I extend Yan and Zivot (2007)'s dynamic measure of price discovery based on impulse response functions of structural shocks to a trivariate model with two common trends. To investigate price discovery for 7 Canadian firms cross-border listed in the Toronto Stock Exchange Market (TSX) and the New...

On several occasions technical analysis rules have been shown to have predictive power. The main purpose of this work is to decompose the predictive power of the moving average trading rule and isolate the portion that could be attributed to the possible exploitation of linear and non linear...

Purpose: This paper examines the volatility of stock return in Dhaka stock exchange, BangladeshMethodology: Using Random Walk model (RW), Autoregressive model (AR), Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, and extensive GARCH model with Normal, and Student...

In this paper we have assessed an influence of the NYSE Stock Exchange indexes (DJIA and NASDAQ) and European Stock indexes (DAX and FTSE) on the Warsaw Stock Exchange index WIG within a framework of a GARCH model. By applying a procedure of checking predictive quality of econometric models as...

This paper applies an intuitive approach based on stock market data to a unique dataset of large concentrations during the period 1990-2002 to assess the effectiveness of European merger control. The basic idea is to relate announcement and decision abnormal returns. Under a set of four...

We investigate predictive abilities of nonlinear models for stock returns when density forecasts are evaluated and compared instead of the conditional mean point forecasts. The aim of this paper is to show whether the in-sample evidence of strong nonlinearity in mean may be exploited for...

The aim of this paper is to use an econometric model for the period (3/1/2000- 31/12/2016) in order to examine if a (Μ&Α) affects the share prices of eight big US acquiring banks. GARCH analysis will be thus used on daily data. Some advantages of GARCH models will be explained

Based on regime shifts test with MSAR model,The paper estimates the MSVAR model to investigate the interactive relationships between stock market and oil price using monthly data ranging from Jan 1991 to Jul 2014. The results show that the volatilities of both stock market and crude oil price...

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...