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This paper develops a two-step estimation methodology that allows us to apply catastrophe theory to stock market returns with time-varying volatility and to model stock market crashes. In the first step, we utilize high-frequency data to estimate daily realized volatility from returns. Then, we...
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Financial-macroeconomic agent-based models offer a promising avenue for understanding complex economic interactions, but their use is hindered by challenging empirical estimation. Our paper addresses this gap by constructing a stylized integrated model and estimating its core parameters using US...
Persistent link: https://www.econbiz.de/10014532002
We examine the complexity of financial returns generated by popular agent-based models through studying multifractal properties of such time series. Specifically, we are interested in the sensitivity of the models to their parameter settings and whether some patterns emerge in the connection...
Persistent link: https://www.econbiz.de/10012828056
We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...
Persistent link: https://www.econbiz.de/10012832284
We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...
Persistent link: https://www.econbiz.de/10012242861
We explore possible effects of a Tobin tax on exchange rate dynamics in a heterogeneous agent model. To assess the impact of the Tobin tax in this framework, we extend the model of De Grauwe and Grimaldi (2006) by including transaction costs and perform numerical simulations. Motivated by the...
Persistent link: https://www.econbiz.de/10012937054
This paper addresses the moment selection issue of the simulated method of moments, which is an estimation technique commonly applied to analytically intractable agent-based models. To reduce the arbitrariness of the choice of moments, we develop a simple machine learning extension on top of...
Persistent link: https://www.econbiz.de/10013291489
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