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An Empirical Analysis of Analysts' Cash Flow Forecasts

An Empirical Analysis of Analysts' Cash Flow Forecasts
Author: Mark L. DeFond
Publisher:
Total Pages: 38
Release: 2003
Genre:
ISBN:

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This study investigates the relatively recent and growing trend in analysts making operating cash flow forecasts. We find that cash flow forecasts are made for companies with accounting, operating and financing characteristics that are likely to make cash flows more helpful in interpreting earnings and assessing firm viability. Specifically, consistent with our expectations, we find that cash flow forecasts are more likely to be made for firms: (1) in industries with greater accounting choice heterogeneity; (2) with forecasted earnings losses;(3) with shorter operating cycles; (4) with greater capital intensity; and (5) with higher leverage. These findings suggest that market participants demand cash flow forecasts when cash flows are relatively more useful in assessing firm value. Supporting this explanation, we also find that analysts make cash flow forecasts when current cash flows have greater ability, and earnings have less ability, to predict future cash flows; when annual earnings have a lower association with stock returns; and when cash flow forecast errors are associated with stock returns around the earnings announcement date, but earnings forecast errors are not.


The Valuation of Cash Flow Forecasts

The Valuation of Cash Flow Forecasts
Author: Steven N. Kaplan
Publisher:
Total Pages:
Release: 2008
Genre:
ISBN:

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This paper compares the market value of highly leveraged transactions (HLTs) to the discounted value of their corresponding cash flow forecasts. For our sample of 51 HLTs completed between 1983 and 1989, the valuations of discounted cash flow forecasts are within 10%, on average, of the market values of the completed transactions. Our valuations perform at least as well as valuation methods using comparable companies and transactions. We also invertour analysis by estimating the risk premia implied by transaction values and forecast cash flows, and relating those risk premia to firm and industry betas, firm size, and firm book-to-market ratios.


Discussion of Investor Protection and Analysts' Cash Flow Forecasts Around the World

Discussion of Investor Protection and Analysts' Cash Flow Forecasts Around the World
Author: Luzi Hail
Publisher:
Total Pages: 26
Release: 2011
Genre:
ISBN:

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DeFond and Hung (2007) test the conjecture whether financial analysts, due to demand-side pressure, compensate for the limited usefulness of reported earnings by issuing cash flow forecasts. They find that analysts supplement their earnings forecasts more frequently with cash flow forecasts in countries where antidirector rights and legal enforcement quality are poor. In my discussion, I examine their hypothesis development and empirical research design and try to extend their arguments to a time-series setting. As it turns out, the paper's main contention critically hinges on two assumptions: (1) investors' unsatisfied demand for accounting information and (2) their willingness to rely on cash flow forecasts as valuable information signals. The descriptive validity of these assumptions in an international context is a priori not obvious. I then test whether substantial changes in investor protection and/or earnings quality relate to changes in the frequency of cash flow forecasts. My analyses show that analysts' propensity to issue cash flow forecasts increases after the first prosecution under insider trading laws, after non-U.S. firms have cross-listed their shares on a U.S. exchange, or after firms have voluntarily replaced their domestic accounting standards with IFRS or U.S. GAAP. Thus, I conclude that the reasoning behind the levels results does not simply extend to a changes setting.


An Empirical Study of Financial Analysts Earnings Forecast Accuracy

An Empirical Study of Financial Analysts Earnings Forecast Accuracy
Author: Andrew Stotz
Publisher:
Total Pages: 122
Release: 2017
Genre:
ISBN:

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Over the past 12 years, financial analysts across the world have been optimistically wrong with their 12-month earnings forecasts by 25.3%. This study may be the first of its kind to assess analyst earnings forecast accuracy at all listed companies across the globe, covering 70 countries. A review of prior research shows little uniformity in the preparation of the data set, yet differences in how outliers are treated, for example, can create substantially different results. This research lays out six specific steps to prepare the data set before any analysis is done.Three main conclusions come from this research: First, analyst earnings forecasts globally were 25.3% optimistically wrong, meaning on average, analysts started each year forecasting company profits of US$125, but 12 months later that company reported profits of US$100. Second, analysts had a harder time forecasting earnings for companies in emerging markets, where they were 35% optimistically wrong. Third, that analyst optimism mainly occurred when the companies they forecasted experienced very low levels of actual earnings growth, analysts did not make an equal, but opposite error for fast growth companies.


New Determinants of Analysts’ Earnings Forecast Accuracy

New Determinants of Analysts’ Earnings Forecast Accuracy
Author: Tanja Klettke
Publisher: Springer Science & Business
Total Pages: 120
Release: 2014-04-28
Genre: Business & Economics
ISBN: 3658056347

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Financial analysts provide information in their research reports and thereby help forming expectations of a firm’s future business performance. Thus, it is essential to recognize analysts who provide the most precise forecasts and the accounting literature identifies characteristics that help finding the most accurate analysts. Tanja Klettke detects new relationships and identifies two new determinants of earnings forecast accuracy. These new determinants are an analyst’s “general forecast effort” and the “number of supplementary forecasts”. Within two comprehensive empirical investigations she proves these measures’ power to explain accuracy differences. Tanja Klettke’s research helps investors and researchers to identify more accurate earnings forecasts.