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(9)
Asset Prices
Financial Market
Foreign Exchange Rate
Method of Simulated Moments
Monte Carlo Method
Stochastic Volatility
Stochastic Volatility Model
Stock Market
Agent Based
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Estimation of a Structural Stochastic Volatility Model of Asset Pricing
Estimation of a Structural Stochastic Volatility Model of Asset Pricing,10.1007/s10614-010-9238-7,Computational Economics,Reiner Franke,Frank Westerho
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Estimation of a Structural Stochastic Volatility Model of Asset Pricing
(
Citations: 2
)
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Reiner Franke
,
Frank Westerhoff
The paper estimates an elementary agent-based
financial market
model recently put forward by the same authors. Invoking the two trader types of fundamentalists and chartists, it comprises four features: price determination by excess demand; a herding mechanism that gives rise to a macroscopic adjustment equation for the population shares of the two groups; a rush towards fundamentalism when the price misalignment becomes too large; and, finally, differently strong noise components in the demand per chartist and fundamentalist trader, which implies a structural
stochastic volatility
in the returns. The estimation is performed using the method of simulated moments. Combining it with bootstrap and
Monte Carlo
methods, it is found that the model cannot be rejected by the empirical daily returns from a
stock market
index and a
foreign exchange
rate. Measures of the matching of the single moments are satisfactory, too, while the behavioural parameters are well identified and are able to discriminate between the two markets.
Journal:
Computational Economics - COMPUT ECON
, vol. 38, no. 1, pp. 53-83, 2011
DOI:
10.1007/s10614-010-9238-7
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Citations
(2)
Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models
(
Citations: 1
)
Oliver Hermsen
,
Björn-Christopher Witte
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Published in 2010.
Validation of a Structural Stochastic Volatility Model of Asset Pricing
(
Citations: 3
)
Reiner Franke
,
Frank Westerho
Published in 2009.