The COVID-19 outbreak was a rare and unprecedented phenomenon. Hence, the pandemic forces world economy to react unpredictably. Governments worldwide have undertaken several precautions, including social distance measures, public awareness programs, policies on testing quarantine, financial aid packages. Using endogenous growth theory, this paper examines impact of towards Malaysia key economic...

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of ten Central and Eastern European transition economies as well as its indirect impact via changes in exchange rate regimes. Not only aggregate but also bilateral and sectoral export flows are studied. To this end, we first analyze shifts in exchange rate volatility linked to changes in the exchange rate regimes and second, use these changes to construct dummy variables we include in our expor...

The paper addresses the problem of using Japanese candlestick methodology to analyze stock or forex market data by neural nets. Self organizing maps are presented as tools for providing maps of known candlestick formations. They may be used to visualize these patterns, and as inputs for more complex trading decision systems. In that case their role is preprocessing, coding and pre-classificatio...

Expert methods, which widely applied for human decision making, were employed for neural networks. It was developed an exchange rates prediction and trading algorithm with using of experts information processing techniques Delphi method and prediction compatibility. Proposed algorithm limited to eight experts. Each of experts represented recurrent neural network, Evolino-based Long ShortTerm Me...

This paper advances Multilevel Stochastic Dynamic Process (MSDP) models as a new framework for modelling nonstationary and nonlinear time series and complex systems, and discuss possible applications of MSDP models in global financial market analysis and surveillance. Both the discreteand continuous-time forms of MSDP models are constructed: Multilevel Structural Time Series (MSTS) with Unobser...