This study analyzes the importance of the Tokyo Stock Exchange Co-Location dataset (TSE Co-Location dataset) to forecast the realized volatility (RV) of Tokyo stock price index futures. The heterogeneous autoregressive (HAR) model is a popular linear regression model used to forecast RV. This...

We propose a novel approach that combines random forests and the wavelet transform to model the prediction of currency crises. Our classification model of random forests, built using both standard predictors and wavelet predictors, and obtained from the wavelet transform, achieves a demonstrably...

This paper discusses the time-varying degree of flexibility in exchange rate regimes and assesses the extent to which securities markets are integrated in East Asia. The dynamic conditional correlation model developed by Engle (2002) is used to analyze the time-varying characteristics of the...

This paper empirically examines the behaviour of exchange rates in order to identify de facto exchange rate regimes in post-crisis Asian countries. We use the multivariate GARCH model to estimate the conditional correlation among the value of currencies, which include the currencies of Thailand,...