This paper proposes a new class of estimators based on the inter-quantile-range of intraday returns, referred to as Inter-Quantile-Range-based volatility (IQRBV), to estimate the integrated daily volatility. As the range-based volatility measure, the IQRBV estimate is insensitive to market...

Motivated by the fact that a linear specification in a quantile regression setting is unable to describe the non-linear relations among economic variables, well documented in the empirical econometrics literature, we formulate a threshold quantile regression model for one, known and unknown...

In this paper, a simultaneous equation model with an endogenous variable and an exogenous threshold variable is analysed and estimated thereby extending Caner and Hansen (2004) model to quantile regression. In our framework, we allow both the reduced-form and the structural equation to exhibit...

In this article we reexamine the profitability of technical analysis using White`s reality check and Hansen`s SPA test that correct the data snooping bias. Compared to previous studies, we study a more complete quot;universequot; of trading techniques, including not only simple rules but also...

In this paper we propose a downside risk measure, the expectile-based Value at Risk (EVaR), which is more sensitive to the magnitude of extreme losses than the conventional quantile-based VaR (QVaR). The index $\theta$ of an EVaR is the relative cost of the expected margin shortfall and hence...

In this paper, we study the double machine learning (DML) approach of Chernozhukovet al. (2018) for estimating average treatment effect and apply this approach to examine the Big N audit quality effect in the accounting literature. This approach relies on machine learning methods and is suitable...

In this paper we evaluate the crowd-out effects of the National Health Insurance (NHI) on household precautionary saving in Taiwan. Our analysis differs from existing studies in two respects. First, we do not exclude the households with negative saving which are about one sixth of the entire...

This paper investigates the causal relations between stock return and volume based on quantile regressions. We first define Granger non-causality in all quantiles and propose testing non-causality by a sup-Wald test. Such a test is consistent against any deviation from non-causality in...