This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models. VAR models have become one of the most applied models for the analysis of multivariate time series. Econometric standard software usually provides parameter estimators that...

I/O models have been widely used to assess the impacts of many changes in an economy. An I/O model is also an important tool to make forecasts and the results from an I/O model are very helpful in many policy-making processes. Many scientific findings in economics have to give credit to the I/O...

This paper examines both the linear and nonlinear causal relationships between crude oil price changes and stock market returns for the United States. In particular, the study applied a battery of unit root tests to ascertain the time series properties of crude oil price changes and stock market...

The liquidity of an asset in modern financial markets is a key and, yet, elusive concept. A market is often said to be liquid when the prevailing structure of transactions provides a prompt and secure link between the demand and supply of assets, thus delivering low costs of transaction....

This study investigates the dynamic relationship between stock return and trading volume in the banking sector of Amman Stock Exchange (ASE). In addition, it reveals the nature and direction of this relationship. Therefore, several tests were utilized to include: Bivariate regression model,...

The paper tests the CAPM for the Brazilian stock market using dynamic betas. The sample involves 28 stocks included in the Ibovespa portfolio as of March 21, 2012 and that were traded during the period from Jan. 01, 1995 to March 20, 2012. Dynamic betas were estimated and conditional betas...

This contribution studies the out-of-sample performance of trading strategies applying 2-State-Markov-Switching models. Thereby, different probability thresholds are considered where the investor decides when to go in, respectively, out of the stock market. Furthermore, the investor may decide...

The capacity of input-output tables to reflect the structural peculiarities of an economy and to forecast, on this basis, its evolution, depends essentially on the characteristics of the matrix A—matrix of I-O (or technical) coefficients. However, the temporal behaviour of these coefficients...

This study investigates models for overnight interest rate volatility in Turkey and USA using the Asymmetric GARCH models and determines the best forecasting volatility models. These models are then completed with the use of out of sample forecasting. The best forecasting volatility models were...

The purpose of our present study is to strike out suitable models to explain the growth pattern and to forecast for urban population in SAARC countries. Using the data from UNPD for the years 1950 to 2000 in five years interval, we fitted both exponential and ARMA models. We found the...