A growing body of threshold models has been developed over the past two decades to capture the nonlinear movement of financial time series. Most of these models, however, contain a single threshold variable only. In many empirical applications, models with two or more threshold variables are...

In order to realize the whole process of consumer-producer bidirectional traceability and distinguish the true from the false, according to Yinghong 9, planting, processing and circulation situation, we introduce UHF RFID and Network information technology, to design and develop the UHF RFID...

This paper develops a new investor sentiment index for the Chinese stock market. The index is constructed via the principal component approach (PCA), taking six important economic and market factors into consideration. The sentiment index serves as a threshold variable in a threshold...

This paper studies the robust estimation and inference of threshold models with integrated regressors. We derive the asymptotic distribution of the profiled least squares (LS) estimator under the diminishing threshold effect assumption that the size of the threshold effect converges to zero....

The volatility of Chinese GDP growth has been markedly lower since the mid-1990s. We utilize frequency domain and vector autoregression (VAR) methods to investigate the origin of the observed volatility reduction in the Chinese economy. Our estimation indicates that lower volatility of random...

We document differential private information in cross-border asset pricing using the probability of informed trading (PIN) for Canadian shares traded on both sides of Niagara Falls. Relative to the New York Stock Exchange (NYSE), the Toronto Stock Exchange (TSX) has more informed trades and a...

This paper considers the estimation of multiple-structural-break models under specification errors. A common example in economics is that the true model is measured in level, but a linear-log model is estimated. We show that, under specification errors, if there are more than one break points...