Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing the recent literature on text-mining applications in...

Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estimation accuracy may be unstable over time. Online aggregation of experts combine the forecasts of a finite set of...

Purpose – The random walk forecast of exchange rate serves as a standard benchmark for forecast comparison. The purpose of this paper is to assess whether this benchmark is unbiased and directionally accurate under symmetric loss. The focus is on the random walk forecasts of the dollar/euro...

В предполагаемой статье раскрываются основные требования к финансовому прогнозированию, анализируется современная налоговая система, а также основные...

Статья посвящена исследованию значения финансового прогнозирования в процессе обеспечения устойчивости экономических субъектов; представлена концептуальная...

This paper reports the development and estimation of a Vector Autoregressive (VAR) econometric model representing the financial statements of a firm. Although the model can be generalized to represent the financial statements of any firm, this work was carried out as a case study, where the...

Purpose – The purpose of this paper is to propose two hybrid forecasting models which integrate available ones. A hybrid contaminated normal distribution (CND) model accurately reflects the non-normal features of monthly S&P 500 index returns, and a hybrid GARCH model captures a serial...