ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index

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Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

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"ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index"
written by Paulo Rotela Junior, Fernando Luiz Riêra Salomon, Edson de Oliveira Pamplona,
published by Applied Mathematics, Vol.5 No.21, 2014

has been cited by the following article(s):

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[20]	FORECASTING CONSUMER PRICE INDEX (CPI) USING TIME SERIES MODELS AND MULTI REGRESSION MODELS (ALBANIA CASE STUDY) 10th International Scientific Conference “Business and Management 2018”, 2018 DOI:10.3846/bm.2018.51

[21]	Patterns of gender parity in the humanities and STEM programs: the trajectory under the expanded higher education system Studies in Higher Education, 2018 DOI:10.1080/03075079.2018.1550479

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