The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...

The Black-Litterman (BL) model has been proposed as an alternative to Markowitz's average-variance model for the structuring of financial asset portfolios, allowing the incorporation of perspectives of fundamental analysts and guaranteeing a high degree of diversification. This model is applied...

We assess the benefits of using frequency-domain information for active portfolio management. To do so, we forecast the bond risk premium and equity risk premium using a methodology that isolates frequencies (of the predictors) with the highest predictive power. The resulting forecasts are more...

We analyze the worst currency carry loss episodes in recent decades, including causes, attribution by currency, timing, and the duration of carry drawdowns. To explore the determinants of the length of carry losses, a model of carry drawdown duration is estimated. We find evidence that drawdown...

The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single...

The purpose of this paper is to investigate the use of accounting information by Romanian financial analysts with a focus on the models used and the factors affecting their forecasts accuracy. We hypothesize that on the emergent market of Romania, analysts rely more on simple valuation models...

This study examines the relevance of integrated reporting quality (IRQ) to capital markets. We investigate whether IRQ benefits capital market participants by improving a firm's information environment, using analyst earnings forecast accuracy as a proxy. Our study focuses specifically on...

Purpose: A major challenge traders, speculators and investors are grappling with is how to accurately forecast Bitcoin price in the cryptocurrency market, This study is aimed to uncover the best model for the forecasts of Bitcoin price as well as to verify the price series that offers the best...

The interest rate assumptions for macroeconomic forecasts differ considerably among central banks. Common approaches are given by the assumption of constant interest rates, interest rates expected by market participants, or the central bank's own interest rate expectations. From a theoretical...

This paper examines the characteristics of firms that voluntarily provide interim financial reports. Based on a sample of Swiss companies, where semi-annual reports became mandatory in 1997, I document that before interim reports became mandatory, analyst coverage, i.e. analysts’ demand for...