Quasi-variable Discount Rates and Market Volatility: An Empirical Study

Pengju Zhao , Wei Zhang , Xi Wu , Peter C. Coyte

Journal of Systems Science and Systems Engineering ›› 2023, Vol. 32 ›› Issue (5) : 515 -530.

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Journal of Systems Science and Systems Engineering ›› 2023, Vol. 32 ›› Issue (5) : 515 -530. DOI: 10.1007/s11518-023-5573-9
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Quasi-variable Discount Rates and Market Volatility: An Empirical Study

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Abstract

This paper proposes an assumption of quasi-variable discount rates to explain the excess volatility puzzle of stock market. Under the assumption, the ARMAX model is derived based on the CCAPM model and CRRA utility function to describe the linear relationship between the discount rate and the consumption growth rate. We conducted empirical research on this model using historical data of the US stock market. The results confirm a significantly negative relationship between consumption growth rate and discount rate. Subsequently, the results of Monte Carlo simulation show that given the risk preference coefficient and dividend sequence, the rational expectations price fluctuation obtained under the assumption of quasivariable discount rate is the largest.

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Stochastic discount factor / market volatility / dividend discount model / ARMAX

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Pengju Zhao, Wei Zhang, Xi Wu, Peter C. Coyte. Quasi-variable Discount Rates and Market Volatility: An Empirical Study. Journal of Systems Science and Systems Engineering, 2023, 32(5): 515-530 DOI:10.1007/s11518-023-5573-9

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