An Empirical Analysis Of The Value Line Earnings Predictability Index
Author(s) -
Suzanne M. Luttman,
Peter A. Silhan
Publication year - 2011
Publication title -
journal of applied business research (jabr)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 22
eISSN - 2157-8834
pISSN - 0892-7626
DOI - 10.19030/jabr.v9i4.6000
Subject(s) - predictability , earnings , econometrics , index (typography) , economics , statistics , mathematics , computer science , accounting , world wide web
The earnings of some companies are easier to analyze and predict than others. Because earnings predictability affects stock prices, investors and researchers have relied on a variety of indexes, such as the Value Line Earnings Predictability Index (VLPI), to gauge ex ante differences in predictability. This study empirically analyzes the performance of VLPI versus several other indexes. Rank correlations with subsequent earnings forecast errors are used to measure index performance. Interestingly, the results indicate that VLPI performs as well as a corresponding index based on past forecasting accuracy.
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