We develop a novel filtering and estimation procedure for parametric option pricing models driven by general affine jump-diffusions. Our procedure is based on the comparison between an option-implied, model-free representation of the conditional log-characteristic function and the model-implied...

This study investigated how stock market volatility responded dynamically to unexpected changes during the COVID-19 pandemic and the resulting uncertainty in Thailand. Using a multivariate GARCH-BEKK model, the conditional volatility dynamics, the interlinkages, and the conditional correlations...

The spillover index developed by Diebold and Yilmaz (Economic Journal, 2009, vol. 119, pp. 158–171) is widely used to measure connectedness in economics and finance. Abrupt increases in the spillover index are thought to result from major economic and financial events, but formal evidence of...

We propose a novel estimation approach for a general class of semi-parametric time series models where the conditional expectation is modeled through a parametric function. The proposed class of estimators is based on a Gaussian quasi-likelihood function and it relies on the specification of a...

Realized covariance models specify the conditional expectation of a realized covariance matrix as a function of past realized covariance matrices through a GARCH-type structure. We compare the forecasting performance of several such models in terms of economic value, measured through economic...

This paper presents the progress in the integration of the Latin American Integrated Market (MILA by its Spanish acronym) by studying the dynamic relationship between the volatilities of the markets that conform it: Colombia, Mexico, Peru and Chile. To achieve this objective, data between 2002...

The pricing dynamics of oil-based commodities are frequently influenced by reported events. Our analysis spans almost 900 oil-related events from 1978 to 2022, categorizing them based on recurring characteristics. Employing a novel bootstrap-after-bootstrap testing econometric framework, we...

This paper aims to model the joint dynamics of cryptocurrencies in a nonstationary setting. In particular, we analyze the role of cointegration relationships within a large system of cryptocurrencies in a vector error correction model (VECM) framework. To enable analysis in a dynamic setting, we...

In this paper, we analyze the capacity of supremum augmented Dickey–Fuller (SADF), generalized SADF (GSADF), and of several heteroscedasticity-adjusted sup-ADF-style tests for detecting and date-stamping financial bubbles. Our Monte Carlo simulations find that the majority of the sup-ADF-style...

Using a novel three-phase model based upon a conditional autoregressive Wishart (CAW) framework for the realized (co)variances of the US Dow Jones and the German stock index DAX, we analyze intra-daily volatility spillovers between the US and German stock markets. The proposed model explicitly...