Nonlinear regression models are extensively applied across various scientific disciplines. It is vital to accurately fit the optimal nonlinear model while considering the biases of the Bayesian optimal design. We present a Bayesian optimal design by utilising the Dirichlet process as a prior....

In this paper we develop a novel semi-nonparametric panel copula model with external covariates for the study of wage rank dynamics. We focus on nonlinear dependence between the current and lagged worker's ranks in the wage residuals distribution, conditionally on individual characteristics. We...

We introduce a new dynamic clustering method for multivariate panel data char- acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

We build a simple dynamic structural model of the firm, with state variable being earnings. It can address general empirical levels of investment, dividends, equity issuance in distress, leverage, debt duration, and liquidation/bankruptcy. Firms with very low leverage carry a substantial...

In this paper the zero vanna implied volatility approximation for the price of freshly minted volatility swaps is generalized to seasoned volatility swaps. We also derive how volatility swaps can be hedged using a strip of vanilla options with Gaussian weights. For the family of stochastic...