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Samuel Kwaku Agyei

Researcher at University of Cape Coast

Publications -  52
Citations -  805

Samuel Kwaku Agyei is an academic researcher from University of Cape Coast. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 8, co-authored 21 publications receiving 357 citations.

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Emerging markets equities’ response to geopolitical risk: Time-frequency evidence from the Russian-Ukrainian conflict era

Samuel Kwaku Agyei
- 01 Jan 2023 - 
TL;DR: In this article , the authors investigated the asymmetric interdependence between geopolitical risk and the stock markets of the top-seven emerging (E7) countries (i.e., Mexico, Russia, Turkey, India, China, Indonesia, and Brazil) in the ongoing geopolitical conflict between Russia and Ukraine.
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Asymmetric Exchange Rate Pass-Through to Consumer Prices in Ghana: Evidence EMD-NARDL Approach

TL;DR: In this article , the authors analyzed the US dollar exchange rate pass-through to consumer prices in Ghana from January 1990 to January 2020 using the empirical mode decomposition-based nonlinear autoregressive distributed lags model (EMD-NARDL).
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Interdependence structure of global commodity classes and African equity markets: A vector wavelet coherence analysis

TL;DR: In this article , the authors examined the multiple, quadruple, and n-dimensional interdependencies between the returns on global commodities and African equity markets using vector wavelet coherence approach.

Determinants of working capital requirement and policies of banks in Ghana

TL;DR: In this paper, the authors tried to find out the determinants of working capital requirements and working capital management policies in the Ghanaian Banking Industry using panel methodology within the random or fixed effects framework.
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Markowitz Mean-Variance Portfolio Selection and Optimization under a Behavioral Spectacle: New Empirical Evidence

TL;DR: In this paper , the robustness of the conventional mean-variance (MV) optimization model was investigated by making two adjustments within the MV formulation, namely, portfolio selection based on a behavioral decision-making theory that encapsulates the MV statistics and investors psychology, and the second aspect involves capturing the portfolio asset dependence structure through copula.