 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 Forrester Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Forrester Research 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 Forrester Research 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.
Pair CorrelationCorrelation Matching

Additional Tools for Forrester Stock Analysis

When running Forrester Research's price analysis, check to measure Forrester Research'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 Forrester Research is operating at the current time. Most of Forrester Research's value examination focuses on studying past and present price action to predict the probability of Forrester Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forrester Research's price. Additionally, you may evaluate how the addition of Forrester Research to your portfolios can decrease your overall portfolio volatility.