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  1. 1 paź 2021 · the New York Stock Exchange and the Nigerian Stock Exchange using the ARIMA model illustrates that there is poten tial in the model for predicting stock prices on a short term basis (Adebiyiet,...

  2. 30 paź 2023 · In this article, let’s explore this topic, by attempting to forecast gold prices using time series decomposition and Autoregression Integrated Moving Average (ARIMA).

  3. 29 kwi 2021 · Introduction. A principal concern for investors in financial assets is how to protect their investment portfolios from adverse movements in the market.

  4. 29 kwi 2024 · The gold sector is macro-critical in several African countries. Gold prices have risen since the middle of February 2024 due to geopolitical tensions, central bank easing expectations, and increased central bank demand.

  5. 28 gru 2023 · Our outlook for gold prices in 2024 – 2026 is based on the possible outcomes of economic policies, geopolitical tensions, and currency dynamics. In this analysis, we delve into critical factors that will exert a profound influence on gold's price structure over the next three years.

  6. 1 cze 2021 · This paper studies the dynamic relationship between the gold price returns and its affecting factors. Then we use the STL-ETS, neural network and Bayesian structural time series model to predict the gold price returns, and compare their performance with the benchmark models.

  7. 1 paź 2023 · Our models, particularly the GBRT and XGBoost models, achieved high levels of accuracy in predicting gold price movements, providing investors and financial analysts with a more accurate and reliable tool for making informed decisions about gold investments.

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