This study aims to examine the asymmetric relationship between trade openness and FDI (foreign direct investment) inflows Vietnam by using NARDL (nonlinear autoregressive distributed lag) during period from 1997 2019. Our findings show that influence of on is in short-run long-run. But symmetric long run.

The paper features an examination of the link between behaviour FTSE 100 and S&P500 Indexes in both autoregressive distributed lag ARDL, plus a nonlinear NARDL framework. attraction is that it represents simplest method available modelling combined short- long-run asymmetries. bounds testing framework adopted means can be applied to stationary non-stationary time series vectors, or combinat...

Many of the popular nonlinear time series models require a priori the choice of parametric functions which are assumed to be appropriate in specific applications. This approach is used mainly in financial applications, when sufficient knowledge is available about the nonlinear structure between the covariates and the response. One principal strategy to investigate a broader class on nonlinear t...

This paper proposes a factor augmented autoregressive distributed lag (FADL) framework for analyzing the dynamic effects of common and idiosyncratic shocks. We first estimate the common shocks from a large panel of data with a strong factor structure. Impulse responses are then obtained from an autoregression, augmented with a distributed lag of the estimated common shocks. The approach has thr...

The 2008 crisis highlighted the importance of using stress tests in banking practice. The role of these stress tests is to identify and precisely estimate the effect of possible future changes in economic conditions on the capital adequacy and profitability of banks. This paper seeks to show a possible methodology to calculate the stressed point-in-time PD parameter. The presented approach cont...