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A Common-Use Proxy for Economic Performance: Application to Asymmetric Causality between the Stock Returns and Growth

Author

Listed:
  • Yuan-Ming Lee

    (Department of Finance, Diwan College of Management, Taiwan)

  • Kuan-Min Wang

    (Department of Finance, Overseas Chinese Institute of Technology, Taiwan)

  • T. Thanh-Binh Nguyen

    (Department of Accounting, Chaoyang University of Technology, Taiwan)

Abstract

This study develops a common-use proxy based on the so-called "current depth of recession" (CDR) measure of economic performance. The proposed proxy, termed MCDR, removes the limitations of the nonlinear model from the CDR. The MCDR enjoys the benefits of the CDR but also extends directly to threshold variables, becoming a useful covariate in general threshold models. Considering the correlation between annual stock returns and economic growth rates in 25 countries during the last 44 years, we employ the MCDR as a threshold variable in a threshold vector autoregressive model. The empirical results show that stock returns mostly lead economic growth rates during recessions but are unable to effectively predict growth rates during expansions. We find that the MCDR represents a useful construction, enlarging the scope of practical CDR applications.

Suggested Citation

  • Yuan-Ming Lee & Kuan-Min Wang & T. Thanh-Binh Nguyen, 2008. "A Common-Use Proxy for Economic Performance: Application to Asymmetric Causality between the Stock Returns and Growth," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 7(2), pages 101-124, August.
  • Handle: RePEc:ijb:journl:v:7:y:2008:i:2:p:101-124
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    References listed on IDEAS

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    More about this item

    Keywords

    current depth of recession; economic performance; stock return; causality;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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