This paper proposes a new class of nonlinear interval models for interval-valued time series (ITS). By matching the interval model with interval observations, we develop a nonlinearminimum-distance estimation method for the proposed models, and establish the asymptotictheory for the proposed...

The assumption that market efficiency informs the pricing of oil stocks is critical to understanding the co-movement between stock markets and oil markets. To test this assumption in relation to various types of real oil price changes, this article proposes a two-stage analysis method that...

By decomposing asset returns into potential maximum gain (PMG) and potential maximum loss (PML) with price extremes, this study empirically investigated the relationships between PMG and PML. We found significant asymmetry between PMG and PML. PML significantly contributed to forecasting PMG but...

This paper derives a new decomposition of stock returns using price extremes and proposes a conditional autoregressive shape (CARS) model with beta density to predict the direction of stock returns. The CARS model is continuously valued, which makes it different from binary classification...

Japanese candlestick has been widely used in investment practice, however its predicting power has not yet been scrutinized in academic literature. This paper investigates the forecasting power of Japanese candlestick augumented by Halloween effect in stock returns. Empirical studies performed...