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Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods

Author

Listed:
  • Hasumi, Ryo
  • Iiboshi, Hirokuni
  • Matsumae, Tatsuyoshi
  • Nakamura, Daisuke
Abstract
Using a Markov-switching prediction pool method (Waggoner and Zha, 2012) in terms of density forecasts, we assess the time-varying forecasting performance of a DSGE model incorporating a financial accelerator a la Bernanke et al. (1999) with the frictionless model by focusing on periods of financial crisis including the so-called "Bubble period" and the "Lost decade" in Japan. According to our empirical results, the accelerator improves the forecasting of investment over the whole sample period, while forecasts of consumption and inflation depend on the fluctuation of an extra financial premium between the policy interest rate and corporate loan rates. In particular, several drastic monetary policy changes might disrupt the forecasting performance of the model with the accelerator. A robust check with a dynamic pool method (Del Negro et al., 2016) also supports these results.

Suggested Citation

  • Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:85523
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    References listed on IDEAS

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    More about this item

    Keywords

    Density forecast; Optimal prediction pool; Markov-switching prediction pool; Dynamic prediction pool; Bayesian estimation; Markov Chain Monte Carlo; Financial Friction.;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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