2004
DOI: 10.1007/s00199-003-0397-9
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Asset price volatility and trading volume with rational beliefs

Abstract: This paper develops a model of speculative trading in a large economy with a continuum of investors. In our model the investors are assumed to have diverse beliefs which are rational in the sense of being compatible with observed data. We demonstrate the existence of price amplification effects and show that the equilibrium prices can be higher or lower than the rational expectation equilibrium price. It is also shown that trading volume is positively related to the directions of price changes. Moreover, we st… Show more

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Cited by 34 publications
(16 citation statements)
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“…The authors found that shocks to both volume and volatility processes are persistent and that the same shocks evenly dissipate at the same hyperbolic rate of decay. Wu and Guo (2004) investigated the link between asset price volatility and trading volume and show a positive relationship between trading volume and the direction of price changes. Kaproff (1987) showed that there is a positive relationship between trading volume and the direction of price changes, similar to a positive relationship between volume and the magnitude of price changes.…”
Section: Previous Literaturementioning
confidence: 99%
“…The authors found that shocks to both volume and volatility processes are persistent and that the same shocks evenly dissipate at the same hyperbolic rate of decay. Wu and Guo (2004) investigated the link between asset price volatility and trading volume and show a positive relationship between trading volume and the direction of price changes. Kaproff (1987) showed that there is a positive relationship between trading volume and the direction of price changes, similar to a positive relationship between volume and the magnitude of price changes.…”
Section: Previous Literaturementioning
confidence: 99%
“…to get the nal regression equation for the parameter 4: Table 2 gives the estimated parameters for an AR(3)-ARCH(1) model estimated on the entire sample. Once that the parameters of the model are known, it is possible to compute the theoretical P/D ratio for any given relative weight A by using Equation (25). It is then possible to estimate the relative weight A # for which the theoretical price is the closest from the price observed on the market.…”
Section: Estimation Of the Parametersmentioning
confidence: 99%
“…A sample of these studies include [16] which examined the relationship between trading volume and volatility, [17] which examined the relationship between the number of transactions and volatility, [18] examined the relationship between price range and volatility, [39] examined the relationship between interest rates and volatility, [20] examined the relationship between implied volatility and volatility and [21] which examined the relationship between the bid-ask spread and volatility. This study extends previous works by identifying a range of metrics on market conditions and allowing GP to use these as inputs in modeling volatility.…”
Section: Introductionmentioning
confidence: 99%