Comportamiento del mercado de divisas: una aplicación de Redes Neuronales Artificiales: http://repositorio.ulvr.edu.ec/handle/44000/4040

The objective of this study is to analyze through a neural network model the intraday performance of the Mexican peso -US dollar exchange rate as a function of the behavior of the currencies of both emerging and developed countries, among which are the South African rand (USDZAR), Turkish lira (USDT...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолч: Morales Castro , Arturo (author)
Бусад зохиолчид: Ramírez Reyes , Eliseo (author), Jiménez Zamudio, Ricardo (author)
Формат: article
Хэл сонгох:spa
Хэвлэсэн: 2020
Нөхцлүүд:
Онлайн хандалт:http://revistas.ulvr.edu.ec/index.php/yachana/article/view/625
Шошгууд: Шошго нэмэх
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Тодорхойлолт
Тойм:The objective of this study is to analyze through a neural network model the intraday performance of the Mexican peso -US dollar exchange rate as a function of the behavior of the currencies of both emerging and developed countries, among which are the South African rand (USDZAR), Turkish lira (USDTRY), Russian rouble (USDRUB), Polish zloty (USDPLN), Czech crown (USDCZK), euro (EURUSD), Swedish krona (USDSEK), Norwegian krone (USDNOK), Swiss franc (USDCHF), Canadian dollar (USDCAD), pound sterling (GBPUSD), Japanese yen (USDJPY) and the Brazilian real currency (USDBRL), in the period from July 2018 to January 2019 to identify which of the variables analysed has the greatest impact on the behaviour of the peso exchange rate in the selected period.