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Niranjan Chipalkatti's
Scholarly Papers
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Earnings Predictability, Information Asymmetry, and Market Liquidity
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John Felix Affleck-Graves University of Notre Dame - Department of Finance Carolyn M. Callahan University of Memphis Niranjan Chipalkatti Ohio Northern University
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Posted:
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17 Mar 97
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Last Revised:
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13 May 02
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John Felix Affleck-Graves University of Notre Dame - Department of Finance Carolyn M. Callahan University of Memphis Niranjan Chipalkatti Ohio Northern University
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13 May 02
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13 May 02
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Abstract:
We investigate the relation between earnings predictability, information asymmetry and the behavior of the adverse selection cost component of the bid-ask spread around quarterly earnings announcements for NASDAQ firms. While we find an increase in the adverse selection component of the bid-ask spread on the day of and the day prior to quarterly earnings announcements for firms with less predictable earnings, we find no evidence of such changes for firms with more predictable earnings. During a non-announcement period, we find that firms with relatively less predictable earnings have consistently higher total bid-ask spreads than firms with more predictable earnings. This finding suggests that firms with relatively less predictable earnings have a higher cost of equity capital than comparable firms with more predictable earning streams, ceteris paribus. Hence, earnings predictability may be a legitimate concern of managers who wish to minimize their cost of equity capital at least as it pertains to bid-ask spreads.
earnings predictability, bid-ask spreads, cost of capital
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John Felix Affleck-Graves University of Notre Dame - Department of Finance Carolyn M. Callahan University of Memphis Niranjan Chipalkatti Ohio Northern University
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17 Mar 97
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Last Revised:
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05 May 02
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Abstract:
This study examines the association between earnings predictability and the behavior of the bid-ask spread (transaction costs), the adverse selection cost component of the spread, and trading volume around quarterly earnings announcements. We also consider the impact of earnings volatility and frequency of accounting changes on our earnings predictability measure. Consistent with the theoretical work in the literature (e.g., Glosten and Harris (1988)), we argue that more noisy (less predictable) earnings signals aggravate the information asymmetries between privately informed investors and market-makers in the capital markets. To compensate for this informational disadvantage, the market-makers' increase in the bid-ask spread at the time of an earnings announcement is expected to be more pronounced for firms with less predictable earnings.Consistent with our differential earnings predictability argument, we find an increase in the adverse selection component of the bid-ask spread on the day of and the day prior to the earnings announcement date for firms with less predictable earnings. In contrast, we find no evidence of a significant change in the adverse selection component of the bid-ask spread around quarterly earnings announcements of firms with highly predictable earnings. Consistent with earlier studies, we find significant increases in trading volume around earnings announcements. Ceteris paribus, this higher volume should lead to lower spreads. The increase in spreads we document therefore suggest that the increased volume is not sufficient to offset the increase in the adverse selection cost faced by market-makers. Our results suggest that the predictability of the earnings signal affects transactions costs and may impact the firm's cost of capital, a matter of interest to corporate managers and shareholders.
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