In this study, a vector autoregression (VAR) model with time-varying parameters (TVP) to predict the daily Indian rupee (INR)/US dollar (USD) exchange rates for the Indian economy is developed. The method is based on characterization of the TVP as an optimal control problem. The methodology is a...

This paper develops a framework for evaluating the importance of the arrival of new information for forecasting, estimation, and decision making. By fusing known and recently developed statistical tests and concepts, the paper provides guidelines for detecting outliers, influential observations,...

The aim of this paper is to empirically investigate the in sample and out of sample forecasting performance of several GARCH-type models such as GARCH, EGARCH and APARCH model with Gaussian, student-t, Generalized error distribution (GED), student-t with fixed DOF 10 and GED with fixed parameter...

In this study, we treat the seasonal variation in monthly time series in the context of the Western-European tourism demand for Tunisia, by presenting different techniques of detection of seasonality and the parametric and non-parametric approaches of seasonal adjustment. Then, we compare the...

The paper examines the determinants of inflation in some West African countries. Using the Johansen technique and time series between 1970q1 and 2010q4 the study determines whether inflation in these African countries is mainly imported (via import prices and exchange rate movements) or...

This paper aims at providing quantitative analysis of the dynamics of money supply, exchange rate and inflation in Nigeria. The paper utilizes secondary data that were obtained from the International Financial Statistics (IFS), of all variables investigated in the model. The sample covers...

Although London appeared as the first international financial center on the world, the number of these kind of centers show a notable increase in the recent years. Those centers are regarded as magnetic places for the economic issues and they also serve as important economic centers. In the...

Construction companies face threats from competition, the need to adapt to modern technology, and changes in customer expectations. These issues require efficient risk management techniques. However, construction companies are late adopters of total quality management, one of the major risk...