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Fundamental analysis, in accounting and finance, is the analysis of a business's financial statements ; health; and competitors and markets. It also considers the overall state of the economy and factors including interest rates, production, earnings, employment, GDP, housing, manufacturing and management. There are two basic approaches that can be used: bottom up analysis and top down analysis. These terms are used to distinguish such analysis from other types of investment analysis, such as quantitative and technical.
Wharton Econometric Forecasting Associates, Inc was an economics forecasting and consulting organization founded by Nobel Prize winner Lawrence Klein.
Global Insight is an economics forecasting organization, serving over 3,800 clients in industry, finance and government, with revenues of over $95 million and employing more than 600 staff in 23 offices in 13 countries. It is a division of S&P Global after its acquisition of IHS Inc.
Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and resolution itself. Usage can vary between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period.
Thomson Financial was an arm of the Thomson Corporation, an information provider. When the Thomson Corporation merged with Reuters to form Thomson Reuters in April 2008, Thomson Financial was merged with the business of Reuters to form the Markets Division of Thomson Reuters.
In financial markets, stock valuation is the method of calculating theoretical values of companies and their stocks. The main use of these methods is to predict future market prices, or more generally, potential market prices, and thus to profit from price movement – stocks that are judged undervalued are bought, while stocks that are judged overvalued are sold, in the expectation that undervalued stocks will overall rise in value, while overvalued stocks will generally decrease in value. A target price is a price at which an analyst believes a stock to be fairly valued relative to its projected and historical earnings.
A financial analyst is a professional, undertaking financial analysis for external or internal clients as a core feature of the job. The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst. The job title is a broad one: in banking, and industry more generally, various other analyst-roles cover financial management and (credit) risk management, as opposed to focusing on investments and valuation; these are also discussed in this article.
Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms. Economic forecasting is a measure to find out the future prosperity of a pattern of investment and is the key activity in economic analysis. Many institutions engage in economic forecasting: national governments, banks and central banks, consultants and private sector entities such as think-tanks, companies and international organizations such as the International Monetary Fund, World Bank and the OECD. A broad range of forecasts are collected and compiled by "Consensus Economics". Some forecasts are produced annually, but many are updated more frequently.
The "Fed model", or "Fed Stock Valuation Model" (FSVM), is a disputed theory of equity valuation that compares the stock market's forward earnings yield to the nominal yield on long-term government bonds, and that the stock market – as a whole – is fairly valued, when the one-year forward-looking I/B/E/S earnings yield equals the 10-year nominal Treasury yield; deviations suggest over-or-under valuation.
Technology forecasting attempts to predict the future characteristics of useful technological machines, procedures or techniques. Researchers create technology forecasts based on past experience and current technological developments. Like other forecasts, technology forecasting can be helpful for both public and private organizations to make smart decisions. By analyzing future opportunities and threats, the forecaster can improve decisions in order to achieve maximum benefits. Today, most countries are experiencing huge social and economic changes, which heavily rely on technology development. By analyzing these changes, government and economic institutions could make plans for future developments. However, not all of historical data can be used for technology forecasting, forecasters also need to adopt advanced technology and quantitative modeling from experts’ researches and conclusions.
Whisper numbers are the "unofficial and unpublished earnings per share (EPS) forecasts that circulate among professionals on Wall Street... generally reserved for the favored (wealthy) clients of a brokerage." According to Per Afrell, a former analyst at UBS Warburg, buy and sell side research analysts generally maintain a 20 plus page spreadsheet to calculate their earnings per share estimates. When the estimate is first calculated by sell-side analysts, the number is submitted to companies such as First Call to be averaged with other analysts' estimates for the consensus earnings estimate. As new information is made available and plugged into the spreadsheet, the calculation may change several times leading up to a company's actual earnings release. However, the analyst is generally not going to issue a new report and revise his or her published estimate with each new calculation, resulting in the analyst's true expectations differing from his or her published number. Therefore, when someone within the firm, an institutional client, or even a retail client asks the analyst his or her expectation for the company, the response is often different from the published estimate. This number then gets passed among trading desks and professional traders as the whisper number.
In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. Since the forecast error is derived from the same scale of data, comparisons between the forecast errors of different series can only be made when the series are on the same scale.
The following outline is provided as an overview of and topical guide to finance:
Compustat is a database of financial, statistical, and market information on active and inactive global companies throughout the world. The service began in 1962.
A financial forecast is an estimate of future financial outcomes for a company or project, usually applied in budgeting, capital budgeting and / or valuation. Depending on context, the term may also refer to listed company (quarterly) earnings guidance. For a country or economy, see Economic forecast.
In finance, the T-model is a formula that states the returns earned by holders of a company's stock in terms of accounting variables obtainable from its financial statements. The T-model connects fundamentals with investment return, allowing an analyst to make projections of financial performance and turn those projections into a required return that can be used in investment selection.
The Supervisory Capital Assessment Program, publicly described as the bank stress tests, was an assessment of capital conducted by the Federal Reserve System and thrift supervisors to determine if the largest U.S. financial organizations had sufficient capital buffers to withstand the recession and the financial market turmoil. The test used two macroeconomic scenarios, one based on baseline conditions and the other with more pessimistic expectations, to plot a 'What If?' exploration into the banking situation in the rest of 2009 and into 2010. The capital levels at 19 institutions were assessed based on their Tier 1 common capital, although it was originally thought that regulators would use tangible common equity as the yardstick. The results of the tests were released on May 7, 2009, at 5pm EST.
In finance, the capital structure substitution theory (CSS) describes the relationship between earnings, stock price and capital structure of public companies. The CSS theory hypothesizes that managements of public companies manipulate capital structure such that earnings per share (EPS) are maximized. Managements have an incentive to do so because shareholders and analysts value EPS growth. The theory is used to explain trends in capital structure, stock market valuation, dividend policy, the monetary transmission mechanism, and stock volatility, and provides an alternative to the Modigliani–Miller theorem that has limited descriptive validity in real markets. The CSS theory is only applicable in markets where share repurchases are allowed. Investors can use the CSS theory to identify undervalued stocks.
An earnings surprise, or unexpected earnings, in accounting, is the difference between the reported earnings and the expected earnings of an entity. Measures of a firm's expected earnings, in turn, include analysts' forecasts of the firm's profit and mathematical models of expected earnings based on the earnings of previous accounting periods.
Jeremy James Siegel is the Russell E. Palmer Professor of Finance at the Wharton School of the University of Pennsylvania in Philadelphia, Pennsylvania. Siegel comments extensively on the economy and financial markets. He appears regularly on networks including CNN, CNBC and NPR, and writes regular columns for Kiplinger's Personal Finance and Yahoo! Finance. Siegel's paradox is named after him.