What can we learn from the convenience yield of Bitcoin? Evidence from the COVID-19 crisis

Arkorful, Gideon Bruce; Chen, Haiqiang; Gu, Ming; Liu, Xiaoqun

doi:10.1016/j.iref.2023.06.029

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…The sharp rise is coincided with several factors, including the economic impact of the COVID-19 pandemic and increased institutional adoption of Bitcoin as a hedge against inflation. Market uncertainty caused by the pandemic and fiscal stimulus measures implemented by central banks has increased interest in alternative investment assets, including cryptocurrencies such as bitcoin [34]. After reaching its peak, the price of Bitcoin continued to decline, with a nearly 30% decrease from its highest price by the end of 2021.…”

Section: Trend Analysismentioning

confidence: 99%

Deep Learning-Based Bitcoin Price Forecasting Using Neural Prophet

Noviandy,

Maulana,

Idroes

et al. 2023

Ekon. J. Econ.

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This study focuses on using the Neural Prophet framework to forecast Bitcoin prices accurately. By analyzing historical Bitcoin price data, the study aims to capture patterns and dependencies to provide valuable insights and predictive models for investors, traders, and analysts in the volatile cryptocurrency market. The Neural Prophet framework, based on neural network principles, incorporates features such as automatic differencing, trend, seasonality considerations, and external variables to enhance forecasting accuracy. The model was trained and evaluated using performance metrics such as RMSE, MAE, and MAPE. The results demonstrate the model's effectiveness in capturing trends and predicting Bitcoin prices while acknowledging the challenges posed by the inherent volatility of the cryptocurrency market.

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Section: Trend Analysismentioning

confidence: 99%