89 research outputs found

    A simultaneous equations analysis of analysts’ forecast bias and institutional ownership

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    In this paper we use a simultaneous equations model to examine the relationship between analysts' forecasting decisions and institutions' investment decisions. Neglecting their interaction results in model misspecification. We find that analysts' optimism concerning a firm's earnings responds positively to changes in the number of institutions holding the firm's stock. At the same time, institutional demand responds positively to increases in analysts' optimism. We also investigate several firm characteristics as determinants of analysts' and institutions' decisions. We conclude that agency-driven behavioral considerations are significant.Financial institutions ; Forecasting ; Financial markets

    Institutional investors, analyst following, and the January anomaly

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    Studies have documented that average stock returns for small, low-stock-price firms are higher in January than for the rest of the year. Two explanations have received a great deal of attention: the tax-loss selling hypothesis and the gamesmanship hypothesis. This paper documents that seasonality in returns is not a phenomenon observed only for small firms' stock or those with low prices. Strong seasonality in excess returns is reported for a sample of widely followed firms. Sample firms have unusually low excess returns in January, and returns adjust upward over the remainder of the year. These results are consistent with the gamesmanship hypothesis but not the tax-loss-selling hypothesis. As financial institutions rebalance their portfolios in January to sell the stock of highly visible and low-risk firms, there is downward price pressure in January. In addition, the results suggest that firm visibility explains why seasonality in returns is related to firm size and stock price. Once we control for visibility, market value and uncertainty do not appear to be important determinants of seasonality.Financial markets ; Seasonal variations (Economics)

    Valuing Internet Ventures

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    This article attempts to demonstrate that Internet venture valuations are not subject to different valuation standards and rules, even though one needs to expand on the traditional valuation approach to make it applicable to internet valuations. It is shown that traditional valuation methods (such as the discounted cash flows approach) understate value twice; first, when risk changes over time and second, when flexibility matters to an investment decision. As a result, when analysts use traditional valuation approaches to value Internet companies, they may arrive at estimates of very low P/E ratios vis-Ă -vis observed multiples. The observed high P/E ratios may make most investors turn away from such investments, although the high P/E ratios may be justified based on the option to great riches in the future and the lower risk associated with Internet ventures cash flows in the future given successful progression through early phases.
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