Finance and Economics Discussion Series: What's Good for GM, Using Auto Industry Stock Returns to Forecast Business Cycles and Test the Q-Theory of Investment

Finance and Economics Discussion Series: What's Good for GM, Using Auto Industry Stock ...

Gregory R Duffee

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Finance and Economics Discussion Series: What's Good for ...
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    Finance and Economics Discussion Series: What's Good for GM, Using Auto Industry Stock Returns to Forecast Business Cycles and Test the Q-Theory of Investment

    $18.61 USD
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    Book Details

    Author
    Gregory R Duffee
    Publisher
    Bibliogov
    Format
    Paperback
    Language
    English
    Category
    Politics & Government
    Condition
    New
    ISBN-13
    9781288722082
    ISBN-10
    1288722087

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    Product description

    ISBN: 1288722087

    Author: Duffee, Gregory R

    Condition: New

    We examine the ability of auto industry stock returns to forecast quarterly changes in the growth rates of real GDP, consumption, and investment. We find that auto stock returns are superior to aggregate stock market returns in predicting growth rates of GDP and various forms of consumption. The superior predictive power of auto returns holds for both in-sample and out-of-sample forecasts and has not declined over time. We then apply a finding in this paper---that market returns have no explanatory power for future output or consumption growth when auto returns are included in the regression---to analyze the causal relation between the stock market and investment. We use auto returns to proxy for forecasts of future fundamentals, allowing market returns to capture the effect of the stock market on investment. We find that aggregate returns forecast equipment investment in the presence of auto returns, providing empirical support for q-theory. Results for structures investment are less convincing.

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    Finance and Economics Discussion Series: What's Good for GM, Using Auto Industry Stock Returns to Forecast Business Cycles and Test the Q-Theory of Investment

    $18.61 USD
     per 

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