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      주식수익률에 대한 적절한 이자율지표 = The Appropriate Interest Rate Index for Stock Returns

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      https://www.riss.kr/link?id=A108172516

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      다국어 초록 (Multilingual Abstract)

      This study investigates the effects of interest rate on stock returns, and finds out the appropriate interest index
      explaining stock returns. For this purpose, I empirically apply 15 indices of interest rate and KOSPI during the
      period of January, 2000 to December, 2020. Empirical results are as follows: First, in static model, all interest rate
      indices have significantly negative effects on KOSPI. In particular, policy rates, call rates, and loan rate of banks
      have relatively bigger effects on KOSPI. Second, in static model, loan rate to government, loan rate of bank, and
      rate of national housing bond type 1 show relatively higher significance and explanation power. But the statistics
      of this static model have credibility problems because of autocorrelation. Third, in dynamic model, all interest rate
      indices have significantly negative effects on KOSPI, too. Especially, loan rate to government and call rates have
      relatively bigger effects on KOSPI. Forth, in dynamic model, rates of CD or CP, deposit rate of bank, and rate of
      monetary stabilization bond show relatively higher significance and explanation power. Nevertheless, the statistics of
      this dynamic model don’t have credibility problems at all. Fifth, in dynamic model, all statistics of interest rate
      indices have similar results. Therefore, the policy rates decided earlier by interest rate path can be appropriate for
      convenience of forecasting. This study implies that the policy rates, like base rate, government loan rate, and so on,
      can be used as a proper interest index for forecasting stock returns.
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      This study investigates the effects of interest rate on stock returns, and finds out the appropriate interest index explaining stock returns. For this purpose, I empirically apply 15 indices of interest rate and KOSPI during the period of January, 200...

      This study investigates the effects of interest rate on stock returns, and finds out the appropriate interest index
      explaining stock returns. For this purpose, I empirically apply 15 indices of interest rate and KOSPI during the
      period of January, 2000 to December, 2020. Empirical results are as follows: First, in static model, all interest rate
      indices have significantly negative effects on KOSPI. In particular, policy rates, call rates, and loan rate of banks
      have relatively bigger effects on KOSPI. Second, in static model, loan rate to government, loan rate of bank, and
      rate of national housing bond type 1 show relatively higher significance and explanation power. But the statistics
      of this static model have credibility problems because of autocorrelation. Third, in dynamic model, all interest rate
      indices have significantly negative effects on KOSPI, too. Especially, loan rate to government and call rates have
      relatively bigger effects on KOSPI. Forth, in dynamic model, rates of CD or CP, deposit rate of bank, and rate of
      monetary stabilization bond show relatively higher significance and explanation power. Nevertheless, the statistics of
      this dynamic model don’t have credibility problems at all. Fifth, in dynamic model, all statistics of interest rate
      indices have similar results. Therefore, the policy rates decided earlier by interest rate path can be appropriate for
      convenience of forecasting. This study implies that the policy rates, like base rate, government loan rate, and so on,
      can be used as a proper interest index for forecasting stock returns.

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