Article history: Received 20 June 2014 Received in revised form 25 September 2014 Accepted 26 September 2014 Available online 5 October 2014 This paper investigates the time-varying impact of oil price uncertainty on stock prices in China using weekly data on ten sectoral indices over the period January 1997–February 2014. The estimation of a bivariate VAR-GARCH-in-mean model suggests that oil ...

We study 6,686 IPOs spanning the period 1981-2005 and find that the new issues puzzle disappears in a Fama-French three-factor framework. IPOs do not underperform in the aftermarket on a risk-adjusted basis and do not underperform a matched sample of non-issuers. IPO underperformance is concentrated in the 1980’s and early 1990’s, and IPO’s either perform the same as the market, or outperform o...

We show that a one-sector real business cycle model with mild increasing returns-toscale and variable capital utilization is able to produce qualitatively realistic business cycles driven solely by aggregate demand shocks. In particular, a positive government spending shock can lead to simultaneous increases in output, consumption, investment, employment, labor productivity and the real wage. O...

This study examines the oil price effect on Turkish stock market as an emerging country firm level data. After controlling short term interest rate, nominal exchange rate and crude price, we find that firms behave differently to a change in prices. The findings include these: i) variations prices do not significantly affect returns. Out of 153, only 38 are affected by after rate; ii) influence ...

This study uses research variables such as Trading Volume, Market Capitalization, S&P 500 Index, World Oil Price, Gold Price on Bitcoin Returns. The data source in this is through internet media with the sites https://coinmarketcap.com/, https://finance.yahoo.com/, and other that support research. used are time series, target population for sample 1,096 (3 years x 365) daily report data. we...

In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selection (DMS) and Dynamic Model Averaging (DMA) and a comparison with the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (with data on a monthly basis) are discussed. In the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...

In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selecting (DMS) and Dynamic Model Averaging (DMA) and their comparison via the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (monthly) are discussed. In the present study the variables of unofficial exchange rate changes, interest rate changes and inflation oil price forecast returns for stocks ...