The paper examines Granger-causality between the producers' and the consumers' price using Australian data within the frequency domain framework. For long run relation, the Johansen and Juselius (1990) maximum likelihood approach to cointegration was utilized. The test is also supplemented by...

Understanding the impact of exchange rate movements on prices is critical from a policy perspective in order to gauge the appropriate monetary policy response to currency movements. This study assesses the extent to which the movements in exchange rate affect domestic consumer prices in Pakistan...

Academic literature on central bank communication has tended to treat a central bank's audience as a single group, represented by the financial markets. However, recognising that a central bank's audience is heterogeneous is advantageous for both modelling purposes and effective central bank...

Technical analysis is one of the useful forecasting methods to predict the future stock prices. For professional stock analysts and fund managers, how to select necessary technical indicators to forecast stock trends is important. Traditionally, stock analysts have used linear time series models...

I investigate macro effects of higher bank capital requirements on the Norwegian economy and their use as a macroprudential policy instrument under Basel III. To this end, I develop a macroeconometric model where the capital adequacy ratio, lending rates, asset prices and credit interact with...

Forecasting poverty in the future is mostly a matter of forecasting economic growth. The objective of the study is to examine the inter-temporal link between growth and poverty in Pakistan, over the next 25years period i.e., from the years 2011 to 2035. The generalized version of variance...

The study provides evidence in favor of the price range as a proxy estimator of volatility in financial time series, in the cases that either intra-day datasets are unavailable or they are available at a low sampling frequency.

We examine both in-sample and out-of-sample predictability of South African stock return using macroeconomic variables. We base our analysis on a predictive regression framework, using monthly data covering the in-sample period between 1990:01 and 1996:12, and the out-of sample period commencing...

A spatial error model is classified as a geostatistical model or a weight matrix model on the basis of the method of specification of spatial autocorrelation in the disturbance. Specification errors cannot be assumed to be absent, and the robustness of alternative specifications is useful for...

Although many studies on the directional accuracy of forecasts by international organizations and professional forecasters have been scrutinized, little attention has been paid to forecasts by business leaders. In order to address this gap, we use directional tests to investigate whether...