We study a matched sample of individual stock market forecasts consisting of both qualitative and quantitative forecasts. This allows us to test for the quality of forecast quantification methods by comparing quantified qualitative forecasts with actual quantitative forecasts. Focusing mainly on...

We evaluate alternative multivariate models of dynamic correlations in terms of realized out-of-sample Sharpe ratios for an active portfolio manager who rebalances a portfolio of international equities on a daily basis. The evaluation period covers the recent financial crisis which was marked by...

Evidence in favour of the monetary model of exchange rate determination for the South African Rand is at best mixed. A co-integrating relationship between the nominal exchange rate and fundamentals forms the basis of the monetary model. With the econometric literature suggesting that it is the...

In this paper, we assess the informational content of daily range, realized variance, realized bipower variation, two time scale realized variance, realized range and implied volatility in daily, weekly, biweekly and monthly out-of-sample Value-at-Risk (VaR) predictions. We use the recently...

This study uses two data mining methodologies: Classification and Regression Trees (C&RT) and Generalized Rule Induction (GRI) to uncover patterns among daily cash closing prices of eight currency markets. Data from 2000 through 2009 is used, with the last year held out to test the robustness of...

Neural networks - feed-forward neural networks and Elman's simplerecurrent neural networks - are compared with vector ARMA models- VAR and VARMA - in this paper. They are compared in anartificial stock market. One risk free and one risky asset aretraded in the market. There are only trend...

In this paper we propose a methodology to estimate and forecast the GDP of the different regions of a country, providing quarterly profiles paper offers a new instrument for short degree of synchronicity among regional business cycles. Technically, we combine time series models with benchma...

Stock return predictability is subject to great uncertainty. In this paper we use the model confidence set approach to quantify uncertainty about expected utility from investment, accounting for potential return predictability. For monthly US data and six representative return prediction models,...

This article provides an overview of the Bank of Canada's new economic model, the Quarterly Projection Model (QPM), which has been under development at the Bank since 1989. The model has two roles. It is used to make economic projections, which are conducted quarterly and form an important basis...

The level of government debt in Canada relative to gross domestic product has risen steadily since the mid-1970s. Canada has not been alone in experiencing rising government indebtedness, but in comparison to other countries, Canada's debt load is now distinctly on the high side. The author...