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Dive into the research topics where May H. Lo is active.

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Featured researches published by May H. Lo.


Journal of Accounting and Public Policy | 2003

Analysts' vs. investors' weightings of accruals in forecasting annual earnings

Pieter T. Elgers; May H. Lo; Ray J. Pfeiffer

Abstract This paper examines whether financial analysts’ forecasts of annual earnings reflect an over-weighting of working-capital accruals that is comparable to the over-weighting implicit in securities prices documented in Sloan [Account. Rev. 71 (1996) 289] and Bradshaw et al. [J. Account. Res. 39 (2001) 45]. Our results indicate that the over-weighting of working-capital accruals in analysts’ earnings forecasts is less than one-third of the over-weighting by investors that is implicit in stock prices. Moreover, we are able to attribute less than 40% of the delayed securities returns associated with working-capital accruals to subsequent errors in analysts’ annual earnings forecasts, for firms with lower analyst coverage. These findings suggest that securities market inefficiencies that are unrelated to financial analysts’ earnings forecasts underlie at least part of the accruals-related anomaly.


Asia-pacific Journal of Accounting & Economics | 2018

Assessing investors’ earnings expectations: the contextual usefulness of composite forecasts

May H. Lo; Wenjuan Xie; Le (Emily) Xu

ABSTRACT This study constructs composite forecasts and evaluates their contextual usefulness as a proxy for investors’ expectations of annual earnings. Our empirical tests utilize composites of three forecast sources: financial analysts’, time-series and security-price based forecasts. Our full sample results support the incremental usefulness of composite forecasts, over and above that of any of the three forecast sources. Moreover, results from partitioned subsamples show that the usefulness of composite forecasts is contextual. Composite forecasts are a better proxy for investors’ earnings expectations when (1) the information environment is relatively poor; or (2) firms experience negative performance in the prior year.


Archive | 1999

Diversifying Earnings Forecast Errors via Composites of Market-Based, Analyst and Time-Series Predictions

Pieter T. Elgers; May H. Lo; Dennis Murray

Accuracy in predicting earnings is a fundamental concern in investment analysis. The substantial resources devoted to the production and dissemination of earnings forecasts evidence the reliance by investors upon earnings expectations for purposes of portfolio management.1 Analytical research in finance has established the relevance of earnings to security valuation, and empirical research has shown that shifts in earnings expectations are associated with revisions in security prices.


Journal of Accounting Research | 1994

REDUCTIONS IN ANALYSTS ANNUAL EARNINGS FORECAST ERRORS USING INFORMATION IN PRIOR EARNINGS AND SECURITY RETURNS

Pieter T. Elgers; May H. Lo


The Accounting Review | 2001

Delayed Security Price Adjustments to Financial Analysts' Forecasts of Annual Earnings

Pieter T. Elgers; May H. Lo; Ray J. Pfeiffer


Archive | 1999

Additional Evidence on the Incremental Information Content of Cash Flows and Accruals: The Impact of Errors in Measuring Market Expectations

Ray J. Pfeiffer; Pieter T. Elgers; May H. Lo; Lynn L. Rees


Management Science | 1995

Note on adjustments to analysts' earnings forecasts based upon systematic cross-sectional components of prior-period errors

Pieter T. Elgers; May H. Lo; Dennis Murray


The Financial Review | 1998

Alternative Adjustments to Analysts' Earnings Forecasts: Relative and Complementary Performance

May H. Lo; Pieter T. Elgers


Asia-pacific Journal of Accounting & Economics | 2004

Securities market weightings of complementary earnings predictors: Biased expectations or omitted risk measures?

Pieter T. Elgers; May H. Lo


Review of Pacific Basin Financial Markets and Policies | 2016

A Contextual Evaluation of Composite Forecasts of Annual Earnings

Pieter T. Elgers; May H. Lo; Wenjuan Xie; Le Emily Xu

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Pieter T. Elgers

University of Massachusetts Amherst

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Ray J. Pfeiffer

Texas Christian University

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Dennis Murray

University of Colorado Denver

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Le Emily Xu

University of New Hampshire

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Wenjuan Xie

University of New Hampshire

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Le (Emily) Xu

University of New Hampshire

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