Global Finance Trends on African Markets: Dynamism and Current Characterizations
DOI:
https://doi.org/10.56919/usci.2541.023Keywords:
Financial markets, Arbitrage, Nexus, Overvalued assets, Market energy, Market characterizationAbstract
We examine the dynamics of market arbitrage, market energies and market performance using commodity price (s), portfolio (p), and value of investment (v) to investigate current trends and their implications on the economic growth of African countries. We delve into several market inefficiencies like pricing arbitrage and how they impact opportunities and investment returns to provide novel insights into the characterizations of Africa’s markets and their influence on global finance, assuming that the three entities (spv) are independent and identically distributed with each other on a rotating S to formulate a nexus of triple finance things (si(t), pj(t), vk(t)) and state the properties of associated market index. Our analysis leads to the construction of useful financial market characterization policies vital for securing financial transactions against shocks with random energy distributions across the continent.
References
Boulila, G., & Trabelsi, M. (2004). The causality issue in the finance and growth nexus: Empirical evidence from Middle East and North African countries. Review of Middle East Economics and Finance, 2(2), 123–138. https://doi.org/10.1080/1475368042000262820 DOI: https://doi.org/10.1080/1475368042000262820
Bracchi, G. (2015). The nexus between asset pricing and macroeconomics (pp. 1–20). ResearchGate. researchgate.net https://www.researchgate.net/publication/282733541
Cowan, W. N., Chang, T., Inglesi-Lotz, R., & Gupta, R. (2014). The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries. Energy Policy, 66, 359–368. https://doi.org/10.1016/j.enpol.2013.10.081 DOI: https://doi.org/10.1016/j.enpol.2013.10.081
Crockett, A. (2003, February 5). International standard setting in financial supervision [Institute of Economic Affairs Lecture]. Cass Business School, London.
Damodaran, A. (2002). Too good to be true? The dream of arbitrage. Stern School of Business, New York University. http://pages.stern.nyu.edu/~adamodar/pdfiles/invphiloh/arbitrage.pdf
Feng, L., Li, B., Podobnic, B., Preis, T., & Stanley, H. E. (2012). Linking agent-based models and stochastic models of financial markets. Proceedings of the National Academy of Sciences, 109(22), 8388–8393. https://doi.org/10.1073/pnas.1205013109 DOI: https://doi.org/10.1073/pnas.1205013109
Fratzscher, M., & Rieth, M. (2018). Monetary policy, bank bailouts and the sovereign-bank risk nexus in the Euro area. Review of Finance, 23(4), 745–775. https://doi.org/10.1093/rof/rfy024 DOI: https://doi.org/10.1093/rof/rfy024
Hammack, R. (2013). Sets. In Book of proof. Virginia Commonwealth University.
Jayaratne, J., & Strahan, P. E. (1996). The finance-growth nexus: Evidence from bank branch deregulation. The Quarterly Journal of Economics, 111(3), 639–670. https://doi.org/10.2307/2946668 DOI: https://doi.org/10.2307/2946668
Jovanovic, F., & Schinckus, C. (2013). Econophysics: A new challenge for financial economics. Journal of the History of Economic Thought, 35(3), 1–35. https://doi.org/10.1017/S1053837213000205 DOI: https://doi.org/10.1017/S1053837213000205
Kamranialiabad, R., Hasankhani, A., & Bolourian, M. (2020). On submoduloids of a moduloid on nexus. Applications and Applied Mathematics: An International Journal (AAM, 15)(2), 1407–1435.
Luo, M., & Zhou, K. (2018). Logical foundation of the quintuple implication inference methods. International Journal of Approximate Reasoning, 101, 1–9. https://doi.org/10.1016/j.ijar.2018.06.001 DOI: https://doi.org/10.1016/j.ijar.2018.06.001
Medhi, J. (2003). Stochastic models in queuing theory. Markov chains. Carlifonia Press Inc.
Nwogugu, M. I. C. (2019). Financial indices, joint ventures and strategic alliances invalidate cumulative prospect theory, third-generation prospect theory, related approaches and intertemporal asset pricing theory: HCI and three new decision models. In Indices, index funds and ETFs (pp. 515–563). Palgrave Macmillan. https://doi.org/10.1057/978-1-137-44701-2_11 DOI: https://doi.org/10.1057/978-1-137-44701-2_11
Oksendal, B. (2003). Stochastic differential equations: An introduction with applications. Springer. ISBN 978-3-642-14394-6
Roy, R., & Shijin, S. (2018). The nexus of anomalies-stock returns and asset pricing models: The international evidence. Borsa Istanbul Review, 18(2), 1–10. https://doi.org/10.1016/j.bir.2018.02.001 DOI: https://doi.org/10.1016/j.bir.2017.08.005
Samanidou, E., Zschischang, E., Stauffer, D., & Lux, T. (2006). Microscopic models of financial market. In Lecture notes in physics (pp. 1–51). Springer.
Zukerman, M. (2013). Introduction to queueing theory and stochastic teletraffic models. arXiv:1307.2968 [math.PR]
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