This paper uses an innovative method through combining autoregressive distributed lag model and a quantile regression, called a quantile autoregressive distributed lag model, to examine the dynamic long-run equilibrium and short-run causal relationship between the stock price of China and the RMB/USD exchange rate from January 1994 to June 2016. The results indicate that there is long-run coint...

We provide a new sequential predictors approach for the exponential stabilization of linear time-varying systems. Our method circumvents the problem of constructing and estimating distributed terms in the control laws, and allows arbitrarily large input delay bounds, pointwise time-varying input delays, and uncertainties. Instead of using distributed terms, our approach to handling longer delay...

In this paper, we describe a stabilization method for linear time-delay systems which extends the classical pole placement method for ordinary di7erential equations. Unlike methods based on :nite spectrum assignment, our method does not render the closed loop system, :nite dimensional but consists of controlling the rightmost eigenvalues. Because these are moved to the left half plane in a (qua...

We discuss a nite horizon H∞ control problem for time-varying systems with input delays. Clarifying a relationship between two H∞ control problems in input delay case and in measurement delay case, we derive a solution in input delay case based on the known result for the H∞ control problem in measurement delay case, and show that the solution has the same predictor–observer structure as the so...

This study examines the meaningful relationship between economic growth, and service sector contribution and domestic investment in two major Asian economies, namely India and China. Autoregressive Distributed Lag (ARDL) bounds testing procedure is employed to analyze the impact of the selected variables namely (1) contribution by the service sector, (2) (4) domestic investment on economic grow...

In this paper we investigate natural gas producer’s reactions to changes in market prices. We estimate price elasticities of aggregated supply in the most competitive market for natural gas: the United States. Using monthly time series data form 1987 to 2012 our analysis is based on an Autoregressive Distributed Lag (ARDL) Bound Cointegration approach to obtain short and long-run elasticities o...

The study examined the relationship between stock market performance and economic growth in Nigeria. It utilized the bounds testing co-integration procedure also known as autoregressive distributed lag estimation procedure. The empirical model combined key stock market indicators and some traditional macroeconomic variables to estimate the hypothesized relationship in the study. It found that i...

This paper attempts to test the effect that wind power production has on the variability of wholesale electricity prices in the spot market. I use a simple distributed lag econometric model and five years worth of hourly and daily data from Denmark, which is one of the few places with a long history of significant wind power penetration. I show that wind power has the effect of reducing intra-d...

This study investigates the impact of energy consumption and financial development on economic growth using neo-classical production function in the case of US. The ARDL (Autoregressive distributed lag) bounds testing approach with additional variables (energy consumption and financial development) is used to investigate cointegration during the period of 1967-2012 in US. The ARDL reveals a coi...

In this paper, we propose new tests for threshold cointegration in the autoregressive distributed lag (ADL) model. The indicators in the threshold model are based on either a nonstationary or stationary threshold variable. The cointegrating vector in this paper is not pre-specified. We adopt a supremum Wald type test to account for the so-called Davies problem. The asymptotic null distributions...